Position: Agentic AI Engineer Location: Dallas, TX (Day 1 onsite) We are seeking an experienced Agentic AI Engineer to design, build, and deploy enterprise-scale AI agents for large organizations. This role is focused on engineering production grade AI systems not chat bot implementation. The ideal candidate will have deep expertise in software engineering, machine learning systems, LLMs, agent frameworks, and cloud-native architectures to build scalable, secure, and reliable AI solutions. 7+ years of software development in one or more languages (Python, C/C++, Go, Java); strong hands-on experience building and maintaining large-scale Python applications preferred. 3+ years designing, architecting, testing, and launching production ML systems, including model deployment/serving, evaluation and monitoring, data processing pipelines, and model fine-tuning workflows. Practical experience with Large Language Models (LLMs): API integration, prompt engineering, fine-tuning/adaptation, and building applications using RAG and tool-using agents (vector retrieval, function calling, secure tool execution). Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude). Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions. Strong analytical problem-solving, ownership, and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact. Preferred: Proficiency building and operating on cloud infrastructure (ideally AWS), including containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift), orchestration (Step Functions), model serving (SageMaker), and infra-as-code (Terraform/CloudFormation)
08/08/2026
Position: Agentic AI Engineer Location: Dallas, TX (Day 1 onsite) We are seeking an experienced Agentic AI Engineer to design, build, and deploy enterprise-scale AI agents for large organizations. This role is focused on engineering production grade AI systems not chat bot implementation. The ideal candidate will have deep expertise in software engineering, machine learning systems, LLMs, agent frameworks, and cloud-native architectures to build scalable, secure, and reliable AI solutions. 7+ years of software development in one or more languages (Python, C/C++, Go, Java); strong hands-on experience building and maintaining large-scale Python applications preferred. 3+ years designing, architecting, testing, and launching production ML systems, including model deployment/serving, evaluation and monitoring, data processing pipelines, and model fine-tuning workflows. Practical experience with Large Language Models (LLMs): API integration, prompt engineering, fine-tuning/adaptation, and building applications using RAG and tool-using agents (vector retrieval, function calling, secure tool execution). Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude). Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions. Strong analytical problem-solving, ownership, and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact. Preferred: Proficiency building and operating on cloud infrastructure (ideally AWS), including containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift), orchestration (Step Functions), model serving (SageMaker), and infra-as-code (Terraform/CloudFormation)
Placement Services USA, Inc.
Philadelphia, Pennsylvania
Take full ownership of complex projects, ensuring definition, documentation, and the use of appropriate project management tools and processes. Oversee project resources, financials, and effectively manage the expectations of key stakeholders. Manage department budgets, invoices and allocations, inclusive of alignment to appropriate business initiative/capability. Identify and address stakeholder communication needs, translating engagement strategies into actionable deliverables. Serve as a primary contact for stakeholders, facilitating open discussions, promoting understanding, and disseminating key technical and business information. Oversee vendor relationships, ensuring performance aligns with key indicators, and address potential disputes or conflicts proactively. Utilize vendor performance data for benchmarking, informing development roadmaps with vendor expertise, and managing service improvements while considering contract negotiations. Contribute to solution architectures across specific domains, evaluating alternatives based on cost, performance, and scalability, while documenting key decisions. Craft specifications for both cloud and on-premises components and ensure that solutions align with enterprise architecture standards, including security, while supporting project and change initiatives with technical plans. Ensure team follows the corporate information security policies, standards, and guidelines, ensuring architectural principles are applied during design to reduce risk and drive their adoption and adherence. Develop code, scripts, and designs per business requirements when needed. Conduct and lead design, code, and configuration reviews. Participate in Agile rituals including daily standups, iteration planning, story huddles, retrospectives, creation of burn up charts inceptions, documenting technical work in technical stories using JIRA board, and estimating (using agile points/story sizing techniques) the work effort required to complete those stories. Design complex software applications, components and modules using appropriate modelling techniques following agreed software design standards, guidelines, patterns and methodology. Develop roadmaps to communicate future development activity. Provide technical leadership, coaching, and mentoring to onshore and offshore team members. Conduct market research, competitor analysis, and stay ahead of emerging trends. Oversee/coordinate supporting technical work required with other Five Below IT teams, including infrastructure (e.g., network, DevOps) and upstream and downstream system owners (warehouse management systems, order management systems, InfoSec, etc.). Collaborate with product and system teams to ensure thorough test coverage and identify areas for process enhancement. Analyze and report on test outcomes, including results, challenges, and risks, even when reviewing others' work. Plan and drive development projects which support the organizations objectives and plans. Identify and evaluate alternative design options and trade-offs. Create multiple design views to address the concerns of the different stakeholders and to handle functional and non-functional requirements. Lead the design and refinement of complex software configurations for deployment, collaborating on method and tool selection, ensuring adherence to standards for quality outcomes, and actively engaging in both self-review and peer-review processes. Collaborate closely with the operations team to conduct root cause analysis on intricate challenges, ensuring a thorough understanding and resolution. Lead the planning and design of release packages, collaborating with teams on scheduling and post-release reviews, and ensuring effective release processes and procedures, including rollback capabilities. Identify, evaluate, and manage the adoption of appropriate release and deployment techniques, processes, and automation tools. May work remotely. Education and Experience Requirements Requires a Bachelors degree in Computer Science, Engineering, or a closely related field and 5 years of IT experience. Must have experience with: retail industry; retail systems and infrastructure including merchandising, planning, reporting, analytics and store operations; on-premises and cloud infrastructure solutions; solution consulting; omnichannel implementation including Xstore POS, Order Management System, Order Broker, and Customer Engagement; stakeholder management, team coordination, and delivery of IT solutions; transformation projects including introducing new business processes; Java; Spring; Kafka; Microsoft Azure; and Oracle Retail. Telecommuting/Remote Work is Permitted May work remotely. Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at (link removed) with reference in the subject line. Thank you.
08/08/2026
Take full ownership of complex projects, ensuring definition, documentation, and the use of appropriate project management tools and processes. Oversee project resources, financials, and effectively manage the expectations of key stakeholders. Manage department budgets, invoices and allocations, inclusive of alignment to appropriate business initiative/capability. Identify and address stakeholder communication needs, translating engagement strategies into actionable deliverables. Serve as a primary contact for stakeholders, facilitating open discussions, promoting understanding, and disseminating key technical and business information. Oversee vendor relationships, ensuring performance aligns with key indicators, and address potential disputes or conflicts proactively. Utilize vendor performance data for benchmarking, informing development roadmaps with vendor expertise, and managing service improvements while considering contract negotiations. Contribute to solution architectures across specific domains, evaluating alternatives based on cost, performance, and scalability, while documenting key decisions. Craft specifications for both cloud and on-premises components and ensure that solutions align with enterprise architecture standards, including security, while supporting project and change initiatives with technical plans. Ensure team follows the corporate information security policies, standards, and guidelines, ensuring architectural principles are applied during design to reduce risk and drive their adoption and adherence. Develop code, scripts, and designs per business requirements when needed. Conduct and lead design, code, and configuration reviews. Participate in Agile rituals including daily standups, iteration planning, story huddles, retrospectives, creation of burn up charts inceptions, documenting technical work in technical stories using JIRA board, and estimating (using agile points/story sizing techniques) the work effort required to complete those stories. Design complex software applications, components and modules using appropriate modelling techniques following agreed software design standards, guidelines, patterns and methodology. Develop roadmaps to communicate future development activity. Provide technical leadership, coaching, and mentoring to onshore and offshore team members. Conduct market research, competitor analysis, and stay ahead of emerging trends. Oversee/coordinate supporting technical work required with other Five Below IT teams, including infrastructure (e.g., network, DevOps) and upstream and downstream system owners (warehouse management systems, order management systems, InfoSec, etc.). Collaborate with product and system teams to ensure thorough test coverage and identify areas for process enhancement. Analyze and report on test outcomes, including results, challenges, and risks, even when reviewing others' work. Plan and drive development projects which support the organizations objectives and plans. Identify and evaluate alternative design options and trade-offs. Create multiple design views to address the concerns of the different stakeholders and to handle functional and non-functional requirements. Lead the design and refinement of complex software configurations for deployment, collaborating on method and tool selection, ensuring adherence to standards for quality outcomes, and actively engaging in both self-review and peer-review processes. Collaborate closely with the operations team to conduct root cause analysis on intricate challenges, ensuring a thorough understanding and resolution. Lead the planning and design of release packages, collaborating with teams on scheduling and post-release reviews, and ensuring effective release processes and procedures, including rollback capabilities. Identify, evaluate, and manage the adoption of appropriate release and deployment techniques, processes, and automation tools. May work remotely. Education and Experience Requirements Requires a Bachelors degree in Computer Science, Engineering, or a closely related field and 5 years of IT experience. Must have experience with: retail industry; retail systems and infrastructure including merchandising, planning, reporting, analytics and store operations; on-premises and cloud infrastructure solutions; solution consulting; omnichannel implementation including Xstore POS, Order Management System, Order Broker, and Customer Engagement; stakeholder management, team coordination, and delivery of IT solutions; transformation projects including introducing new business processes; Java; Spring; Kafka; Microsoft Azure; and Oracle Retail. Telecommuting/Remote Work is Permitted May work remotely. Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at (link removed) with reference in the subject line. Thank you.
Security Clearance Required: Active TS/SCI with Full Scope Polygraph (FSP) We're looking for a Software Engineer to work with cutting-edge cloud technologies and make a real-world impact. If you're a collaborative developer with a strong foundation in Java and a passion for innovation, we'd love to hear from you. In this role, you'll join a team building and optimizing mission-critical cloud analytics platforms. You'll leverage modern big data and cloud infrastructures to solve complex data challenges, write efficient and scalable code, and implement distributed processing frameworks that deliver reliable, high-performance solutions. If you're a solution-oriented engineer who enjoys tackling technical challenges and working in a collaborative environment, this opportunity is for you. Required Skills Java Development: Strong hands-on experience building scalable, high-performance applications using modern Java frameworks. Big Data Processing: Deep technical knowledge and practical development experience with MapReduce frameworks. Cloud Development: Proven experience developing software within secure, complex cloud environments. Mission Platform Experience: Hands-on experience using the QTA platform or similar specialized data processing platforms. Preferred Skills Experience with additional distributed processing frameworks and cloud-native databases. Strong communication and collaboration skills with a team-first mindset and the ability to deliver clear, actionable technical solutions. A proactive approach to identifying system bottlenecks and contributing to architecture and performance improvements. Security Clearance Required: Active TS/SCI with Full Scope Polygraph (FSP).
08/08/2026
Security Clearance Required: Active TS/SCI with Full Scope Polygraph (FSP) We're looking for a Software Engineer to work with cutting-edge cloud technologies and make a real-world impact. If you're a collaborative developer with a strong foundation in Java and a passion for innovation, we'd love to hear from you. In this role, you'll join a team building and optimizing mission-critical cloud analytics platforms. You'll leverage modern big data and cloud infrastructures to solve complex data challenges, write efficient and scalable code, and implement distributed processing frameworks that deliver reliable, high-performance solutions. If you're a solution-oriented engineer who enjoys tackling technical challenges and working in a collaborative environment, this opportunity is for you. Required Skills Java Development: Strong hands-on experience building scalable, high-performance applications using modern Java frameworks. Big Data Processing: Deep technical knowledge and practical development experience with MapReduce frameworks. Cloud Development: Proven experience developing software within secure, complex cloud environments. Mission Platform Experience: Hands-on experience using the QTA platform or similar specialized data processing platforms. Preferred Skills Experience with additional distributed processing frameworks and cloud-native databases. Strong communication and collaboration skills with a team-first mindset and the ability to deliver clear, actionable technical solutions. A proactive approach to identifying system bottlenecks and contributing to architecture and performance improvements. Security Clearance Required: Active TS/SCI with Full Scope Polygraph (FSP).
Security Clearance Required: Active TS/SCI with Full Scope Polygraph (FSP) Develop powerful APIs, optimize backend SQL databases, and integrate modern AWS technologies while building mission-critical software solutions. In this role, you'll work across the full software development lifecycle (SDLC), using modern web development technologies and programming languages to build robust client-side and server-side applications. You'll design seamless integrations, develop intuitive user experiences, and transform complex technical requirements into scalable, high-impact solutions. Required Skills Core Programming: Strong software development experience using Java and JavaScript. Operating Environment: Proven experience developing and working in Linux environments. Full-Stack Development: Experience with the Software Development Lifecycle (SDLC), including front-end, back-end, client-side, and server-side development. Development Tools: Experience using Git for version control and SQL for database development and querying. Integration & Architecture: Experience with API development, system integrations, and UI/UX principles. Modern JavaScript Frameworks: Experience with or exposure to Angular, React.js, or Vue.js. Cloud Technologies: Familiarity with AWS services, Python, and Microsoft C# to support diverse application architectures. Experience Requirements Mid-Level 7+ years of experience with a technical degree, or 11+ years of experience without a technical degree. Senior Level 14+ years of experience with a technical degree, or 18+ years of experience without a technical degree. Principal Level 20+ years of experience with a technical degree, or 24+ years of experience without a technical degree. Preferred Skills Experience with MongoDB, Spring, and OSGi. Familiarity with Perl, Lua, and configuring or managing NGINX. Experience with automation or workflow acceleration frameworks such as Empower. Position Details Active TS/SCI with Full Scope Polygraph (FSP) is required. Positions are 100% onsite (link removed)> Most opportunities are located in the Maryland area, including Columbia, Annapolis, Annapolis Junction, and Fort Meade (link removed)> Due to security requirements, all work must be performed at the designated worksite. Remote work is not available. About the Opportunity This position supports advanced software engineering, artificial intelligence, and data-driven initiatives for U.S. Government programs. You'll join a highly technical environment focused on delivering innovative, mission-critical solutions while working alongside experienced engineers on complex and impactful projects.
08/08/2026
Security Clearance Required: Active TS/SCI with Full Scope Polygraph (FSP) Develop powerful APIs, optimize backend SQL databases, and integrate modern AWS technologies while building mission-critical software solutions. In this role, you'll work across the full software development lifecycle (SDLC), using modern web development technologies and programming languages to build robust client-side and server-side applications. You'll design seamless integrations, develop intuitive user experiences, and transform complex technical requirements into scalable, high-impact solutions. Required Skills Core Programming: Strong software development experience using Java and JavaScript. Operating Environment: Proven experience developing and working in Linux environments. Full-Stack Development: Experience with the Software Development Lifecycle (SDLC), including front-end, back-end, client-side, and server-side development. Development Tools: Experience using Git for version control and SQL for database development and querying. Integration & Architecture: Experience with API development, system integrations, and UI/UX principles. Modern JavaScript Frameworks: Experience with or exposure to Angular, React.js, or Vue.js. Cloud Technologies: Familiarity with AWS services, Python, and Microsoft C# to support diverse application architectures. Experience Requirements Mid-Level 7+ years of experience with a technical degree, or 11+ years of experience without a technical degree. Senior Level 14+ years of experience with a technical degree, or 18+ years of experience without a technical degree. Principal Level 20+ years of experience with a technical degree, or 24+ years of experience without a technical degree. Preferred Skills Experience with MongoDB, Spring, and OSGi. Familiarity with Perl, Lua, and configuring or managing NGINX. Experience with automation or workflow acceleration frameworks such as Empower. Position Details Active TS/SCI with Full Scope Polygraph (FSP) is required. Positions are 100% onsite (link removed)> Most opportunities are located in the Maryland area, including Columbia, Annapolis, Annapolis Junction, and Fort Meade (link removed)> Due to security requirements, all work must be performed at the designated worksite. Remote work is not available. About the Opportunity This position supports advanced software engineering, artificial intelligence, and data-driven initiatives for U.S. Government programs. You'll join a highly technical environment focused on delivering innovative, mission-critical solutions while working alongside experienced engineers on complex and impactful projects.
We are partnering with an early-stage, cutting-edge AI startup in New York City to hire a Full Stack AI Engineer with strong zero-to-one product-building experience. This is a fully onsite position. Candidates must currently live within commuting distance of New York City and be able to work from the companys Manhattan office five days per week. Please do not apply if you are seeking remote or hybrid work. About the Role Our client is looking for a highly hands-on engineer who can help build and launch AI-native products from the ground up. You will work closely with the founders to turn ideas into production-ready applications and help shape the companys technical foundation. The right candidate is comfortable working across frontend, backend, infrastructure, and AI systems. You should enjoy fast-moving startup environments, changing requirements, rapid iteration, and taking complete ownership of what you build. Responsibilities Build, test, launch, and improve full-stack products from zero to one Develop modern frontend applications using React, Next.js, or similar technologies Build backend services, APIs, databases, and third-party integrations Create AI-powered features using large language models and multimodal models Build AI agents that can use tools, complete workflows, and interact with external systems Develop retrieval-augmented generation, embeddings, vector search, and knowledge systems Integrate voice AI, speech-to-text, text-to-speech, or real-time conversational systems Implement structured outputs, tool calling, model routing, and human approval workflows Build evaluation, monitoring, and testing systems for AI performance Improve application reliability, scalability, security, latency, and AI inference costs Work directly with founders, users, and product stakeholders Help make product, architecture, and technology decisions Qualifications 4 or more years of professional software engineering experience Proven experience building and launching a product from zero to one Prior experience working at an early-stage startup Strong experience across frontend and backend development Strong skills in TypeScript, JavaScript, React, and Next.js Backend experience with Node.js, Python, FastAPI, Go, or similar technologies Experience with PostgreSQL, APIs, cloud infrastructure, and production deployments Hands-on experience integrating large language models into production applications Experience with AI agents, RAG, tool calling, embeddings, multimodal AI, or voice AI Strong product judgment and the ability to operate with limited direction Ability to move quickly while maintaining high engineering standards Must be actively hands-on and writing production code Preferred Experience OpenAI, Anthropic, Gemini, or open-source AI models Model Context Protocol and agent orchestration frameworks LangGraph, LlamaIndex, Vercel AI SDK, or similar tools Vector databases such as Pinecone, Qdrant, Weaviate, or pgvector Voice AI, WebSockets, WebRTC, or real-time streaming systems AI evaluations, observability, prompt injection protection, and model security Docker, AWS, Google Cloud, Azure, or serverless infrastructure Experience as an early, founding, or first engineering hire Ideal Candidate You are a builder who prefers creating new products over maintaining mature systems. You are comfortable wearing multiple hats, making decisions quickly, and turning incomplete ideas into products customers can use. You understand that strong AI products require more than connecting an application to a model API. You know how to build dependable workflows, evaluate output quality, manage latency and cost, and create safeguards around AI-generated actions. Candidates whose experience is exclusively with FAANG companies, large enterprises, or mature technology organizations will not be considered. FAANG experience is welcome when combined with meaningful early-stage startup and zero-to-one product experience. Location Requirement This position is onsite in Manhattan five days per week. Candidates must already live within a reasonable commuting distance of New York City. Remote, hybrid, relocation-dependent, and out-of-area candidates will not be considered.
08/08/2026
We are partnering with an early-stage, cutting-edge AI startup in New York City to hire a Full Stack AI Engineer with strong zero-to-one product-building experience. This is a fully onsite position. Candidates must currently live within commuting distance of New York City and be able to work from the companys Manhattan office five days per week. Please do not apply if you are seeking remote or hybrid work. About the Role Our client is looking for a highly hands-on engineer who can help build and launch AI-native products from the ground up. You will work closely with the founders to turn ideas into production-ready applications and help shape the companys technical foundation. The right candidate is comfortable working across frontend, backend, infrastructure, and AI systems. You should enjoy fast-moving startup environments, changing requirements, rapid iteration, and taking complete ownership of what you build. Responsibilities Build, test, launch, and improve full-stack products from zero to one Develop modern frontend applications using React, Next.js, or similar technologies Build backend services, APIs, databases, and third-party integrations Create AI-powered features using large language models and multimodal models Build AI agents that can use tools, complete workflows, and interact with external systems Develop retrieval-augmented generation, embeddings, vector search, and knowledge systems Integrate voice AI, speech-to-text, text-to-speech, or real-time conversational systems Implement structured outputs, tool calling, model routing, and human approval workflows Build evaluation, monitoring, and testing systems for AI performance Improve application reliability, scalability, security, latency, and AI inference costs Work directly with founders, users, and product stakeholders Help make product, architecture, and technology decisions Qualifications 4 or more years of professional software engineering experience Proven experience building and launching a product from zero to one Prior experience working at an early-stage startup Strong experience across frontend and backend development Strong skills in TypeScript, JavaScript, React, and Next.js Backend experience with Node.js, Python, FastAPI, Go, or similar technologies Experience with PostgreSQL, APIs, cloud infrastructure, and production deployments Hands-on experience integrating large language models into production applications Experience with AI agents, RAG, tool calling, embeddings, multimodal AI, or voice AI Strong product judgment and the ability to operate with limited direction Ability to move quickly while maintaining high engineering standards Must be actively hands-on and writing production code Preferred Experience OpenAI, Anthropic, Gemini, or open-source AI models Model Context Protocol and agent orchestration frameworks LangGraph, LlamaIndex, Vercel AI SDK, or similar tools Vector databases such as Pinecone, Qdrant, Weaviate, or pgvector Voice AI, WebSockets, WebRTC, or real-time streaming systems AI evaluations, observability, prompt injection protection, and model security Docker, AWS, Google Cloud, Azure, or serverless infrastructure Experience as an early, founding, or first engineering hire Ideal Candidate You are a builder who prefers creating new products over maintaining mature systems. You are comfortable wearing multiple hats, making decisions quickly, and turning incomplete ideas into products customers can use. You understand that strong AI products require more than connecting an application to a model API. You know how to build dependable workflows, evaluate output quality, manage latency and cost, and create safeguards around AI-generated actions. Candidates whose experience is exclusively with FAANG companies, large enterprises, or mature technology organizations will not be considered. FAANG experience is welcome when combined with meaningful early-stage startup and zero-to-one product experience. Location Requirement This position is onsite in Manhattan five days per week. Candidates must already live within a reasonable commuting distance of New York City. Remote, hybrid, relocation-dependent, and out-of-area candidates will not be considered.
We are partnering with an early-stage, cutting-edge AI startup in San Francisco to hire a Full Stack AI Engineer with strong zero-to-one product-building experience. This is a fully onsite position. Candidates must currently live in the San Francisco Bay Area and be able to work from the companys San Francisco office five days per week. Please do not apply if you are seeking remote or hybrid work. About the Role Our client is looking for a highly hands-on engineer who can help build and launch AI-native products from the ground up. You will work closely with the founders to turn ideas into production-ready applications and help shape the companys technical foundation. The right candidate is comfortable working across frontend, backend, infrastructure, and AI systems. You should enjoy fast-moving startup environments, unclear requirements, rapid iteration, and taking full ownership of what you build. Responsibilities Build, test, launch, and improve full-stack products from zero to one Develop modern frontend applications using React, Next.js, or similar technologies Build backend services, APIs, databases, and integrations Create AI-powered features using large language models and multimodal models Build AI agents that can use tools, complete workflows, and interact with external systems Develop retrieval-augmented generation, embeddings, vector search, and knowledge systems Integrate voice AI, speech-to-text, text-to-speech, or real-time conversational systems Implement model routing, structured outputs, tool calling, and human approval workflows Build evaluation, monitoring, and testing systems for AI performance Improve application speed, reliability, scalability, security, and AI inference costs Work directly with founders, users, and product stakeholders Help make product, architecture, and technology decisions Qualifications 4 or more years of professional software engineering experience Proven experience building and launching a product from zero to one Strong experience across both frontend and backend development Experience working at an early-stage startup Strong skills in TypeScript, JavaScript, React, and Next.js Backend experience with Node.js, Python, FastAPI, Go, or similar technologies Experience with PostgreSQL, APIs, cloud infrastructure, and production deployments Hands-on experience integrating large language models into production applications Experience with AI agents, RAG, tool calling, embeddings, or multimodal AI Strong product judgment and the ability to work with limited direction Ability to move quickly while maintaining high engineering standards Preferred Experience OpenAI, Anthropic, Gemini, or open-source AI models Model Context Protocol and agent orchestration frameworks LangGraph, LlamaIndex, Vercel AI SDK, or similar tools Vector databases such as Pinecone, Qdrant, Weaviate, or pgvector Voice AI, WebSockets, WebRTC, or real-time streaming systems AI evaluations, observability, prompt injection protection, and model security Docker, AWS, Google Cloud, Azure, or serverless infrastructure Experience as an early, founding, or first engineering hire Ideal Candidate You are a builder who prefers creating new products over maintaining mature systems. You are comfortable wearing multiple hats, making decisions quickly, and turning incomplete ideas into products that customers can use. You understand that strong AI products require more than connecting to a model API. You know how to build dependable workflows, evaluate output quality, manage latency and cost, and create safeguards around AI-generated actions. Location Requirement This role is onsite in San Francisco five days per week. Candidates must already live within a reasonable commuting distance of San Francisco. Remote, hybrid, relocation-dependent, and out-of-area candidates will not be considered.
08/08/2026
We are partnering with an early-stage, cutting-edge AI startup in San Francisco to hire a Full Stack AI Engineer with strong zero-to-one product-building experience. This is a fully onsite position. Candidates must currently live in the San Francisco Bay Area and be able to work from the companys San Francisco office five days per week. Please do not apply if you are seeking remote or hybrid work. About the Role Our client is looking for a highly hands-on engineer who can help build and launch AI-native products from the ground up. You will work closely with the founders to turn ideas into production-ready applications and help shape the companys technical foundation. The right candidate is comfortable working across frontend, backend, infrastructure, and AI systems. You should enjoy fast-moving startup environments, unclear requirements, rapid iteration, and taking full ownership of what you build. Responsibilities Build, test, launch, and improve full-stack products from zero to one Develop modern frontend applications using React, Next.js, or similar technologies Build backend services, APIs, databases, and integrations Create AI-powered features using large language models and multimodal models Build AI agents that can use tools, complete workflows, and interact with external systems Develop retrieval-augmented generation, embeddings, vector search, and knowledge systems Integrate voice AI, speech-to-text, text-to-speech, or real-time conversational systems Implement model routing, structured outputs, tool calling, and human approval workflows Build evaluation, monitoring, and testing systems for AI performance Improve application speed, reliability, scalability, security, and AI inference costs Work directly with founders, users, and product stakeholders Help make product, architecture, and technology decisions Qualifications 4 or more years of professional software engineering experience Proven experience building and launching a product from zero to one Strong experience across both frontend and backend development Experience working at an early-stage startup Strong skills in TypeScript, JavaScript, React, and Next.js Backend experience with Node.js, Python, FastAPI, Go, or similar technologies Experience with PostgreSQL, APIs, cloud infrastructure, and production deployments Hands-on experience integrating large language models into production applications Experience with AI agents, RAG, tool calling, embeddings, or multimodal AI Strong product judgment and the ability to work with limited direction Ability to move quickly while maintaining high engineering standards Preferred Experience OpenAI, Anthropic, Gemini, or open-source AI models Model Context Protocol and agent orchestration frameworks LangGraph, LlamaIndex, Vercel AI SDK, or similar tools Vector databases such as Pinecone, Qdrant, Weaviate, or pgvector Voice AI, WebSockets, WebRTC, or real-time streaming systems AI evaluations, observability, prompt injection protection, and model security Docker, AWS, Google Cloud, Azure, or serverless infrastructure Experience as an early, founding, or first engineering hire Ideal Candidate You are a builder who prefers creating new products over maintaining mature systems. You are comfortable wearing multiple hats, making decisions quickly, and turning incomplete ideas into products that customers can use. You understand that strong AI products require more than connecting to a model API. You know how to build dependable workflows, evaluate output quality, manage latency and cost, and create safeguards around AI-generated actions. Location Requirement This role is onsite in San Francisco five days per week. Candidates must already live within a reasonable commuting distance of San Francisco. Remote, hybrid, relocation-dependent, and out-of-area candidates will not be considered.
MANTECH seeks a motivated, career and customer-oriented SIMULATION DEVELOPER to join our team in QUANTICO, VA. Join a high-impact team supporting the Marine Corps Warfighting Lab's transition to digital wargaming. As a Simulation Developer, you will serve as a trusted advisor to our customers, ensuring the technical architecture of wargames is robust and reliable while directly shaping the tools used to prepare Marines for the future fight. Responsibilities include but are not limited to: Designs, develops, and sustains simulation models and environments using a variety of programming languages, tools, and data sources Integrates models and simulations into larger system architectures and supports Marine Corps Warfighting Laboratory (MCWL) Wargaming Division efforts for interoperability testing and model orchestration Collaborates with engineers, analysts, and operational subject matter experts to enhance model fidelity and ensure simulation accuracy Implements new features, conducts model testing and validation, and troubleshoots issues across evolving simulation platforms Leads and supports planning, coordination, and documentation activities for simulation projects, including data collection, stakeholder alignment, and capability tracking Minimum Qualifications: Bachelor's degree in Computer Science, Software Engineering, Game Development, or a related technical field Minimum of 2 years of software development experience focused on simulation or game-based environments. A total of 12 years' experience without a degree. Experience in programming languages such as C++, C#, Python, or Java Experience with simulation platforms or engines such as AFSIM, NGTS, OneSAF, Unity, Unreal Engine, Simio, or Arena Familiarity with version control systems and collaborative software development workflows Preferred Qualifications: Understanding of modeling and simulation principles in military or operational contexts Familiarity with mission engineering, wargaming, campaign analysis, or Naval Capabilities Integration Process (NCIP), and associated military systems/processes Knowledge of 3D graphics, physics engines, and database management systems (e.g., SQL) Experience applying Agile or Scrum development methodologies in simulation projects Strong communication, analytical, and cross-functional collaboration skills Clearance Requirements: Must possess a current/active TS/SCI security clearance. Physical Requirements: Must be able and willing to perform occasional manual labor and warehouse duties, with the ability to lift up to 50 pounds. Must be able to remain in a stationary position 50% of the time. Needs to occasionally move about inside the office to access file cabinets, office machinery, etc. Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations
08/08/2026
Full time
MANTECH seeks a motivated, career and customer-oriented SIMULATION DEVELOPER to join our team in QUANTICO, VA. Join a high-impact team supporting the Marine Corps Warfighting Lab's transition to digital wargaming. As a Simulation Developer, you will serve as a trusted advisor to our customers, ensuring the technical architecture of wargames is robust and reliable while directly shaping the tools used to prepare Marines for the future fight. Responsibilities include but are not limited to: Designs, develops, and sustains simulation models and environments using a variety of programming languages, tools, and data sources Integrates models and simulations into larger system architectures and supports Marine Corps Warfighting Laboratory (MCWL) Wargaming Division efforts for interoperability testing and model orchestration Collaborates with engineers, analysts, and operational subject matter experts to enhance model fidelity and ensure simulation accuracy Implements new features, conducts model testing and validation, and troubleshoots issues across evolving simulation platforms Leads and supports planning, coordination, and documentation activities for simulation projects, including data collection, stakeholder alignment, and capability tracking Minimum Qualifications: Bachelor's degree in Computer Science, Software Engineering, Game Development, or a related technical field Minimum of 2 years of software development experience focused on simulation or game-based environments. A total of 12 years' experience without a degree. Experience in programming languages such as C++, C#, Python, or Java Experience with simulation platforms or engines such as AFSIM, NGTS, OneSAF, Unity, Unreal Engine, Simio, or Arena Familiarity with version control systems and collaborative software development workflows Preferred Qualifications: Understanding of modeling and simulation principles in military or operational contexts Familiarity with mission engineering, wargaming, campaign analysis, or Naval Capabilities Integration Process (NCIP), and associated military systems/processes Knowledge of 3D graphics, physics engines, and database management systems (e.g., SQL) Experience applying Agile or Scrum development methodologies in simulation projects Strong communication, analytical, and cross-functional collaboration skills Clearance Requirements: Must possess a current/active TS/SCI security clearance. Physical Requirements: Must be able and willing to perform occasional manual labor and warehouse duties, with the ability to lift up to 50 pounds. Must be able to remain in a stationary position 50% of the time. Needs to occasionally move about inside the office to access file cabinets, office machinery, etc. Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations
Date Posted: 2026-07-27 Country: United States of America Location: US-CO-AURORA-S E Centretech Pkwy BLDG S75 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: TS/SCI - Current Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. Raytheon's Air & Space Defense Systems (ASDS) strategic business unit (SBU) specializes in multi-domain integrated air and missile defense, advanced sensors, space-based systems, hypersonics, effectors and cyber solutions. Focused on program execution, business growth and the highest level of customer satisfaction, the ASDS team provides customers with unmatched capabilities of detection and sensing, command and control, and air-to-air, air-to-surface, and surface-to-air munitions to accomplish air, space and missile defense missions. Within ASDS, Space Intelligence, Surveillance & Reconnaissance is our Sub-SBU that delivers information superiority from space, multi-mission automation and orchestration, multiple intelligence (Multi-INT) and resilient operations, secure processing, and data management. This position is an onsite role in Aurora, CO What You Will Do Design, develop, test, deliver, and maintain software for satellite ground systems. Work with talented teams of engineers, architects, and leaders in an Agile environment. What You Will Learn A breadth of advanced software technologies and techniques including multi-tiered architectures, AWS web services, and microservice software design Modern DevSecOps and Continuous Integration/Continuous Delivery techniques Satellite ground system technologies including command & telemetry, flight dynamics, planning and scheduling, and spacecraft operations Qualifications You Must Have Typically requires a Bachelor's degree in Science, Technology, Engineering or Mathematics (STEM) and 5 years of relevant software engineering experience Experience developing software using Java and C++ Red Hat 8 Linux OS and Windows 2019 OS experience or similar experience An active and transferable U.S. government issued TS/SCI security clearance is required prior to start date. An active and transferable U.S. government issued Top Secret security clearance that can be crossed over to a TS/SCI security clearance is also acceptable. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Experience with containerization using Docker, Kubernetes, and Helm Experience developing software using Python Experience developing software using ActiveMQ Experience developing software using WineHQ Experience with the Raytheon Eclipse Command & Telemetry Product Line What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value, Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation eligible. Relocation assistance is available for this role. Learn More & Apply Now! Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Location Information: Aurora, CO: As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
08/08/2026
Full time
Date Posted: 2026-07-27 Country: United States of America Location: US-CO-AURORA-S E Centretech Pkwy BLDG S75 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: TS/SCI - Current Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. Raytheon's Air & Space Defense Systems (ASDS) strategic business unit (SBU) specializes in multi-domain integrated air and missile defense, advanced sensors, space-based systems, hypersonics, effectors and cyber solutions. Focused on program execution, business growth and the highest level of customer satisfaction, the ASDS team provides customers with unmatched capabilities of detection and sensing, command and control, and air-to-air, air-to-surface, and surface-to-air munitions to accomplish air, space and missile defense missions. Within ASDS, Space Intelligence, Surveillance & Reconnaissance is our Sub-SBU that delivers information superiority from space, multi-mission automation and orchestration, multiple intelligence (Multi-INT) and resilient operations, secure processing, and data management. This position is an onsite role in Aurora, CO What You Will Do Design, develop, test, deliver, and maintain software for satellite ground systems. Work with talented teams of engineers, architects, and leaders in an Agile environment. What You Will Learn A breadth of advanced software technologies and techniques including multi-tiered architectures, AWS web services, and microservice software design Modern DevSecOps and Continuous Integration/Continuous Delivery techniques Satellite ground system technologies including command & telemetry, flight dynamics, planning and scheduling, and spacecraft operations Qualifications You Must Have Typically requires a Bachelor's degree in Science, Technology, Engineering or Mathematics (STEM) and 5 years of relevant software engineering experience Experience developing software using Java and C++ Red Hat 8 Linux OS and Windows 2019 OS experience or similar experience An active and transferable U.S. government issued TS/SCI security clearance is required prior to start date. An active and transferable U.S. government issued Top Secret security clearance that can be crossed over to a TS/SCI security clearance is also acceptable. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Experience with containerization using Docker, Kubernetes, and Helm Experience developing software using Python Experience developing software using ActiveMQ Experience developing software using WineHQ Experience with the Raytheon Eclipse Command & Telemetry Product Line What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value, Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation eligible. Relocation assistance is available for this role. Learn More & Apply Now! Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Location Information: Aurora, CO: As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
TriNet is a leading provider of comprehensive human resources solutions for small to midsize businesses (SMBs). We enhance business productivity by enabling our clients to outsource their HR function to one strategic partner and allowing them to focus on operating and growing their core businesses. Our full-service HR solutions include features such as payroll processing, human capital consulting, employment law compliance and employee benefits, including health insurance, retirement plans and workers' compensation insurance. TriNet has a nationwide presence and an experienced executive team. Our stock is publicly traded on the NYSE under the ticker symbol TNET. If you're passionate about innovation and making an impact on the large SMB market, come join us as we power our clients' business success with extraordinary HR. Don't meet every single requirement? Studies have shown that many potential applicants discourage themselves from applying to jobs unless they meet every single requirement. TriNet always strives to hire the most qualified candidate for a particular role, ensuring we deliver outstanding results for our small and medium-size customers. So, if you're excited about this role but your past experience doesn't align perfectly with every single qualification in the job description, nobody's perfect - and we encourage you to apply. You may just be the right candidate for this or other roles. A Brief Overview As a Staff MLOps Engineer, you will play a pivotal role in designing, implementing, and optimizing machine learning operations within our infrastructure. You will collaborate closely with data scientists, software engineers, and other cross-functional teams to ensure the seamless deployment and maintenance of machine learning models. What you will do Develop, manage, and scale the infrastructure required for efficient and reliable machine learning model deployment, including orchestration, version control, and monitoring systems. Design and implement automation pipelines for model training, testing, validation, and deployment, integrating CI/CD practices to ensure smooth and consistent delivery of ML models. Deploy machine learning models into production environments, establishing monitoring and alerting systems to track model performance, health, and data drift. Proactively troubleshoot issues and optimize model efficiency. Collaborate with data scientists, software engineers, and DevOps teams to streamline the integration of machine learning solutions into existing software systems and workflows. Ensure adherence to security protocols and compliance standards throughout the machine learning lifecycle, implementing best practices for data privacy and model governance. Stay updated with the latest advancements in MLOps tools, technologies, and methodologies, and propose enhancements to existing processes to improve efficiency and reliability. Solve complex and ambitious problems by crafting elegant and impactful solutions. ontributes to technical innovations along with defining coding standards entors and support other members of the software development team and contribute to the software development best practices. Performs other duties as assigned Complies with all policies and standards Education Qualifications Bachelor's Degree in Computer Science/Engineering or equivalent experience preferred Experience Qualifications Typically 8+ years Proven experience working in a similar MLOps or DevOps role within a technical engineering environment. required Typically 8+ years Experience with programming languages such as Python, Java, or similar, along with experience with relevant ML frameworks (TensorFlow, PyTorch, etc.). required Experience with CI/CD pipelines, version control systems (Git), and automation tools. Skills and Abilities Knowledge of end-to-end SDLC process in EDW, Data Lake, BI & MLOps projects Dimensional Modeling and Data warehouse, ODS concepts, such as star schemas, snowflakes, and normalized data models Strong knowledge of containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP). Ability to coordinate effectively with on-site and offshore resources through Managed Service Providers & IT Teams Knowledge of Reporting tools like Tableau is desired Excellent verbal and written communication skills Strong Problem-solving and organizational skills and ability to work in a fast-paced, collaborative environment. Solid understanding of machine learning concepts, model development, and deployment strategies. Travel Requirements Minimal Work Environment Work in clean, pleasant, and comfortable office or home setting. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable persons with disabilities to perform the essential functions. The preferred location for this role is Atlanta, GA, and the salary range for this location is $125,000.00 to $275,000.00. All qualified external applicants will be considered for an in-office role, based in Atlanta. All qualified internal candidates are encouraged to apply and consider relocation to Atlanta and may be considered for remote hire at the company's discretion. The candidate's final salary offer will be based on the candidate's skills, education, work location and experience. A candidate's compensation may also include bonuses consistent with TriNet's corporate bonus plan. Additionally, subject to applicable eligibility requirements, TriNet offers permanent full-time employees a variety of benefits including medical, dental, and vision plans, life and disability insurance, a 401(K) savings plan, an employee stock purchase plan, eleven (11) Company observed holidays, PTO and a comprehensive leave program. Please click the following link for detailed information about our benefits offerings: Please Note: TriNet reserves the right to change or modify job duties and assignments at any time. The above job description is not all encompassing. Position functions and qualifications may vary depending on business necessity. TriNet is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact to request such an accommodation.
08/07/2026
Full time
TriNet is a leading provider of comprehensive human resources solutions for small to midsize businesses (SMBs). We enhance business productivity by enabling our clients to outsource their HR function to one strategic partner and allowing them to focus on operating and growing their core businesses. Our full-service HR solutions include features such as payroll processing, human capital consulting, employment law compliance and employee benefits, including health insurance, retirement plans and workers' compensation insurance. TriNet has a nationwide presence and an experienced executive team. Our stock is publicly traded on the NYSE under the ticker symbol TNET. If you're passionate about innovation and making an impact on the large SMB market, come join us as we power our clients' business success with extraordinary HR. Don't meet every single requirement? Studies have shown that many potential applicants discourage themselves from applying to jobs unless they meet every single requirement. TriNet always strives to hire the most qualified candidate for a particular role, ensuring we deliver outstanding results for our small and medium-size customers. So, if you're excited about this role but your past experience doesn't align perfectly with every single qualification in the job description, nobody's perfect - and we encourage you to apply. You may just be the right candidate for this or other roles. A Brief Overview As a Staff MLOps Engineer, you will play a pivotal role in designing, implementing, and optimizing machine learning operations within our infrastructure. You will collaborate closely with data scientists, software engineers, and other cross-functional teams to ensure the seamless deployment and maintenance of machine learning models. What you will do Develop, manage, and scale the infrastructure required for efficient and reliable machine learning model deployment, including orchestration, version control, and monitoring systems. Design and implement automation pipelines for model training, testing, validation, and deployment, integrating CI/CD practices to ensure smooth and consistent delivery of ML models. Deploy machine learning models into production environments, establishing monitoring and alerting systems to track model performance, health, and data drift. Proactively troubleshoot issues and optimize model efficiency. Collaborate with data scientists, software engineers, and DevOps teams to streamline the integration of machine learning solutions into existing software systems and workflows. Ensure adherence to security protocols and compliance standards throughout the machine learning lifecycle, implementing best practices for data privacy and model governance. Stay updated with the latest advancements in MLOps tools, technologies, and methodologies, and propose enhancements to existing processes to improve efficiency and reliability. Solve complex and ambitious problems by crafting elegant and impactful solutions. ontributes to technical innovations along with defining coding standards entors and support other members of the software development team and contribute to the software development best practices. Performs other duties as assigned Complies with all policies and standards Education Qualifications Bachelor's Degree in Computer Science/Engineering or equivalent experience preferred Experience Qualifications Typically 8+ years Proven experience working in a similar MLOps or DevOps role within a technical engineering environment. required Typically 8+ years Experience with programming languages such as Python, Java, or similar, along with experience with relevant ML frameworks (TensorFlow, PyTorch, etc.). required Experience with CI/CD pipelines, version control systems (Git), and automation tools. Skills and Abilities Knowledge of end-to-end SDLC process in EDW, Data Lake, BI & MLOps projects Dimensional Modeling and Data warehouse, ODS concepts, such as star schemas, snowflakes, and normalized data models Strong knowledge of containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP). Ability to coordinate effectively with on-site and offshore resources through Managed Service Providers & IT Teams Knowledge of Reporting tools like Tableau is desired Excellent verbal and written communication skills Strong Problem-solving and organizational skills and ability to work in a fast-paced, collaborative environment. Solid understanding of machine learning concepts, model development, and deployment strategies. Travel Requirements Minimal Work Environment Work in clean, pleasant, and comfortable office or home setting. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable persons with disabilities to perform the essential functions. The preferred location for this role is Atlanta, GA, and the salary range for this location is $125,000.00 to $275,000.00. All qualified external applicants will be considered for an in-office role, based in Atlanta. All qualified internal candidates are encouraged to apply and consider relocation to Atlanta and may be considered for remote hire at the company's discretion. The candidate's final salary offer will be based on the candidate's skills, education, work location and experience. A candidate's compensation may also include bonuses consistent with TriNet's corporate bonus plan. Additionally, subject to applicable eligibility requirements, TriNet offers permanent full-time employees a variety of benefits including medical, dental, and vision plans, life and disability insurance, a 401(K) savings plan, an employee stock purchase plan, eleven (11) Company observed holidays, PTO and a comprehensive leave program. Please click the following link for detailed information about our benefits offerings: Please Note: TriNet reserves the right to change or modify job duties and assignments at any time. The above job description is not all encompassing. Position functions and qualifications may vary depending on business necessity. TriNet is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact to request such an accommodation.
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is seeking Associate Systems Engineers to join one of our St. Louis, MO (Berkeley, Hazelwood, Saint Charles) based teams. Our St. Louis based teams are responsible for development, production, trainers, and sustainment for some of the most advanced defense and weapon systems in the world - including, but not limited to: Fighters/Tactical (F-47, F-15, F/A-18, F-22, & T-7A), Autonomous Systems (MQ-25), Precision Engagement Systems (JDAM, SDB, etc ), and other advanced proprietary systems (Phantom Works) and platforms (AH-64, P-8, C-17, etc.) . Our teams are currently hiring a broad range of A ssociate Systems Engineers in the following disciplines: Systems Architecture, Requirements and Interfaces Definition Systems Integration, Verification, & Validation Reliability, Maintainability, & System Health Human Factors & Ergonomics Operations / Systems Analysis Flight Crew Operations Integrations Crew Station Design & Integration Position Responsibilities: Contribute to systems engineering efforts on new development, production, and/or sustainment programs, ensuring alignment with program goals and objectives Work with teams across disciplines to write and keep system requirements, interfaces, verification, and test criteria up to date Perform analyses for affordability, safety, reliability, maintainability, testability, human factors, survivability, vulnerability, security, and product assurance Support program design reviews and technical assessments Track and update requirements, risks/issues/opportunities, tools, and technology readiness Help adopt and use modern systems engineering methods (for example, Model-Based Systems Engineering) This position is expected to be 100% onsite (no hybrid or remote options). The selected candidate will be required to work onsite at one of the listed location options. Travel may be required ; Domestically and/or Internationally depending on business needs. This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required Special Program Access or other Government Access Requirements may be required for these positions Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 2 or more years' related engineering experience Preferred Qualifications (Desired Skills/Experience): Active U.S. Security Clearance Prior Systems Engineering experience ( i.e. system design, functional decomposition, requirements development, analysis, verification, and validation) Experience with Aircraft, Mission Systems and/or Weapon System development Experience with verification and/or certification efforts (including supporting military safety critical and/or mission critical system hardware and software certification) Experience collaborating with multi-discipline teams to support technical program reviews Experience with Model Based Systems Engineering (MBSE) tools, such as Cameo, MSOSA or similar Systems Modeling Language ( SysML )-compatible tool for systems architecture and model development Technical understanding and experience with any of the following: DOORS, Cadece / Pspice , Python, C#, C++, JavaScript, Visual Studio, Subversion, Azure DevOps, Git, CAFTA, ReliaSoft or FaultTree + Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: Level 2: $ 91,800 - $124,200 The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Applications for this position will be accepted until Aug. 17, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
08/07/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is seeking Associate Systems Engineers to join one of our St. Louis, MO (Berkeley, Hazelwood, Saint Charles) based teams. Our St. Louis based teams are responsible for development, production, trainers, and sustainment for some of the most advanced defense and weapon systems in the world - including, but not limited to: Fighters/Tactical (F-47, F-15, F/A-18, F-22, & T-7A), Autonomous Systems (MQ-25), Precision Engagement Systems (JDAM, SDB, etc ), and other advanced proprietary systems (Phantom Works) and platforms (AH-64, P-8, C-17, etc.) . Our teams are currently hiring a broad range of A ssociate Systems Engineers in the following disciplines: Systems Architecture, Requirements and Interfaces Definition Systems Integration, Verification, & Validation Reliability, Maintainability, & System Health Human Factors & Ergonomics Operations / Systems Analysis Flight Crew Operations Integrations Crew Station Design & Integration Position Responsibilities: Contribute to systems engineering efforts on new development, production, and/or sustainment programs, ensuring alignment with program goals and objectives Work with teams across disciplines to write and keep system requirements, interfaces, verification, and test criteria up to date Perform analyses for affordability, safety, reliability, maintainability, testability, human factors, survivability, vulnerability, security, and product assurance Support program design reviews and technical assessments Track and update requirements, risks/issues/opportunities, tools, and technology readiness Help adopt and use modern systems engineering methods (for example, Model-Based Systems Engineering) This position is expected to be 100% onsite (no hybrid or remote options). The selected candidate will be required to work onsite at one of the listed location options. Travel may be required ; Domestically and/or Internationally depending on business needs. This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required Special Program Access or other Government Access Requirements may be required for these positions Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 2 or more years' related engineering experience Preferred Qualifications (Desired Skills/Experience): Active U.S. Security Clearance Prior Systems Engineering experience ( i.e. system design, functional decomposition, requirements development, analysis, verification, and validation) Experience with Aircraft, Mission Systems and/or Weapon System development Experience with verification and/or certification efforts (including supporting military safety critical and/or mission critical system hardware and software certification) Experience collaborating with multi-discipline teams to support technical program reviews Experience with Model Based Systems Engineering (MBSE) tools, such as Cameo, MSOSA or similar Systems Modeling Language ( SysML )-compatible tool for systems architecture and model development Technical understanding and experience with any of the following: DOORS, Cadece / Pspice , Python, C#, C++, JavaScript, Visual Studio, Subversion, Azure DevOps, Git, CAFTA, ReliaSoft or FaultTree + Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: Level 2: $ 91,800 - $124,200 The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Applications for this position will be accepted until Aug. 17, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
About the Company: Airgain simplifies wireless connectivity across a diverse set of devices and markets, from solving complex connectivity issues to speeding time to market to enhancing wireless signals. Our products are offered in three distinct sub-brands: Airgain Embedded, Airgain Integrated and Airgain Antenna+. Our mission is to connect the world through optimized integrated wireless solutions. Airgain's expertise in custom cellular and antenna system design pairs with our focus on high-growth technologies and our dedication to simplify the growing complexity of wireless. With a broad portfolio of products across the value chain, from embedded components to fully integrated products, we are equipped to solve critical connectivity needs in both the design process and the operating environment across the enterprise, automotive, and consumer markets. Airgain is headquartered in San Diego, California, and maintains design and test centers in the U.S., U.K., and China. At Airgain, "We Simplify Wireless" is not only our tagline, but our creed and passion. A fast-moving technology company, Airgain sets the very pulse of the wireless connectivity industry, giving our unwavering focus on bringing innovative solutions to market, providing new pathways, insights and products that solve complex RF engineering problems. Our team is comprised of the industry's most talented, driven, experienced and entrepreneurial innovators and leaders in wireless connectivity. And if that is something that resonates, well then we would love an opportunity to speak with you. About the Role: We are seeking a highly skilled and detail-oriented Wi-Fi Test Engineer to join our team. As a Wi-Fi Test Engineer, you will be responsible for the tasks: Designing, developing, executing, and reporting results from comprehensive test plans and test cases to ensure the quality and reliability of our leading-edge Wi-Fi-enabled products. Will work closely with cross-functional teams, including hardware and software engineers, to identify and resolve Wi-Fi-related issues, optimize performance, and ensure compliance with industry standards. Have a strong background in wireless communication protocols, hands-on experience with Wi-Fi testing tools, strong customer-facing communication skills, and a relentless passion for delivering exceptional Wi-Fi experiences to end-users. Essential Function: Collaborate with cross-functional teams to develop test plans including strategies, methodologies, and best practices for Wi-Fi testing. Join our Airgain team for discussion and negation with customers for approval on each project's test plan, schedule, technical approaches as well as resource (HW/SW) support from customers. Develop, execute, and create reports from test plans, test cases, and test scripts to validate the functionality, performance, and interoperability of Wi-Fi-enabled products. Perform system-level testing of Wi-Fi features, including network connectivity, security, roaming, and throughput, to identify and resolve issues. Collaborate with hardware and software engineers (Airgain or customer sides) to define Wi-Fi test requirements and provide feedback on design improvements. Set up and maintain test environments, including Wi-Fi networks, routers, and test equipment as well the maintenance of the test house environment Conduct Wi-Fi signal analysis and troubleshooting using specialized tools and equipment. Keep up to date with the latest Wi-Fi technologies, DUT and equipment, standards, and industry trends to drive continuous improvement in testing processes. Provide clear and concise reports on test results, including performance metrics and recommendations for optimization to Sale and Customer review and approval. Other duties as assigned. Requirements/Qualifications: Bachelor's or Master's degree in Electrical Engineering, Computer Science, related field, or equivalent experience. 2+ years related experience in Solid understanding of wireless communication protocols, especially Wi-Fi (802.11a/b/g/n/ac/ax). Strong experience in Wi-Fi testing over-the-air tests, including familiarity with test methodologies, tools, and frameworks Network experience in IP address (v4/v6), subnet mask, routing , etc. Knowledge of TCP/IP networking principles, configurations, and protocols - and the ability to perform these tasks. Experience with Wi-Fi testing in the context of consumer electronics or networking devices. Knowledge of regulatory compliance requirements (such as FCC, CTIA, 3GPP, etc.) for Wi-Fi products. Familiarity with Wi-Fi certification processes and testing requirements. Understanding of RF (Radio Frequency) principles and antenna design considerations. Proficiency in using Wi-Fi testing tools such as desk and laptop computers, spectrum analyzers, traffic generators, and network analyzers. Excellent problem-solving and debugging skills, with the ability to analyze complex Wi-Fi-related issues. Familiarity with security protocols and encryption standards used in Wi-Fi networks. Experience with scripting or programming languages (e.g., Python, Java, Linux) for test automation and CPE. Self-motivated and proactive in staying up to date with the latest Wi-Fi technologies and industry trends. Understanding or willing to learn RF system and Wi-Fi antennas and their TRP/TIS related to Wi-Fi over-the-air test is a plus. Understanding or willing to learn LTE / 5G FR1 / Bluetooth (BTLE) related to Wi-Fi over-the-air test is a plus. Strong communication and collaboration skills, with the ability to work effectively in a team environment. Attention to detail and a commitment to delivering high-quality results. Proficiency in Microsoft tools required Excellent written, verbal and presentation skills Excellent organizational and time-management skills, with the ability to prioritize multiple tasks while meeting strict deadlines Benefits available to Regular Full Time Employees: Medical/Dental/Vision 401K Match ESPP Life & Disability Insurance Vacation and Sick Leave Flexible hours Compensation: The US base salary range for this full-time position is $34/hr to $40/hr + annual bonus. Our salary ranges are determined by a number of factors, including but not limited to the role, location, job-related skills, relevant education, experience and training. The range displayed on each job posting reflects the target range for new hire base salary for the position across all US locations and varies by the location of the position. Our Talent team member can share more about our salary ranges and other benefits, which are not included in the posted base salary range. Compensation details: 34-40 Hourly Wage PI6b2276a6-
08/07/2026
Full time
About the Company: Airgain simplifies wireless connectivity across a diverse set of devices and markets, from solving complex connectivity issues to speeding time to market to enhancing wireless signals. Our products are offered in three distinct sub-brands: Airgain Embedded, Airgain Integrated and Airgain Antenna+. Our mission is to connect the world through optimized integrated wireless solutions. Airgain's expertise in custom cellular and antenna system design pairs with our focus on high-growth technologies and our dedication to simplify the growing complexity of wireless. With a broad portfolio of products across the value chain, from embedded components to fully integrated products, we are equipped to solve critical connectivity needs in both the design process and the operating environment across the enterprise, automotive, and consumer markets. Airgain is headquartered in San Diego, California, and maintains design and test centers in the U.S., U.K., and China. At Airgain, "We Simplify Wireless" is not only our tagline, but our creed and passion. A fast-moving technology company, Airgain sets the very pulse of the wireless connectivity industry, giving our unwavering focus on bringing innovative solutions to market, providing new pathways, insights and products that solve complex RF engineering problems. Our team is comprised of the industry's most talented, driven, experienced and entrepreneurial innovators and leaders in wireless connectivity. And if that is something that resonates, well then we would love an opportunity to speak with you. About the Role: We are seeking a highly skilled and detail-oriented Wi-Fi Test Engineer to join our team. As a Wi-Fi Test Engineer, you will be responsible for the tasks: Designing, developing, executing, and reporting results from comprehensive test plans and test cases to ensure the quality and reliability of our leading-edge Wi-Fi-enabled products. Will work closely with cross-functional teams, including hardware and software engineers, to identify and resolve Wi-Fi-related issues, optimize performance, and ensure compliance with industry standards. Have a strong background in wireless communication protocols, hands-on experience with Wi-Fi testing tools, strong customer-facing communication skills, and a relentless passion for delivering exceptional Wi-Fi experiences to end-users. Essential Function: Collaborate with cross-functional teams to develop test plans including strategies, methodologies, and best practices for Wi-Fi testing. Join our Airgain team for discussion and negation with customers for approval on each project's test plan, schedule, technical approaches as well as resource (HW/SW) support from customers. Develop, execute, and create reports from test plans, test cases, and test scripts to validate the functionality, performance, and interoperability of Wi-Fi-enabled products. Perform system-level testing of Wi-Fi features, including network connectivity, security, roaming, and throughput, to identify and resolve issues. Collaborate with hardware and software engineers (Airgain or customer sides) to define Wi-Fi test requirements and provide feedback on design improvements. Set up and maintain test environments, including Wi-Fi networks, routers, and test equipment as well the maintenance of the test house environment Conduct Wi-Fi signal analysis and troubleshooting using specialized tools and equipment. Keep up to date with the latest Wi-Fi technologies, DUT and equipment, standards, and industry trends to drive continuous improvement in testing processes. Provide clear and concise reports on test results, including performance metrics and recommendations for optimization to Sale and Customer review and approval. Other duties as assigned. Requirements/Qualifications: Bachelor's or Master's degree in Electrical Engineering, Computer Science, related field, or equivalent experience. 2+ years related experience in Solid understanding of wireless communication protocols, especially Wi-Fi (802.11a/b/g/n/ac/ax). Strong experience in Wi-Fi testing over-the-air tests, including familiarity with test methodologies, tools, and frameworks Network experience in IP address (v4/v6), subnet mask, routing , etc. Knowledge of TCP/IP networking principles, configurations, and protocols - and the ability to perform these tasks. Experience with Wi-Fi testing in the context of consumer electronics or networking devices. Knowledge of regulatory compliance requirements (such as FCC, CTIA, 3GPP, etc.) for Wi-Fi products. Familiarity with Wi-Fi certification processes and testing requirements. Understanding of RF (Radio Frequency) principles and antenna design considerations. Proficiency in using Wi-Fi testing tools such as desk and laptop computers, spectrum analyzers, traffic generators, and network analyzers. Excellent problem-solving and debugging skills, with the ability to analyze complex Wi-Fi-related issues. Familiarity with security protocols and encryption standards used in Wi-Fi networks. Experience with scripting or programming languages (e.g., Python, Java, Linux) for test automation and CPE. Self-motivated and proactive in staying up to date with the latest Wi-Fi technologies and industry trends. Understanding or willing to learn RF system and Wi-Fi antennas and their TRP/TIS related to Wi-Fi over-the-air test is a plus. Understanding or willing to learn LTE / 5G FR1 / Bluetooth (BTLE) related to Wi-Fi over-the-air test is a plus. Strong communication and collaboration skills, with the ability to work effectively in a team environment. Attention to detail and a commitment to delivering high-quality results. Proficiency in Microsoft tools required Excellent written, verbal and presentation skills Excellent organizational and time-management skills, with the ability to prioritize multiple tasks while meeting strict deadlines Benefits available to Regular Full Time Employees: Medical/Dental/Vision 401K Match ESPP Life & Disability Insurance Vacation and Sick Leave Flexible hours Compensation: The US base salary range for this full-time position is $34/hr to $40/hr + annual bonus. Our salary ranges are determined by a number of factors, including but not limited to the role, location, job-related skills, relevant education, experience and training. The range displayed on each job posting reflects the target range for new hire base salary for the position across all US locations and varies by the location of the position. Our Talent team member can share more about our salary ranges and other benefits, which are not included in the posted base salary range. Compensation details: 34-40 Hourly Wage PI6b2276a6-
Date Posted: 2026-07-27 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedom and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Hardware in the Loop (HWIL) Department in Tucson, AZ is a multi-discipline organization responsible for designing, building and integrating state of the art testing environments (flight simulators for missiles), as the last step before flight test. On our team, you will work with weapon system designers to understand requirements, design solutions, integrate, and deploy the systems to help support tactical software development, testing, and delivery for missiles to the warfighter. This position is within the Effectors Center of the HWIL organization, and is an onsite role located in Tucson, AZ What You Will Do Collaborate in a multi-disciplinary team to develop software to control Hardware-In-the-Loop (HWIL) facilities (flight simulators for missiles). Determines end user needs by analyzing system capabilities to resolve problems on program intent, output requirements and input data acquisition. Ensures hardware and software standards are met. Design and implement build procedures that are used to support hardware and software product development and use. Software design, coding and integration in a real-time environment. May train software developers in the use of configuration management tools and the implementation of software quality standards. Includes control modeling (model based design) Qualifications You Must Have Typically requires a Bachelor's degree in Computer Science, Engineering or other STEM related field and a minimum of 5 years of relevant experience. Experience with software development in C++, using the object-oriented features. Experience including at least two of the following: Embedded Software, Embedded Software Security, Embedded Operating Systems (Linux, RTOS, VxWorks, etc), Software Architecture Design and Implementation. Active and transferable Secret U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. Qualifications We Prefer Strong organization, coordination, planning, teaming skills, as well as written and oral communication skills. Experience generating technical documentation and reports. Experience with RF theory and application in systems. Experience with electronics design and/or conducting data analysis using tools such as Matlab. Experience troubleshooting systems using test equipment such as oscilloscopes, logic analyzers, network analyzers, and/or spectrum analyzers. Knowledge of networking and IP addressed based equipment. Able to work and interface with a cross-discipline team. Experience with both Windows and Linux operating systems. Agile and Scrum team member experience Knowledge of or experience with software languages such as Java, C, C++, or similar languages; scripting languages such as Python and/or Perl, and MATLAB scripts for data analysis purposes. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
08/06/2026
Full time
Date Posted: 2026-07-27 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedom and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Hardware in the Loop (HWIL) Department in Tucson, AZ is a multi-discipline organization responsible for designing, building and integrating state of the art testing environments (flight simulators for missiles), as the last step before flight test. On our team, you will work with weapon system designers to understand requirements, design solutions, integrate, and deploy the systems to help support tactical software development, testing, and delivery for missiles to the warfighter. This position is within the Effectors Center of the HWIL organization, and is an onsite role located in Tucson, AZ What You Will Do Collaborate in a multi-disciplinary team to develop software to control Hardware-In-the-Loop (HWIL) facilities (flight simulators for missiles). Determines end user needs by analyzing system capabilities to resolve problems on program intent, output requirements and input data acquisition. Ensures hardware and software standards are met. Design and implement build procedures that are used to support hardware and software product development and use. Software design, coding and integration in a real-time environment. May train software developers in the use of configuration management tools and the implementation of software quality standards. Includes control modeling (model based design) Qualifications You Must Have Typically requires a Bachelor's degree in Computer Science, Engineering or other STEM related field and a minimum of 5 years of relevant experience. Experience with software development in C++, using the object-oriented features. Experience including at least two of the following: Embedded Software, Embedded Software Security, Embedded Operating Systems (Linux, RTOS, VxWorks, etc), Software Architecture Design and Implementation. Active and transferable Secret U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. Qualifications We Prefer Strong organization, coordination, planning, teaming skills, as well as written and oral communication skills. Experience generating technical documentation and reports. Experience with RF theory and application in systems. Experience with electronics design and/or conducting data analysis using tools such as Matlab. Experience troubleshooting systems using test equipment such as oscilloscopes, logic analyzers, network analyzers, and/or spectrum analyzers. Knowledge of networking and IP addressed based equipment. Able to work and interface with a cross-discipline team. Experience with both Windows and Linux operating systems. Agile and Scrum team member experience Knowledge of or experience with software languages such as Java, C, C++, or similar languages; scripting languages such as Python and/or Perl, and MATLAB scripts for data analysis purposes. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. TheBoeing Company is seeking AssociateSystems Engineers to join one of our St. Louis, MO (Berkeley, Hazelwood, Saint Charles) based teams. Our St. Louis based teams are responsible for development, production, trainers, and sustainment for some of the most advanced defense and weapon systems in the world - including, but not limited to: Fighters/Tactical (F-47, F-15, F/A-18, F-22, & T-7A), Autonomous Systems (MQ-25), Precision Engagement Systems (JDAM, SDB, etc), and other advanced proprietary systems (Phantom Works) and platforms (AH-64, P-8, C-17, etc.). Our teams are currently hiring a broad range of Associate Systems Engineers in the following disciplines: Systems Architecture, Requirements and Interfaces Definition Systems Integration, Verification, & Validation Reliability, Maintainability, & System Health Human Factors & Ergonomics Operations / Systems Analysis Flight Crew Operations Integrations Crew Station Design & Integration Position Responsibilities: Contribute to systems engineering efforts on new development, production, and/or sustainment programs, ensuring alignment with program goals and objectives Work with teams across disciplines to write and keep system requirements, interfaces, verification, and test criteria up to date Perform analyses for affordability, safety, reliability, maintainability, testability, human factors, survivability, vulnerability, security, and product assurance Support program design reviews and technical assessments Track and update requirements, risks/issues/opportunities, tools, and technology readiness Help adopt and use modern systems engineering methods (for example, Model-Based Systems Engineering) This position is expected to be 100% onsite (no hybrid or remote options). The selected candidate will be required to work onsite at one of the listed location options. Travel may be required; Domestically and/or Internationally depending on business needs. This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required Special Program Access or other Government Access Requirements may be required for these positions Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 2 or more years' related engineering experience Preferred Qualifications (Desired Skills/Experience): Active U.S. Security Clearance Prior Systems Engineering experience (i.e. system design, functional decomposition, requirements development, analysis, verification, and validation) Experience with Aircraft, Mission Systems and/or Weapon System development Experience with verification and/or certification efforts (including supporting military safety critical and/or mission critical system hardware and software certification) Experience collaborating with multi-discipline teams to support technical program reviews Experience with Model Based Systems Engineering (MBSE) tools, such as Cameo, MSOSA or similar Systems Modeling Language (SysML)-compatible tool for systems architecture and model development Technical understanding and experience with any of the following: DOORS, Cadece/Pspice, Python, C#, C++, JavaScript, Visual Studio, Subversion, Azure DevOps, Git, CAFTA, ReliaSoft or FaultTree+ Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: Level 2: $91,800 - $124,200 The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Applications for this position will be accepted until Aug. 17, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
08/06/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. TheBoeing Company is seeking AssociateSystems Engineers to join one of our St. Louis, MO (Berkeley, Hazelwood, Saint Charles) based teams. Our St. Louis based teams are responsible for development, production, trainers, and sustainment for some of the most advanced defense and weapon systems in the world - including, but not limited to: Fighters/Tactical (F-47, F-15, F/A-18, F-22, & T-7A), Autonomous Systems (MQ-25), Precision Engagement Systems (JDAM, SDB, etc), and other advanced proprietary systems (Phantom Works) and platforms (AH-64, P-8, C-17, etc.). Our teams are currently hiring a broad range of Associate Systems Engineers in the following disciplines: Systems Architecture, Requirements and Interfaces Definition Systems Integration, Verification, & Validation Reliability, Maintainability, & System Health Human Factors & Ergonomics Operations / Systems Analysis Flight Crew Operations Integrations Crew Station Design & Integration Position Responsibilities: Contribute to systems engineering efforts on new development, production, and/or sustainment programs, ensuring alignment with program goals and objectives Work with teams across disciplines to write and keep system requirements, interfaces, verification, and test criteria up to date Perform analyses for affordability, safety, reliability, maintainability, testability, human factors, survivability, vulnerability, security, and product assurance Support program design reviews and technical assessments Track and update requirements, risks/issues/opportunities, tools, and technology readiness Help adopt and use modern systems engineering methods (for example, Model-Based Systems Engineering) This position is expected to be 100% onsite (no hybrid or remote options). The selected candidate will be required to work onsite at one of the listed location options. Travel may be required; Domestically and/or Internationally depending on business needs. This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required Special Program Access or other Government Access Requirements may be required for these positions Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 2 or more years' related engineering experience Preferred Qualifications (Desired Skills/Experience): Active U.S. Security Clearance Prior Systems Engineering experience (i.e. system design, functional decomposition, requirements development, analysis, verification, and validation) Experience with Aircraft, Mission Systems and/or Weapon System development Experience with verification and/or certification efforts (including supporting military safety critical and/or mission critical system hardware and software certification) Experience collaborating with multi-discipline teams to support technical program reviews Experience with Model Based Systems Engineering (MBSE) tools, such as Cameo, MSOSA or similar Systems Modeling Language (SysML)-compatible tool for systems architecture and model development Technical understanding and experience with any of the following: DOORS, Cadece/Pspice, Python, C#, C++, JavaScript, Visual Studio, Subversion, Azure DevOps, Git, CAFTA, ReliaSoft or FaultTree+ Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: Level 2: $91,800 - $124,200 The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Applications for this position will be accepted until Aug. 17, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Candidate must be authorized to work in the U.S, now or in the future, without assistance or support from McKesson. McKesson is in the business of better health and we touch the lives of patients in virtually every aspect of healthcare. At Macro Helix, we are a leader in providing 340B software focused on helping customers improve financial performance, increase operating efficiencies, and maintain regulatory compliance. Every single McKesson employee contributes to our mission-by joining McKesson you act as a catalyst in a chain of events that helps millions of people all over the globe. We understand the importance of a system that works together. You'll collaborate on the products and solutions that help us carry out our mission to improve lives and advance healthcare. Your expertise, drive and passion can help us improve everything we touch, from providers to payors to pharmacies. Working here is your opportunity to shape an industry that's vital to us all. Join our team of leaders to begin a rewarding career. Key Responsibilities Analyze existing software and develop solution for cloud platform using .NET Core/C#/Azure/Web API Lead and participate in technical design discussions that produce high-performance, highly scalable, and resilient software components. Collaborate with other engineers and product owners and QA members to identify best in class software solutions to complex problems in the health care industry. Maintain existing legacy applications written in ASP.Net/c#.Net through defect correction and refactoring. Take a quality-first approach to software development by producing unit tests and automate functional testing as much as possible. Conduct code reviews with other developers, including security checks. Actively participate in Agile Daily Standups/ Sprint Planning/ Refinements / Retrospectives and Sprint demos. Promote SOLID design principles for software development in a cloud-based environment to implement a code that can easily be modified, tested, extended, and refactored without any problems. Minimum Requirement Degree or equivalent and typically requires 2+ years of relevant experience. Education 4 years degree in computer science or related field or equivalent experience Critical Skills 2+ years of experience developing web-based applications using Microsoft technologies. Proficiency in C#, ASP.NET/.NET Core, JavaScript/TypeScript, Angular, HTML, and CSS. Experience building and supporting cloud-based solutions in Azure (AWS/GCP exposure welcomed). Strong SQL Server experience, including working within high-volume transactional environments. Hands-on experience with Git-based source control, CI/CD pipelines, and modern development practices. Solid foundation in object-oriented programming, software design, testing, debugging, and code quality. Strong analytical, problem-solving, and collaboration skills with keen attention to detail. Additional Knowledge & Skills Experience working with secure web services and API Agile software methodology experience Experience with Data bricks Experience with JIRA and Confluence Health care experience is a plus Agency Statement No agencies please. This position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/work from home model. If located in DFW area, the selected candidate may be expected to work on site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated according to team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $38.94 - $64.90 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
08/06/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Candidate must be authorized to work in the U.S, now or in the future, without assistance or support from McKesson. McKesson is in the business of better health and we touch the lives of patients in virtually every aspect of healthcare. At Macro Helix, we are a leader in providing 340B software focused on helping customers improve financial performance, increase operating efficiencies, and maintain regulatory compliance. Every single McKesson employee contributes to our mission-by joining McKesson you act as a catalyst in a chain of events that helps millions of people all over the globe. We understand the importance of a system that works together. You'll collaborate on the products and solutions that help us carry out our mission to improve lives and advance healthcare. Your expertise, drive and passion can help us improve everything we touch, from providers to payors to pharmacies. Working here is your opportunity to shape an industry that's vital to us all. Join our team of leaders to begin a rewarding career. Key Responsibilities Analyze existing software and develop solution for cloud platform using .NET Core/C#/Azure/Web API Lead and participate in technical design discussions that produce high-performance, highly scalable, and resilient software components. Collaborate with other engineers and product owners and QA members to identify best in class software solutions to complex problems in the health care industry. Maintain existing legacy applications written in ASP.Net/c#.Net through defect correction and refactoring. Take a quality-first approach to software development by producing unit tests and automate functional testing as much as possible. Conduct code reviews with other developers, including security checks. Actively participate in Agile Daily Standups/ Sprint Planning/ Refinements / Retrospectives and Sprint demos. Promote SOLID design principles for software development in a cloud-based environment to implement a code that can easily be modified, tested, extended, and refactored without any problems. Minimum Requirement Degree or equivalent and typically requires 2+ years of relevant experience. Education 4 years degree in computer science or related field or equivalent experience Critical Skills 2+ years of experience developing web-based applications using Microsoft technologies. Proficiency in C#, ASP.NET/.NET Core, JavaScript/TypeScript, Angular, HTML, and CSS. Experience building and supporting cloud-based solutions in Azure (AWS/GCP exposure welcomed). Strong SQL Server experience, including working within high-volume transactional environments. Hands-on experience with Git-based source control, CI/CD pipelines, and modern development practices. Solid foundation in object-oriented programming, software design, testing, debugging, and code quality. Strong analytical, problem-solving, and collaboration skills with keen attention to detail. Additional Knowledge & Skills Experience working with secure web services and API Agile software methodology experience Experience with Data bricks Experience with JIRA and Confluence Health care experience is a plus Agency Statement No agencies please. This position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/work from home model. If located in DFW area, the selected candidate may be expected to work on site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated according to team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $38.94 - $64.90 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!