Intro Are you ready to explore a world of possibilities, both at work and duringyour time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job This job is a member of the Information Technology team within the Information Technology Division. This position is a senior technical role on a highly skilled and experienced team providing technical application design and leadership services. What you'll do As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Oversees and contributes to the technical approach of application design Collaborates with developers to guide the architecture approach for the Functional and Technical Design; reviews, revises, and approves the content of these design documents Creates required documents to support technical application architecture, vision, strategy, standards, policies, and presentations Continually contributes technical input and responses in meetings and discussions in order to support the best application architecture Escalates technical issues when needed to keep project on track and minimize risk Creates, maintains, and communicates application architecture standards and procedures related to design, development, and other associated activities Reviews Business Requirements documents and where applicable, offers alternative best-practice solutions prior to start of design Reviews source code changes and/or unit test cases when applicable (i.e. where design, coding or project can involve high risk). Provides technical assistance and feedback, as needed, related to the M&E application and its architecture Consults and advises resources for related application architecture and infrastructure services and technologies Applies appropriate technology to reduce costs and/or improve productivity resulting in value to the company Maintains an effective approach on problem solving, multi-tasking, coordinating, and scheduling in accordance with stated goals to ensure visibility and predictability Influences and empowers team members for growth and independence Consistently demonstrates a positive, professional, leadership attitude and frame of mind when working with and communicating with others All you'll need for success Minimum Qualifications - Education & Prior Job Experience Bachelor's in Computer Science, Computer Engineering, Technology , Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 8 years of development experience in COBOL, IMS DB/DC 5 years architectural and design experience Preferred Qualifications - Education & Prior Job Experience Master's in Computer Science, Computer Engineering, Technology , Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 3 years of technical or team leadership experience Airline industry experience Skills, Licenses, and Certifications Proven ability to build strong and sustainable relationships with internal and external stakeholders, including engineering, platform, AI, and operational partners Hands-on experience architecting and delivering AI enabled and cloud-native systems across hybrid computing environments, with proven capability in establishing conceptual strategy and technical direction Proficient in Agile, SDD (Spec Driven Development), and modern AI-augmented SDLC methodologies Proficient in application, data, integration, and AI architecture, including agentic workflow design, model integration, and API-first patterns Deep knowledge of event-driven architecture, cloud integration, and modernization from legacy IBM MQ/IIB/SOA to scalable, distributed platforms Significant experience in requirements analysis and specification development, with a strong understanding of AI-assisted development workflows, testing methodologies, and quality gates Experience leading technical architecture across complex, mission-critical operational domains with emphasis on resiliency, observability, and AI-enabled automation Ability to effectively lead and support modernization, change, and continuous improvement in a fast-paced, AI-driven engineering environment Ability to manage large architecture workloads across multiple programs, AI workflows, technical initiatives, and ad hoc requests while maintaining high responsiveness and follow-through Strong understanding of enterprise application environments, integration ecosystems, and AI orchestration components-and how they interact within end-to-end implementation processes What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Employee Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
04/24/2026
Full time
Intro Are you ready to explore a world of possibilities, both at work and duringyour time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job This job is a member of the Information Technology team within the Information Technology Division. This position is a senior technical role on a highly skilled and experienced team providing technical application design and leadership services. What you'll do As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Oversees and contributes to the technical approach of application design Collaborates with developers to guide the architecture approach for the Functional and Technical Design; reviews, revises, and approves the content of these design documents Creates required documents to support technical application architecture, vision, strategy, standards, policies, and presentations Continually contributes technical input and responses in meetings and discussions in order to support the best application architecture Escalates technical issues when needed to keep project on track and minimize risk Creates, maintains, and communicates application architecture standards and procedures related to design, development, and other associated activities Reviews Business Requirements documents and where applicable, offers alternative best-practice solutions prior to start of design Reviews source code changes and/or unit test cases when applicable (i.e. where design, coding or project can involve high risk). Provides technical assistance and feedback, as needed, related to the M&E application and its architecture Consults and advises resources for related application architecture and infrastructure services and technologies Applies appropriate technology to reduce costs and/or improve productivity resulting in value to the company Maintains an effective approach on problem solving, multi-tasking, coordinating, and scheduling in accordance with stated goals to ensure visibility and predictability Influences and empowers team members for growth and independence Consistently demonstrates a positive, professional, leadership attitude and frame of mind when working with and communicating with others All you'll need for success Minimum Qualifications - Education & Prior Job Experience Bachelor's in Computer Science, Computer Engineering, Technology , Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 8 years of development experience in COBOL, IMS DB/DC 5 years architectural and design experience Preferred Qualifications - Education & Prior Job Experience Master's in Computer Science, Computer Engineering, Technology , Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 3 years of technical or team leadership experience Airline industry experience Skills, Licenses, and Certifications Proven ability to build strong and sustainable relationships with internal and external stakeholders, including engineering, platform, AI, and operational partners Hands-on experience architecting and delivering AI enabled and cloud-native systems across hybrid computing environments, with proven capability in establishing conceptual strategy and technical direction Proficient in Agile, SDD (Spec Driven Development), and modern AI-augmented SDLC methodologies Proficient in application, data, integration, and AI architecture, including agentic workflow design, model integration, and API-first patterns Deep knowledge of event-driven architecture, cloud integration, and modernization from legacy IBM MQ/IIB/SOA to scalable, distributed platforms Significant experience in requirements analysis and specification development, with a strong understanding of AI-assisted development workflows, testing methodologies, and quality gates Experience leading technical architecture across complex, mission-critical operational domains with emphasis on resiliency, observability, and AI-enabled automation Ability to effectively lead and support modernization, change, and continuous improvement in a fast-paced, AI-driven engineering environment Ability to manage large architecture workloads across multiple programs, AI workflows, technical initiatives, and ad hoc requests while maintaining high responsiveness and follow-through Strong understanding of enterprise application environments, integration ecosystems, and AI orchestration components-and how they interact within end-to-end implementation processes What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Employee Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
Intro Are you ready to explore a world of possibilities, both at work and duringyour time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job As one diverse, high-performing team dedicated to technical excellence, you will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline. What you'll do As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. The Manager, AI Engineering - Agent Engineering manages a team of AI engineers responsible for designing, building, and operating AI agents that work directly with business partners You will partner closely with business and technology stakeholders to identify high-value opportunities, translate workflows into agent capabilities, and deliver production-grade systems with strong governance, observability, and responsible AI practices. Lead the end-to-end development of agentic systems: intent detection, planning, tool use, memory patterns, retrieval augmentation (RAG), and multi-step workflow orchestration. Define and enforce reference architectures and standards for agent frameworks, tool APIs, prompt/version management, and deployment patterns. Ensure agent designs meet requirements for reliability, latency, cost efficiency, and maintainability in production environments. Work directly with business partners to understand workflows, constraints, and success metrics; translate needs into agent roadmaps and well-defined requirements. Manage stakeholder expectations with clear communication, trade-offs, and transparent progress reporting Implement safeguards for privacy, security, and responsible AI: data handling, access controls, content filtering, audit logging, and human-in-the-loop controls where appropriate Continuously optimize performance across accuracy, safety, latency, and cost. Exhibits strong business and leadership skills, deep technology perspective to guide solutions, and strong communication skills to coordinate with Engineers to ensure they understand business needs and objectives, as well as technical requirements of products Collaborates with Business and IT leadership to execute and communicate organization's technical vision, mission, and work priorities, and drives progress towards roadmaps and ensures efficient technical product management and effective communication with stakeholders Creates environment for delivery teams to be self-governing organizations who are accountable for their own performance and delivery commitments and measured accordingly Provide input on technology decisions, people management, and product features across all stages of product lifecycle Establish open lines of communication between engineering squads and IT leadership, and support clear adherence to business requirements Facilitate and monitor clear Engineer check-ins, sprint deliverables, and open communication toward squads and stakeholders Drives forward increased technical upskilling across organization with education, programs, and metrics Manage Engineer staffing strategy to ensure alignment to Scrum and Agile principles and work closely with Scrum Lead Promote use of industry leading technology trends and continuously assess AA IT needs and areas for improvement Manages and leads adoption and migration of new and emerging technologies Leads, develops, and mentors a high performing engineering team of individuals with a diverse range of technical skills and experiences Responsible for budget management and forecasting Manages production issues and off-hours support, communication, and coordination, as needed All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Technology, Computer Science, Information Systems, or related technical discipline, or equivalent experience/training 5 years of experience participating in delivery of solutions using ITIL / Agile / XP, or similar methodologies 5+ years in software engineering, AI engineering, or applied ML roles, with 3+ years leading engineering teams Strong understanding of LLM-based systems, including agent patterns, RAG, tool/function calling, prompt engineering, and evaluation method Experience building systems with enterprise-grade security, reliability, and observability Preferred Qualifications- Education & Prior Job Experience Proven experience delivering production AI solutions with measurable business outcomes Strong understanding of LLM-based systems, including agent patterns, RAG, tool/function calling, prompt engineering, and evaluation methods Strong technical leadership, and extensive experience in Agile methodology-style leadership environment Hands-on expertise in backend engineering (e.g., Python, Java, C#, or Node.js) and API/service design Experience building agentic orchestration using frameworks such as Semantic Kernel, LangChain/LangGraph, Microsoft Copilot Studio, OpenAI/Anthropic tool calling patterns, or equivalent internal frameworks Familiarity with enterprise governance practices: model/prompt approvals, audit logs, data classification, and risk controls. Knowledge of experimentation and measurement: A/B testing, KPI instrumentation, and operational analytics Airline industry experience, including engineering / business processes and supporting technology Skills, Licenses & Certifications Excellent communication skills to present to executive management often and emphasize the important intersection of business and technology Proven ability to handle multiple products/work streams and demands efficiently Experience in leading a team of individuals with various levels of skills and experience in potentially high stress and challenging situations Demonstrated initiative, flexibility, and ability to adapt to changing priorities and work environment Leads, influences, and upholds technology standards to ensure resiliency goals are met and continuously improved upon Basic financial skills What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Employee Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
04/24/2026
Full time
Intro Are you ready to explore a world of possibilities, both at work and duringyour time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job As one diverse, high-performing team dedicated to technical excellence, you will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline. What you'll do As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. The Manager, AI Engineering - Agent Engineering manages a team of AI engineers responsible for designing, building, and operating AI agents that work directly with business partners You will partner closely with business and technology stakeholders to identify high-value opportunities, translate workflows into agent capabilities, and deliver production-grade systems with strong governance, observability, and responsible AI practices. Lead the end-to-end development of agentic systems: intent detection, planning, tool use, memory patterns, retrieval augmentation (RAG), and multi-step workflow orchestration. Define and enforce reference architectures and standards for agent frameworks, tool APIs, prompt/version management, and deployment patterns. Ensure agent designs meet requirements for reliability, latency, cost efficiency, and maintainability in production environments. Work directly with business partners to understand workflows, constraints, and success metrics; translate needs into agent roadmaps and well-defined requirements. Manage stakeholder expectations with clear communication, trade-offs, and transparent progress reporting Implement safeguards for privacy, security, and responsible AI: data handling, access controls, content filtering, audit logging, and human-in-the-loop controls where appropriate Continuously optimize performance across accuracy, safety, latency, and cost. Exhibits strong business and leadership skills, deep technology perspective to guide solutions, and strong communication skills to coordinate with Engineers to ensure they understand business needs and objectives, as well as technical requirements of products Collaborates with Business and IT leadership to execute and communicate organization's technical vision, mission, and work priorities, and drives progress towards roadmaps and ensures efficient technical product management and effective communication with stakeholders Creates environment for delivery teams to be self-governing organizations who are accountable for their own performance and delivery commitments and measured accordingly Provide input on technology decisions, people management, and product features across all stages of product lifecycle Establish open lines of communication between engineering squads and IT leadership, and support clear adherence to business requirements Facilitate and monitor clear Engineer check-ins, sprint deliverables, and open communication toward squads and stakeholders Drives forward increased technical upskilling across organization with education, programs, and metrics Manage Engineer staffing strategy to ensure alignment to Scrum and Agile principles and work closely with Scrum Lead Promote use of industry leading technology trends and continuously assess AA IT needs and areas for improvement Manages and leads adoption and migration of new and emerging technologies Leads, develops, and mentors a high performing engineering team of individuals with a diverse range of technical skills and experiences Responsible for budget management and forecasting Manages production issues and off-hours support, communication, and coordination, as needed All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Technology, Computer Science, Information Systems, or related technical discipline, or equivalent experience/training 5 years of experience participating in delivery of solutions using ITIL / Agile / XP, or similar methodologies 5+ years in software engineering, AI engineering, or applied ML roles, with 3+ years leading engineering teams Strong understanding of LLM-based systems, including agent patterns, RAG, tool/function calling, prompt engineering, and evaluation method Experience building systems with enterprise-grade security, reliability, and observability Preferred Qualifications- Education & Prior Job Experience Proven experience delivering production AI solutions with measurable business outcomes Strong understanding of LLM-based systems, including agent patterns, RAG, tool/function calling, prompt engineering, and evaluation methods Strong technical leadership, and extensive experience in Agile methodology-style leadership environment Hands-on expertise in backend engineering (e.g., Python, Java, C#, or Node.js) and API/service design Experience building agentic orchestration using frameworks such as Semantic Kernel, LangChain/LangGraph, Microsoft Copilot Studio, OpenAI/Anthropic tool calling patterns, or equivalent internal frameworks Familiarity with enterprise governance practices: model/prompt approvals, audit logs, data classification, and risk controls. Knowledge of experimentation and measurement: A/B testing, KPI instrumentation, and operational analytics Airline industry experience, including engineering / business processes and supporting technology Skills, Licenses & Certifications Excellent communication skills to present to executive management often and emphasize the important intersection of business and technology Proven ability to handle multiple products/work streams and demands efficiently Experience in leading a team of individuals with various levels of skills and experience in potentially high stress and challenging situations Demonstrated initiative, flexibility, and ability to adapt to changing priorities and work environment Leads, influences, and upholds technology standards to ensure resiliency goals are met and continuously improved upon Basic financial skills What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Employee Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
Job DescriptionJob DescriptionJob Summary Location: Austin, TX (Hybrid - 3 days in office) Software engineering is changing fast. AI tools can already help with small tasks. But the real opportunity isnt in isolated prompts - its in redesigning how mission-critical systems are built, maintained, and scaled using AI as a first-class engineering capability. Were looking for an exceptional Applied AI Engineer to help answer a fundamental question: What does it look like for a high-performance engineering team building institutional-grade financial software to use AI to its full potential - without compromising quality, security, or reliability? What you will do This is a hands-on engineering role. You will ship production code while simultaneously embedding AI deeply into how we operate. You will: Build AI-powered engineering workflows that meaningfully accelerate delivery without sacrificing reliability or correctness. Design and deploy agent-based systems, orchestration layers, and AI-assisted tooling that operate in real production environments. Contribute directly to core product code, using AI to amplify your own impact and prove out the workflows you introduce. Systematize AI usage across the team, turning ad hoc experimentation into consistent, high-quality processes with guardrails and observability. Prototype AI-enabled product features, partnering closely with product and engineering. Continuously evaluate emerging models and tools, exercising strong judgment about what to adopt and what to ignore. Engineer AI infrastructure as a production system, including CI/CD integration, configuration management, and safe rollout strategies. You wont be leading a team of people (yet). Youll be leading a team of AI agents. Who You Are Youre a strong engineer first. Youve already shipped and owned meaningful production systems. You think in architectures, trade-offs, and failure modes - not just features. System design comes naturally to you. Youre deeply excited about how AI is reshaping software engineering. Not casually interested - genuinely obsessed. You experiment constantly. Youve likely built your own agents, internal tooling, or AI-powered workflows simply because you couldnt resist. You: Code daily and enjoy it. Have strong production instincts and know what good looks like. Care about code quality, correctness, and reliability. Take pride in unblocking others and increasing team leverage. Think about optimization, efficiency, and long-term engineering velocity. Are comfortable operating in ambiguity and turning emerging ideas into production-ready systems. Treat AI infrastructure like any other critical backend system - versioned, observable, reproducible, and safe. You likely have open-source contributions, side projects, or public experiments demonstrating how you use AI in real engineering environments. You dont just use AI tools. You engineer workflows around them. This Role Is Not For You If You're primarily interested in AI research or training new foundation models. This is about applying existing models to real engineering systems. You prefer advisory or short-term strategy work. We are looking for someone embedded deeply with the team who owns outcomes over time. You enjoy automation disconnected from real production constraints. Everything here touches real code and real systems. You're looking to manage a team. This is an individual contributor role focused on hands-on building. You need fully remote work. This role is highly collaborative and based in Austin (3 days per week in office).
04/24/2026
Full time
Job DescriptionJob DescriptionJob Summary Location: Austin, TX (Hybrid - 3 days in office) Software engineering is changing fast. AI tools can already help with small tasks. But the real opportunity isnt in isolated prompts - its in redesigning how mission-critical systems are built, maintained, and scaled using AI as a first-class engineering capability. Were looking for an exceptional Applied AI Engineer to help answer a fundamental question: What does it look like for a high-performance engineering team building institutional-grade financial software to use AI to its full potential - without compromising quality, security, or reliability? What you will do This is a hands-on engineering role. You will ship production code while simultaneously embedding AI deeply into how we operate. You will: Build AI-powered engineering workflows that meaningfully accelerate delivery without sacrificing reliability or correctness. Design and deploy agent-based systems, orchestration layers, and AI-assisted tooling that operate in real production environments. Contribute directly to core product code, using AI to amplify your own impact and prove out the workflows you introduce. Systematize AI usage across the team, turning ad hoc experimentation into consistent, high-quality processes with guardrails and observability. Prototype AI-enabled product features, partnering closely with product and engineering. Continuously evaluate emerging models and tools, exercising strong judgment about what to adopt and what to ignore. Engineer AI infrastructure as a production system, including CI/CD integration, configuration management, and safe rollout strategies. You wont be leading a team of people (yet). Youll be leading a team of AI agents. Who You Are Youre a strong engineer first. Youve already shipped and owned meaningful production systems. You think in architectures, trade-offs, and failure modes - not just features. System design comes naturally to you. Youre deeply excited about how AI is reshaping software engineering. Not casually interested - genuinely obsessed. You experiment constantly. Youve likely built your own agents, internal tooling, or AI-powered workflows simply because you couldnt resist. You: Code daily and enjoy it. Have strong production instincts and know what good looks like. Care about code quality, correctness, and reliability. Take pride in unblocking others and increasing team leverage. Think about optimization, efficiency, and long-term engineering velocity. Are comfortable operating in ambiguity and turning emerging ideas into production-ready systems. Treat AI infrastructure like any other critical backend system - versioned, observable, reproducible, and safe. You likely have open-source contributions, side projects, or public experiments demonstrating how you use AI in real engineering environments. You dont just use AI tools. You engineer workflows around them. This Role Is Not For You If You're primarily interested in AI research or training new foundation models. This is about applying existing models to real engineering systems. You prefer advisory or short-term strategy work. We are looking for someone embedded deeply with the team who owns outcomes over time. You enjoy automation disconnected from real production constraints. Everything here touches real code and real systems. You're looking to manage a team. This is an individual contributor role focused on hands-on building. You need fully remote work. This role is highly collaborative and based in Austin (3 days per week in office).
Job DescriptionJob Description We are sharing a specialised part-time consulting opportunity for experienced software engineers with strong backgrounds in distributed systems, backend infrastructure, cloud environments, and production-grade systems engineering. This role supports current and upcoming remote consulting opportunities focused on structured technical workflows, distributed systems engineering, technical evaluation, and high-quality project execution. Selected professionals will apply their software engineering expertise to design and optimize backend infrastructure, support scalable distributed services, collaborate across technical workflows, follow technical instructions with precision, and contribute to high-quality technical deliverables. This opportunity is especially well-suited to engineers with strong backend and systems expertise who are comfortable building reliable distributed services and supporting high-performance runtime environments. Key Responsibilities Professionals in this role may contribute to: Distributed Systems & Infrastructure Engineering Design, build, and optimize distributed infrastructure across high-performance compute environments Evaluate and improve system performance across compute, networking, storage, and service layers, identifying and resolving bottlenecks Implement monitoring, observability, and fault-tolerance mechanisms for long-running processes and distributed workflows Backend Systems Development Develop core backend systems including services, APIs, and orchestration layers that support complex technical workflows Build and maintain runtime infrastructure including task scheduling, state management, inter-service communication, and execution reliability Support production-grade infrastructure for scalable backend systems and distributed application behavior Technical Collaboration & Iteration Collaborate closely with technical teams to integrate backend services, infrastructure workflows, and production systems Participate in synchronous collaboration sessions to review architecture decisions, troubleshoot distributed systems, and iterate on design improvements Help shape foundational systems that support scalable, reliable technical operations Ideal Profile Strong candidates may have: A strong foundation in Computer Science, Software Engineering, or Systems Design with experience building large-scale distributed systems Proficiency in one or more backend or systems programming languages such as Go, Rust, Python, C++, Java, Scala, C#, Kotlin, or TypeScript / JavaScript Experience with cloud infrastructure such as AWS, GCP, or Azure Experience with containerization and orchestration tools such as Docker and Kubernetes Strong experience designing production-grade backend services, APIs, and distributed systems Excellent collaboration and communication skills Preferred Qualifications Familiarity with advanced backend infrastructure, workflow orchestration, or high-scale runtime environments Knowledge of networking, data streaming, caching, and performance optimization in distributed systems Strong comfort working across both systems engineering and infrastructure contexts Ability to operate effectively in fast-moving, technically demanding environments Why This Opportunity Apply specialised distributed systems and backend engineering expertise to high-impact technical work Contribute to scalable infrastructure, backend services, and production engineering workflows Work on practical, detail-oriented assignments with strong real-world relevance Collaborate across technical teams on challenging problems in scalability, reliability, and system performance Contract Details Independent contractor role Fully remote with flexible scheduling Hourly compensation of $110-$175 per hour Expected commitment of 30-40 hours per week Participation in synchronous collaboration sessions is required, with 4-hour windows 2-3 times per week Projects may be extended, shortened, or concluded early depending on project needs and performance Weekly payments via Stripe or Wise Work will not involve access to confidential or proprietary information from any employer, client, or institution Please note: We are unable to support H1-B or STEM OPT candidates at this time Start date: Immediate About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy:
04/24/2026
Full time
Job DescriptionJob Description We are sharing a specialised part-time consulting opportunity for experienced software engineers with strong backgrounds in distributed systems, backend infrastructure, cloud environments, and production-grade systems engineering. This role supports current and upcoming remote consulting opportunities focused on structured technical workflows, distributed systems engineering, technical evaluation, and high-quality project execution. Selected professionals will apply their software engineering expertise to design and optimize backend infrastructure, support scalable distributed services, collaborate across technical workflows, follow technical instructions with precision, and contribute to high-quality technical deliverables. This opportunity is especially well-suited to engineers with strong backend and systems expertise who are comfortable building reliable distributed services and supporting high-performance runtime environments. Key Responsibilities Professionals in this role may contribute to: Distributed Systems & Infrastructure Engineering Design, build, and optimize distributed infrastructure across high-performance compute environments Evaluate and improve system performance across compute, networking, storage, and service layers, identifying and resolving bottlenecks Implement monitoring, observability, and fault-tolerance mechanisms for long-running processes and distributed workflows Backend Systems Development Develop core backend systems including services, APIs, and orchestration layers that support complex technical workflows Build and maintain runtime infrastructure including task scheduling, state management, inter-service communication, and execution reliability Support production-grade infrastructure for scalable backend systems and distributed application behavior Technical Collaboration & Iteration Collaborate closely with technical teams to integrate backend services, infrastructure workflows, and production systems Participate in synchronous collaboration sessions to review architecture decisions, troubleshoot distributed systems, and iterate on design improvements Help shape foundational systems that support scalable, reliable technical operations Ideal Profile Strong candidates may have: A strong foundation in Computer Science, Software Engineering, or Systems Design with experience building large-scale distributed systems Proficiency in one or more backend or systems programming languages such as Go, Rust, Python, C++, Java, Scala, C#, Kotlin, or TypeScript / JavaScript Experience with cloud infrastructure such as AWS, GCP, or Azure Experience with containerization and orchestration tools such as Docker and Kubernetes Strong experience designing production-grade backend services, APIs, and distributed systems Excellent collaboration and communication skills Preferred Qualifications Familiarity with advanced backend infrastructure, workflow orchestration, or high-scale runtime environments Knowledge of networking, data streaming, caching, and performance optimization in distributed systems Strong comfort working across both systems engineering and infrastructure contexts Ability to operate effectively in fast-moving, technically demanding environments Why This Opportunity Apply specialised distributed systems and backend engineering expertise to high-impact technical work Contribute to scalable infrastructure, backend services, and production engineering workflows Work on practical, detail-oriented assignments with strong real-world relevance Collaborate across technical teams on challenging problems in scalability, reliability, and system performance Contract Details Independent contractor role Fully remote with flexible scheduling Hourly compensation of $110-$175 per hour Expected commitment of 30-40 hours per week Participation in synchronous collaboration sessions is required, with 4-hour windows 2-3 times per week Projects may be extended, shortened, or concluded early depending on project needs and performance Weekly payments via Stripe or Wise Work will not involve access to confidential or proprietary information from any employer, client, or institution Please note: We are unable to support H1-B or STEM OPT candidates at this time Start date: Immediate About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy:
Job DescriptionJob Description Looking for an innovative, high-growth, multi-award-winning company in one of the hottest segments of the security market? Look no further than Veracode! Veracode is a global leader in Application Risk Management for the AI era. Powered by trillions of lines of code scans and a proprietary AI-generated remediation engine, the Veracode platform is trusted by organizations worldwide to build and maintain secure software from code creation to cloud deployment. Learn more at , on the Veracode blog, and on LinkedIn and Twitter. We are looking for a motivated DevOps Co-op to join our engineering team and gain hands-on experience in cloud infrastructure, automation, and CI/CD pipelines. This role will allow you to work closely with experienced DevOps engineers, software developers, and IT teams to help improve the reliability, scalability, and security of our systems. Responsibilities: Assist in managing and automating cloud infrastructure (AWS, Azure, or GCP). Work with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, etc.) to streamline software deployments. Support containerization and orchestration efforts using Docker and Kubernetes. Monitor and troubleshoot system performance, logs, and security incidents. Write scripts and automation tools in Python, Bash, or Terraform to improve workflow efficiency. Collaborate with development teams to improve deployment processes and infrastructure reliability. Participate in infrastructure as code (IaC) development and configuration management. Document processes, configurations, and best practices for internal use. Qualifications: Currently enrolled in a Masters degree in Computer Science, Software Engineering, or related program. Understanding of Linux/Unix systems and networking fundamentals. Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus. Basic experience with scripting languages (Python, Bash, etc.). Knowledge of version control systems (Git) and CI/CD concepts. Exposure to containerization tools like Docker and Kubernetes is a plus. Strong problem-solving skills and a willingness to learn new technologies. Why Join Us? Hands-on experience with modern DevOps tools and best practices. Work on real-world projects in a collaborative environment. Mentorship and learning opportunities from experienced engineers. Opportunity to contribute to meaningful infrastructure improvements. Fraudulent Recruitment Alert - Be Aware and Stay Informed At Veracode, we prioritize a secure recruitment process. Unfortunately, fake recruitment and job offer scams are on the rise. They aim to deceive candidates through emails and calls to obtain sensitive information. Here's our recruitment promise to you: Comprehensive Interview Process: We never extend job offers without a comprehensive interview process involving our recruitment team and hiring managers. Offer Communications: Our job offers are not sent solely through email, and we will never ask you to pay for your own hardware. Email Verification: Recruiting emails from Veracode will always originate from an email address. If you have any doubts about the authenticity of an email, letter, or telephone communication claiming to be from Veracode, please reach out to us at before taking any further action.
04/24/2026
Full time
Job DescriptionJob Description Looking for an innovative, high-growth, multi-award-winning company in one of the hottest segments of the security market? Look no further than Veracode! Veracode is a global leader in Application Risk Management for the AI era. Powered by trillions of lines of code scans and a proprietary AI-generated remediation engine, the Veracode platform is trusted by organizations worldwide to build and maintain secure software from code creation to cloud deployment. Learn more at , on the Veracode blog, and on LinkedIn and Twitter. We are looking for a motivated DevOps Co-op to join our engineering team and gain hands-on experience in cloud infrastructure, automation, and CI/CD pipelines. This role will allow you to work closely with experienced DevOps engineers, software developers, and IT teams to help improve the reliability, scalability, and security of our systems. Responsibilities: Assist in managing and automating cloud infrastructure (AWS, Azure, or GCP). Work with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, etc.) to streamline software deployments. Support containerization and orchestration efforts using Docker and Kubernetes. Monitor and troubleshoot system performance, logs, and security incidents. Write scripts and automation tools in Python, Bash, or Terraform to improve workflow efficiency. Collaborate with development teams to improve deployment processes and infrastructure reliability. Participate in infrastructure as code (IaC) development and configuration management. Document processes, configurations, and best practices for internal use. Qualifications: Currently enrolled in a Masters degree in Computer Science, Software Engineering, or related program. Understanding of Linux/Unix systems and networking fundamentals. Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus. Basic experience with scripting languages (Python, Bash, etc.). Knowledge of version control systems (Git) and CI/CD concepts. Exposure to containerization tools like Docker and Kubernetes is a plus. Strong problem-solving skills and a willingness to learn new technologies. Why Join Us? Hands-on experience with modern DevOps tools and best practices. Work on real-world projects in a collaborative environment. Mentorship and learning opportunities from experienced engineers. Opportunity to contribute to meaningful infrastructure improvements. Fraudulent Recruitment Alert - Be Aware and Stay Informed At Veracode, we prioritize a secure recruitment process. Unfortunately, fake recruitment and job offer scams are on the rise. They aim to deceive candidates through emails and calls to obtain sensitive information. Here's our recruitment promise to you: Comprehensive Interview Process: We never extend job offers without a comprehensive interview process involving our recruitment team and hiring managers. Offer Communications: Our job offers are not sent solely through email, and we will never ask you to pay for your own hardware. Email Verification: Recruiting emails from Veracode will always originate from an email address. If you have any doubts about the authenticity of an email, letter, or telephone communication claiming to be from Veracode, please reach out to us at before taking any further action.
STAND 8 provides end to end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India. We're looking for an experienced, forward-thinking engineer to strengthen our pipeline delivery capabilities by architecting robust CI/CD workflows within our Platform Engineering team. In this role, you will drive the design and evolution of scalable, secure, and automated pipelines, primarily utilizing GitLab CI/CD and Python. You'll work closely with diverse technology teams to standardize deployment patterns, embed security scanning, and champion pipeline-as-code methodologies. This position plays a key role in improving platform efficiency, accelerating software delivery, and advancing automation practices across the organization. Location & Work Type Location: Carrollton, Texas Work Type: Onsite Key Responsibilities Design, implement, and manage scalable and resilient CI/CD pipelines using GitLab CI/CD to support microservices and monolithic applications. Develop and maintain advanced automation scripts and tooling using Python to streamline build, test, and release processes. Architect and maintain reusable pipeline templates and libraries to ensure standardization and ease of adoption across development teams. Integrate Infrastructure-as-Code (IaC) workflows (Terraform/OpenTofu) into application pipelines for automated environment provisioning. Implement and enforce security best practices within the CI/CD lifecycle, including SAST/DAST scanning, dependency checking, and secret management. Collaborate closely with diverse teams to optimize build times, manage artifact lifecycles, and provide Pipeline Engineering expertise. Troubleshoot and resolve complex pipeline failures, build errors, and deployment issues across Windows and Linux environments. Implement and manage pipeline observability and metrics to ensure deployment visibility and proactive issue detection. Clearly and concisely contribute to the development and documentation of Pipeline Engineering standards and GitOps best practices. Stay up-to-date with the latest industry trends and technologies in CI/CD, DevSecOps, and build automation. Provide mentorship and guidance to junior team members on pipeline architecture and Python automation. Qualifications Required: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience). 5+ years of experience in a Platform, DevOps, Release, or Pipeline Engineer role. Extensive hands-on experience designing and implementing complex CI/CD pipelines using GitLab CI/CD. Strong scripting and software development skills, specifically with Python, for automation and API integration. Solid understanding of Windows/Linux Server administration as it relates to build agents and deployment targets. Proven experience integrating infrastructure-as-code (IaC) tools, specifically Terraform (OpenTofu) and AWS CDK, into automated pipelines. Experience deploying and managing applications in cloud environments, particularly Amazon Web Services (AWS). Deep understanding of security best practices (DevSecOps) and their implementation in CI/CD pipelines (e.g., SonarQube). Solid understanding of version control strategies (Git branching models) and artifact management (e.g., Artifactory). Excellent problem-solving and troubleshooting skills related to build and deployment failures. Strong communication and collaboration skills. Preferred (Optional): Experience with containerization & orchestration technologies (e.g., Docker, Kubernetes/EKS) Relevant AWS or Platform/DevOps certifications. Strong background with .NET/Core build processes and deployment patterns. Experience migrating legacy pipelines (e.g., Jenkins) to GitLab CI/CD. Understanding of Windows server build processes using tools like Packer and Chocolatey. Experience with monitoring tools integrated into deployment workflows (e.g., New Relic, CloudWatch). Benefits Medical coverage and Health Savings Account (HSA) through Anthem Dental/Vision/Various Ancillary coverages through Unum 401(k) retirement savings plan Paid-time-off options Company-paid Employee Assistance Program (EAP) Discount programs through ADP WorkforceNow Additional Details The base range for this contract position is $62.11 - $72.11 / per hour, depending on experience. Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Qualified applicants with arrest or conviction records will be considered. About Us STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and globally with offices in Los Angeles, Atlanta, New York, Mexico, Japan, India, and more. STAND 8 focuses on the "bleeding edge" of technology and leverages automation, process, marketing, and over fifteen years of success and growth to provide a world-class experience for our customers, partners, and employees. Our mission is to impact the world positively by creating success through PEOPLE, PROCESS, and TECHNOLOGY. Check out more at ; and reach out today to explore opportunities to grow together! By applying to this position, your data will be processed in accordance with the STAND 8 Privacy Policy.
04/24/2026
Full time
STAND 8 provides end to end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India. We're looking for an experienced, forward-thinking engineer to strengthen our pipeline delivery capabilities by architecting robust CI/CD workflows within our Platform Engineering team. In this role, you will drive the design and evolution of scalable, secure, and automated pipelines, primarily utilizing GitLab CI/CD and Python. You'll work closely with diverse technology teams to standardize deployment patterns, embed security scanning, and champion pipeline-as-code methodologies. This position plays a key role in improving platform efficiency, accelerating software delivery, and advancing automation practices across the organization. Location & Work Type Location: Carrollton, Texas Work Type: Onsite Key Responsibilities Design, implement, and manage scalable and resilient CI/CD pipelines using GitLab CI/CD to support microservices and monolithic applications. Develop and maintain advanced automation scripts and tooling using Python to streamline build, test, and release processes. Architect and maintain reusable pipeline templates and libraries to ensure standardization and ease of adoption across development teams. Integrate Infrastructure-as-Code (IaC) workflows (Terraform/OpenTofu) into application pipelines for automated environment provisioning. Implement and enforce security best practices within the CI/CD lifecycle, including SAST/DAST scanning, dependency checking, and secret management. Collaborate closely with diverse teams to optimize build times, manage artifact lifecycles, and provide Pipeline Engineering expertise. Troubleshoot and resolve complex pipeline failures, build errors, and deployment issues across Windows and Linux environments. Implement and manage pipeline observability and metrics to ensure deployment visibility and proactive issue detection. Clearly and concisely contribute to the development and documentation of Pipeline Engineering standards and GitOps best practices. Stay up-to-date with the latest industry trends and technologies in CI/CD, DevSecOps, and build automation. Provide mentorship and guidance to junior team members on pipeline architecture and Python automation. Qualifications Required: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience). 5+ years of experience in a Platform, DevOps, Release, or Pipeline Engineer role. Extensive hands-on experience designing and implementing complex CI/CD pipelines using GitLab CI/CD. Strong scripting and software development skills, specifically with Python, for automation and API integration. Solid understanding of Windows/Linux Server administration as it relates to build agents and deployment targets. Proven experience integrating infrastructure-as-code (IaC) tools, specifically Terraform (OpenTofu) and AWS CDK, into automated pipelines. Experience deploying and managing applications in cloud environments, particularly Amazon Web Services (AWS). Deep understanding of security best practices (DevSecOps) and their implementation in CI/CD pipelines (e.g., SonarQube). Solid understanding of version control strategies (Git branching models) and artifact management (e.g., Artifactory). Excellent problem-solving and troubleshooting skills related to build and deployment failures. Strong communication and collaboration skills. Preferred (Optional): Experience with containerization & orchestration technologies (e.g., Docker, Kubernetes/EKS) Relevant AWS or Platform/DevOps certifications. Strong background with .NET/Core build processes and deployment patterns. Experience migrating legacy pipelines (e.g., Jenkins) to GitLab CI/CD. Understanding of Windows server build processes using tools like Packer and Chocolatey. Experience with monitoring tools integrated into deployment workflows (e.g., New Relic, CloudWatch). Benefits Medical coverage and Health Savings Account (HSA) through Anthem Dental/Vision/Various Ancillary coverages through Unum 401(k) retirement savings plan Paid-time-off options Company-paid Employee Assistance Program (EAP) Discount programs through ADP WorkforceNow Additional Details The base range for this contract position is $62.11 - $72.11 / per hour, depending on experience. Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Qualified applicants with arrest or conviction records will be considered. About Us STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and globally with offices in Los Angeles, Atlanta, New York, Mexico, Japan, India, and more. STAND 8 focuses on the "bleeding edge" of technology and leverages automation, process, marketing, and over fifteen years of success and growth to provide a world-class experience for our customers, partners, and employees. Our mission is to impact the world positively by creating success through PEOPLE, PROCESS, and TECHNOLOGY. Check out more at ; and reach out today to explore opportunities to grow together! By applying to this position, your data will be processed in accordance with the STAND 8 Privacy Policy.
Pay Rate: $45 per hour Location: Irvine, CA Summary: Work Mode: Not specified Responsibilities: Designs and builds scalable cloud-native applications, integrating AI and machine learning capabilities. Leads development of microservices, APIs, and full-stack solutions, ensuring reliability, security, and performance. Collaborates with cross-functional teams to implement DevOps practices, automated delivery pipelines, and strong observability. Contributes to AI-driven features such as document processing, chatbots, and AI agents. Architects, designs, and develops microservices-based applications for scalability. Utilizes containerization technologies for consistent deployment across environments. Implements and manages container orchestration for automated deployment and scaling. Architects solutions that scale horizontally and optimize resource utilization. Designs resilient and fault-tolerant applications for high availability. Implements robust monitoring and logging practices using tools like Prometheus and Grafana. Champions API-first design principles for seamless communication between microservices. Mentors and guides other developers, fostering a culture of engineering excellence. Assists in building AI/ML solutions, including document understanding and chatbot functionality. Supports development of AI agents and workflows integrating with internal systems. Tests and evaluates AI models, including large language models and computer vision systems. Gains exposure to MLOps practices such as model versioning and deployment automation. Embraces agile methodologies for rapid and iterative development cycles. Documents work clearly and adheres to established coding standards and practices. Requirements: Bachelor's degree in Computer Science or related field, or 5 years of experience. 10 years of experience in software development, including designing and deploying cloud-native applications. Proficiency in Python and libraries such as TensorFlow and PyTorch. Expertise in multiple programming languages such as C, Rust, Java, Python, or similar. Expertise in backend development and working knowledge of databases (SQL, NoSQL). Expertise in JavaScript frameworks like Angular.js, React.js, or Vue.js. Experience with scalable and resilient system design. Experience in Enterprise software design principles and event-driven architecture.
04/24/2026
Full time
Pay Rate: $45 per hour Location: Irvine, CA Summary: Work Mode: Not specified Responsibilities: Designs and builds scalable cloud-native applications, integrating AI and machine learning capabilities. Leads development of microservices, APIs, and full-stack solutions, ensuring reliability, security, and performance. Collaborates with cross-functional teams to implement DevOps practices, automated delivery pipelines, and strong observability. Contributes to AI-driven features such as document processing, chatbots, and AI agents. Architects, designs, and develops microservices-based applications for scalability. Utilizes containerization technologies for consistent deployment across environments. Implements and manages container orchestration for automated deployment and scaling. Architects solutions that scale horizontally and optimize resource utilization. Designs resilient and fault-tolerant applications for high availability. Implements robust monitoring and logging practices using tools like Prometheus and Grafana. Champions API-first design principles for seamless communication between microservices. Mentors and guides other developers, fostering a culture of engineering excellence. Assists in building AI/ML solutions, including document understanding and chatbot functionality. Supports development of AI agents and workflows integrating with internal systems. Tests and evaluates AI models, including large language models and computer vision systems. Gains exposure to MLOps practices such as model versioning and deployment automation. Embraces agile methodologies for rapid and iterative development cycles. Documents work clearly and adheres to established coding standards and practices. Requirements: Bachelor's degree in Computer Science or related field, or 5 years of experience. 10 years of experience in software development, including designing and deploying cloud-native applications. Proficiency in Python and libraries such as TensorFlow and PyTorch. Expertise in multiple programming languages such as C, Rust, Java, Python, or similar. Expertise in backend development and working knowledge of databases (SQL, NoSQL). Expertise in JavaScript frameworks like Angular.js, React.js, or Vue.js. Experience with scalable and resilient system design. Experience in Enterprise software design principles and event-driven architecture.
Data Engineer, Senior REMOTE 12 Months Pay: $80-110 per hour Open to all US candidates that can work 8 - 5pm PST Description: The Data Engineering Platform Lead is responsible for the overall design, operation, and evolution of enterprise data platforms supporting analytics, integration, and business intelligence. This role owns the data engineering platform stackincluding Snowflake, Informatica, dbt, AWS, and CI/CD toolingand serves as the primary interface between data engineering teams and partner organizations such as Cyber Security, Cloud Infrastructure, DevOps, and Enterprise Architecture. This is a handson technical leadership role with strong platform management and communication responsibilities, ensuring platforms are secure, scalable, costeffective, and aligned with enterprise standards. Key Responsibilities Platform Ownership & Strategy Own the endtoend data engineering platform, including data storage, ingestion, transformation, orchestration, and DevOps tooling. Define and maintain platform standards, reference architectures, and best practices for: Data ingestion (e.g., Informatica) Data transformation and modeling (dbt) Data warehousing (Snowflake) Drive platform roadmaps and adoption of modern data engineering patterns. Evaluate and recommend platform enhancements, tooling upgrades, and new capabilities. CrossFunctional Collaboration Act as the primary point of contact with: Cyber Security (data protection, access controls, audits) Cloud Infrastructure (AWS services, scalability, resiliency) DevOps (CI/CD, environment management, automation) Enterprise Architecture and Data Governance teams Translate data engineering needs into platform and infrastructure requirements and ensure alignment across teams. Technical Leadership Provide technical leadership and guidance to data engineers using the platform. Establish and enforce dbt standards, including: Project structure and layering Naming conventions and documentation Testing, freshness, and data quality practices Guide solution designs to ensure efficient, secure, and scalable use of Snowflake and dbt. Promote software engineering and DevOps best practices for analytics engineering. DevOps & Automation Lead implementation of CI/CD pipelines for data platforms, including dbt deployments. Integrate Gitbased workflows, automated testing, and controlled promotion across environments. Partner with DevOps teams to improve reliability, repeatability, and release confidence. Operational Excellence Ensure platform reliability, performance, and cost optimization. Define monitoring, alerting, and support models for platform services. Support compliance, audit, and risk remediation activities. Maintain platform documentation, runbooks, and onboarding materials. Required Technical Skills Strong experience managing and operating enterprise data platforms, including: Snowflake (architecture, administration, performance, security) Informatica (PowerCenter and/or Informatica Cloud) dbt (core concepts, modeling patterns, tests, documentation, environments) AWS (foundational services supporting data platforms) Handson experience with DevOps and CI/CD, including: Git / GitHub (branching and version control) Jenkins (or equivalent CI/CD tools) Strong understanding of: Data modeling and transformation best practices Cloud security and access controls Platform scalability, reliability, and cost management Communication & Leadership Skills Excellent verbal and written communication skills. Proven ability to work across multiple teams with differing priorities. Comfortable leading design reviews, architecture discussions, and platform governance forums. Ability to influence without direct authority and drive adoption of standards. Qualifications Bachelors degree in Computer Science, Engineering, or related field. 7+ years of experience in data engineering or data platform engineering. 3+ years in a technical lead, platform lead, or principallevel role. Experience in large enterprise or regulated environments preferred. Preferred Qualifications Experience supporting federated development teams using shared dbt and Snowflake platforms. Familiarity with data governance, metadata management, and analytics catalogs. Experience defining operating and support models for shared platforms.
04/24/2026
Full time
Data Engineer, Senior REMOTE 12 Months Pay: $80-110 per hour Open to all US candidates that can work 8 - 5pm PST Description: The Data Engineering Platform Lead is responsible for the overall design, operation, and evolution of enterprise data platforms supporting analytics, integration, and business intelligence. This role owns the data engineering platform stackincluding Snowflake, Informatica, dbt, AWS, and CI/CD toolingand serves as the primary interface between data engineering teams and partner organizations such as Cyber Security, Cloud Infrastructure, DevOps, and Enterprise Architecture. This is a handson technical leadership role with strong platform management and communication responsibilities, ensuring platforms are secure, scalable, costeffective, and aligned with enterprise standards. Key Responsibilities Platform Ownership & Strategy Own the endtoend data engineering platform, including data storage, ingestion, transformation, orchestration, and DevOps tooling. Define and maintain platform standards, reference architectures, and best practices for: Data ingestion (e.g., Informatica) Data transformation and modeling (dbt) Data warehousing (Snowflake) Drive platform roadmaps and adoption of modern data engineering patterns. Evaluate and recommend platform enhancements, tooling upgrades, and new capabilities. CrossFunctional Collaboration Act as the primary point of contact with: Cyber Security (data protection, access controls, audits) Cloud Infrastructure (AWS services, scalability, resiliency) DevOps (CI/CD, environment management, automation) Enterprise Architecture and Data Governance teams Translate data engineering needs into platform and infrastructure requirements and ensure alignment across teams. Technical Leadership Provide technical leadership and guidance to data engineers using the platform. Establish and enforce dbt standards, including: Project structure and layering Naming conventions and documentation Testing, freshness, and data quality practices Guide solution designs to ensure efficient, secure, and scalable use of Snowflake and dbt. Promote software engineering and DevOps best practices for analytics engineering. DevOps & Automation Lead implementation of CI/CD pipelines for data platforms, including dbt deployments. Integrate Gitbased workflows, automated testing, and controlled promotion across environments. Partner with DevOps teams to improve reliability, repeatability, and release confidence. Operational Excellence Ensure platform reliability, performance, and cost optimization. Define monitoring, alerting, and support models for platform services. Support compliance, audit, and risk remediation activities. Maintain platform documentation, runbooks, and onboarding materials. Required Technical Skills Strong experience managing and operating enterprise data platforms, including: Snowflake (architecture, administration, performance, security) Informatica (PowerCenter and/or Informatica Cloud) dbt (core concepts, modeling patterns, tests, documentation, environments) AWS (foundational services supporting data platforms) Handson experience with DevOps and CI/CD, including: Git / GitHub (branching and version control) Jenkins (or equivalent CI/CD tools) Strong understanding of: Data modeling and transformation best practices Cloud security and access controls Platform scalability, reliability, and cost management Communication & Leadership Skills Excellent verbal and written communication skills. Proven ability to work across multiple teams with differing priorities. Comfortable leading design reviews, architecture discussions, and platform governance forums. Ability to influence without direct authority and drive adoption of standards. Qualifications Bachelors degree in Computer Science, Engineering, or related field. 7+ years of experience in data engineering or data platform engineering. 3+ years in a technical lead, platform lead, or principallevel role. Experience in large enterprise or regulated environments preferred. Preferred Qualifications Experience supporting federated development teams using shared dbt and Snowflake platforms. Familiarity with data governance, metadata management, and analytics catalogs. Experience defining operating and support models for shared platforms.
DivIHN (pronounced "divine") is a CMMI ML3-certified Technology and Talent solutions firm. Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations. Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent. Visit us at to learn more and view our open positions. Please apply or call one of us to learn more For further inquiries about this opportunity, please contact our Talent Specialist, Sri at . Title: DevOps Engineer Duration: 7 Months Location: Sylmar, CA Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered. Job Description: Skills: Strong verbal and written communications with ability to effectively communicate at multiple levels in the organization Multitasks, prioritizes and meets deadlines in timely manner Ability to maintain regular and predictable attendance Duties: Passion for DevOps, DevSecOps, Agile, and Security Working knowledge of Azure and Azure PaaS services Working knowledge of Waterfall, Agile, and primarily DevOps development methodologies Normally determines technical objectives of assignments. Exercises latitude in approach to solutioning Knowledgeable in managing software code projects and conducting management of said projects Experience with Automation in testing or orchestration Experience with tools such as Terraform, Git, Gitlab Knowledgeable in CI/CD in relation to Gitlab, Azure DevOps, and/or similar platforms Exposed to security checks in CI/CD pipelines Understanding of virtualization and container technologies (Docker, AKS/Kubernetes, etc.) Experience with REST APIs Experience managing vendor relationships Ability to contribute to dev ops workflows via scripting and other regular system administration activities Demonstrated knowledge of scripting languages General exposure to how key networking components operate/function, primarily firewalls and load-balancers/reverse proxies such F5 LTM/GTM or Azure native services Provide system performance optimization, maintenance and production support (if escalated to) Refine conceptual system requirements into a technical design consisting of job flows and program specifications Understand customers' business objectives and system requirements and work closely with customers to determine their strategic requirements and measure performance against expectations. Assist in customer resolutions Responsible for staying abreast of new developments in technologies and making recommendations as appropriate Applies enterprise security policies and standards when performing all operational duties Experience and Education Required: Bachelors degree in Computer Science, Computer, Electrical or Biomedical Engineering. Knowledge of software coding. Knowledge of software development lifecycle management tools. Organized, on-time, quick learner and detailed oriented. Excellent documentation skills in delivering information that adds value to managements decision-making process. Experienced in quantitative, analytical, organizational, and follow-up skills. Polished communicator - written documentation and oral presentations/ discussions/ meetings. Excellent reputation for building relationships across various levels of an organization. Energized attitude, proactive thinker and self-starter. We are primarily looking for somebody who has good coding skills, no testing experience required. Education in computer science is preferred. 0- 2 years of experience. Looking for candidates who are organized and proficient thinkers with excellent communication skills. Med device exp is nice to have but not required. Prefer local candidates but relocation at own expense is fine as long as it's within two weeks and onboarding is not interrupted. Potential to extend and/or convert to FTE for right candidate but no guarantees. Builds and maintains CI/CD pipelines Manages cloud infrastructure and containerized environments Implements monitoring, logging, and alerting Automates repetitive operational tasks Ensures smooth, reliable deployments About us: DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration. DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status. REST APIs, Scripting languages, CI/CD pipelines
04/24/2026
Full time
DivIHN (pronounced "divine") is a CMMI ML3-certified Technology and Talent solutions firm. Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations. Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent. Visit us at to learn more and view our open positions. Please apply or call one of us to learn more For further inquiries about this opportunity, please contact our Talent Specialist, Sri at . Title: DevOps Engineer Duration: 7 Months Location: Sylmar, CA Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered. Job Description: Skills: Strong verbal and written communications with ability to effectively communicate at multiple levels in the organization Multitasks, prioritizes and meets deadlines in timely manner Ability to maintain regular and predictable attendance Duties: Passion for DevOps, DevSecOps, Agile, and Security Working knowledge of Azure and Azure PaaS services Working knowledge of Waterfall, Agile, and primarily DevOps development methodologies Normally determines technical objectives of assignments. Exercises latitude in approach to solutioning Knowledgeable in managing software code projects and conducting management of said projects Experience with Automation in testing or orchestration Experience with tools such as Terraform, Git, Gitlab Knowledgeable in CI/CD in relation to Gitlab, Azure DevOps, and/or similar platforms Exposed to security checks in CI/CD pipelines Understanding of virtualization and container technologies (Docker, AKS/Kubernetes, etc.) Experience with REST APIs Experience managing vendor relationships Ability to contribute to dev ops workflows via scripting and other regular system administration activities Demonstrated knowledge of scripting languages General exposure to how key networking components operate/function, primarily firewalls and load-balancers/reverse proxies such F5 LTM/GTM or Azure native services Provide system performance optimization, maintenance and production support (if escalated to) Refine conceptual system requirements into a technical design consisting of job flows and program specifications Understand customers' business objectives and system requirements and work closely with customers to determine their strategic requirements and measure performance against expectations. Assist in customer resolutions Responsible for staying abreast of new developments in technologies and making recommendations as appropriate Applies enterprise security policies and standards when performing all operational duties Experience and Education Required: Bachelors degree in Computer Science, Computer, Electrical or Biomedical Engineering. Knowledge of software coding. Knowledge of software development lifecycle management tools. Organized, on-time, quick learner and detailed oriented. Excellent documentation skills in delivering information that adds value to managements decision-making process. Experienced in quantitative, analytical, organizational, and follow-up skills. Polished communicator - written documentation and oral presentations/ discussions/ meetings. Excellent reputation for building relationships across various levels of an organization. Energized attitude, proactive thinker and self-starter. We are primarily looking for somebody who has good coding skills, no testing experience required. Education in computer science is preferred. 0- 2 years of experience. Looking for candidates who are organized and proficient thinkers with excellent communication skills. Med device exp is nice to have but not required. Prefer local candidates but relocation at own expense is fine as long as it's within two weeks and onboarding is not interrupted. Potential to extend and/or convert to FTE for right candidate but no guarantees. Builds and maintains CI/CD pipelines Manages cloud infrastructure and containerized environments Implements monitoring, logging, and alerting Automates repetitive operational tasks Ensures smooth, reliable deployments About us: DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration. DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status. REST APIs, Scripting languages, CI/CD pipelines
AI Infrastructure Engineer (Python) Full Time 5-Days Onsite in NYC About the Role We are seeking an AI Infrastructure Engineer (Python) to support, scale, and enhance a production AI and data platform. This role sits at the intersection of AI infrastructure, cloud engineering, and agent-based systems. You will be responsible for ensuring the reliability, scalability, and performance of AI-driven systems operating in production environments across multi-cloud platforms (Azure and GCP). This is not a modeling or research role it's focused on building and maintaining the infrastructure that powers AI systems at scale. This is an excellent opportunity for someone with strong foundational engineering skills who is eager to deepen their expertise in AI platforms and cloud-native systems. What You ll Do Systems Engineering & Agent Operations Develop, maintain, and optimize production-grade Python code supporting data pipelines, agent workflows, and platform tooling Own the full lifecycle of Python services (containerization, deployment, versioning, runtime management) Manage environment configurations, secrets injection, and dependency management across containerized services Build internal Python tooling and shared libraries to accelerate development workflows Troubleshoot production issues end-to-end across application and infrastructure layers AI Platform & Scaling Operate and scale AI-driven agent systems in production environments Ensure high availability, performance, and resilience under load Support integrations between AI agents and data platforms Build observability tools (logging, monitoring, tracing, alerting) Implement auto-scaling strategies for containerized workloads Contribute to evaluation frameworks and quality standards for AI systems Infrastructure & Cloud Operations Develop and manage infrastructure using Terraform across Azure and GCP Manage cloud services including container registries, identity systems, secrets management, and networking Deploy and maintain workflow orchestration tools (e.g., Prefect) Maintain CI/CD pipelines and release workflows Document systems, workflows, and data lineage with clear runbooks What We re Looking For Required 3 5 years of experience in Software Engineering, DevOps, or MLOps Strong Python skills with experience building production systems Experience with Docker and containerized applications in cloud environments (Azure and/or GCP) Hands-on experience with Terraform Experience with secrets management tools and secure configuration practices Familiarity with CI/CD pipelines and Git-based workflows Strong troubleshooting and systems-thinking mindset Interest in AI systems and infrastructure Preferred Experience with Azure services (Container Apps, ACR, Key Vault, Managed Identities, VNets) Experience with GCP services (Cloud Run, GKE, Vertex AI, IAM, Secret Manager) Familiarity with workflow orchestration tools (e.g., Prefect) Exposure to AI/agent frameworks (e.g., LangChain, MCP) Experience with observability tools (e.g., MLflow, Langfuse) Experience with data tools such as dbt or Snowflake Familiarity with multi-cloud environments
04/24/2026
Full time
AI Infrastructure Engineer (Python) Full Time 5-Days Onsite in NYC About the Role We are seeking an AI Infrastructure Engineer (Python) to support, scale, and enhance a production AI and data platform. This role sits at the intersection of AI infrastructure, cloud engineering, and agent-based systems. You will be responsible for ensuring the reliability, scalability, and performance of AI-driven systems operating in production environments across multi-cloud platforms (Azure and GCP). This is not a modeling or research role it's focused on building and maintaining the infrastructure that powers AI systems at scale. This is an excellent opportunity for someone with strong foundational engineering skills who is eager to deepen their expertise in AI platforms and cloud-native systems. What You ll Do Systems Engineering & Agent Operations Develop, maintain, and optimize production-grade Python code supporting data pipelines, agent workflows, and platform tooling Own the full lifecycle of Python services (containerization, deployment, versioning, runtime management) Manage environment configurations, secrets injection, and dependency management across containerized services Build internal Python tooling and shared libraries to accelerate development workflows Troubleshoot production issues end-to-end across application and infrastructure layers AI Platform & Scaling Operate and scale AI-driven agent systems in production environments Ensure high availability, performance, and resilience under load Support integrations between AI agents and data platforms Build observability tools (logging, monitoring, tracing, alerting) Implement auto-scaling strategies for containerized workloads Contribute to evaluation frameworks and quality standards for AI systems Infrastructure & Cloud Operations Develop and manage infrastructure using Terraform across Azure and GCP Manage cloud services including container registries, identity systems, secrets management, and networking Deploy and maintain workflow orchestration tools (e.g., Prefect) Maintain CI/CD pipelines and release workflows Document systems, workflows, and data lineage with clear runbooks What We re Looking For Required 3 5 years of experience in Software Engineering, DevOps, or MLOps Strong Python skills with experience building production systems Experience with Docker and containerized applications in cloud environments (Azure and/or GCP) Hands-on experience with Terraform Experience with secrets management tools and secure configuration practices Familiarity with CI/CD pipelines and Git-based workflows Strong troubleshooting and systems-thinking mindset Interest in AI systems and infrastructure Preferred Experience with Azure services (Container Apps, ACR, Key Vault, Managed Identities, VNets) Experience with GCP services (Cloud Run, GKE, Vertex AI, IAM, Secret Manager) Familiarity with workflow orchestration tools (e.g., Prefect) Exposure to AI/agent frameworks (e.g., LangChain, MCP) Experience with observability tools (e.g., MLflow, Langfuse) Experience with data tools such as dbt or Snowflake Familiarity with multi-cloud environments
Full-Stack Agentic AI Developer (Hybrid with travel) with Product Ownership Responsibilities Full-Stack Agentic AI Developer Position Summary We are looking for a Full-Stack Agentic AI Developer who can build autonomous, goal-driven AI systems and ship them as products that solve real business problems. This is not a traditional developer role. The ideal candidate blends deep technical fluency in agentic frameworks and AI-native development tools with a product owner s instinct for prioritization, stakeholder management, and outcome-driven delivery. You will design, build, and orchestrate multi-agent systems that plan, reason, use tools, recover from errors, and collaborate with humans when the stakes are high. Equally important, you will own the product roadmap for the solutions you build translating business objectives into technical requirements, managing backlogs, and ensuring what ships creates measurable value. Full-Stack Agentic AI Developer What You Will Do Agentic AI Development Design, develop, and deploy autonomous and semi-autonomous AI agent systems that interpret goals, gather context, select tools, and execute end-to-end workflows Build and maintain custom skills, plugins, and tool integrations that extend agent capabilities across enterprise environments Architect multi-agent orchestration patterns including agent-to-agent delegation, parallel task execution, and human-in-the-loop escalation paths Implement agentic memory frameworks, context management strategies, and guardrails that ensure reliable, safe, and auditable agent behavior Develop and refine system prompts, reasoning chains, and evaluation pipelines to continuously improve agent performance Full-Stack Engineering Build robust, scalable web applications and APIs that serve as the interface and backbone for AI-powered solutions Work across front-end and back-end technologies to deliver complete, production-ready systems Design and implement data pipelines, integrations, and infrastructure to support agent operations at scale Write clean, maintainable, well-tested code and conduct thorough code reviews Product Ownership & Business Alignment Own the product vision and roadmap for the AI solutions you build from discovery through delivery and iteration Translate business objectives and stakeholder needs into prioritized backlogs, user stories, and acceptance criteria Collaborate directly with clients, executives, and cross-functional teams to define scope, manage expectations, and communicate progress Measure and report on product outcomes using business-relevant KPIs, not just technical metrics Make build-vs-buy and technology selection decisions grounded in ROI, time-to-value, and strategic fit Facilitate sprint planning, demos, and retrospectives functioning as a player-coach who both builds and leads Full-Stack Agentic AI Developer Required Qualifications Experience & Education 5 10 years of software development experience with progressive responsibility Bachelor s degree in Computer Science, Software Engineering, or related field (or equivalent practical experience) 2+ years of hands-on experience building AI-powered applications, including agent-based systems Demonstrated experience functioning as a product owner, product manager, or technical lead with direct business-facing accountability Agentic AI & LLM Expertise Proven experience with agentic coding tools and AI-native development environments. Proficiency in one or more of the following is required: Claude Code terminal-native agentic development, sub-agents, skills authoring, MCP server integration OpenAI Codex autonomous cloud-based coding agents, background task execution, PR workflows Cursor AI-native IDE, multi-model routing, Composer multi-file editing, background agents GitHub Copilot agent mode, code review automation, workspace integration Experience building custom skills, tool definitions, and structured prompt architectures for AI agents Proficiency with LLM orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel Experience with agentic memory and context management (e.g., Mem0, Letta, custom RAG pipelines) Strong understanding of prompt engineering, chain-of-thought reasoning, and evaluation frameworks for agent behavior Programming & Architecture Strong proficiency in Python and JavaScript/TypeScript; additional languages (C#, Go, Rust) are a plus Experience with front-end frameworks (React, Next.js, Angular) and back-end frameworks (FastAPI, Express.js, Flask) Expertise with Git, GitHub workflows, branching strategies, CI/CD pipelines, and infrastructure-as-code Experience building and consuming REST APIs, GraphQL endpoints, and microservices architectures Database expertise spanning relational (PostgreSQL), vector (Pinecone, Zilliz, Chroma), and graph databases (Neo4j) Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) Full-Stack Agentic AI Developer Preferred Qualifications Experience deploying LLM agents in production using serving frameworks such as vLLM, e2B, or Daytona Familiarity with Model Context Protocol (MCP) servers and building custom tool integrations Experience with agent evaluation, red-teaming, and safety testing methodologies Background in AI governance, responsible AI practices, or ISO 42001 / SOC 2 compliance frameworks Experience with AgentOps practices: monitoring, observability, and telemetry for autonomous systems Certified Scrum Product Owner (CSPO), SAFe Product Owner, or equivalent agile certification Prior consulting or professional services experience with client-facing delivery accountability Mobile application development experience Experience mentoring junior developers and building team capability What Sets You Apart The best candidate for this role doesn t just write code they think in systems, products, and outcomes. You understand that the highest-value AI work often happens upstream of production: in defining the right problem, designing the right agent architecture, and ensuring the solution actually moves a business metric. You are equally comfortable whiteboarding an agent orchestration pattern with engineers and presenting a product roadmap to a C-suite audience. You have strong opinions, loosely held, about how autonomous AI systems should be built, tested, and governed. You stay current not because you re told to, but because you re genuinely fascinated by the pace of change in agentic AI and you bring that energy to your team every day.
04/23/2026
Full time
Full-Stack Agentic AI Developer (Hybrid with travel) with Product Ownership Responsibilities Full-Stack Agentic AI Developer Position Summary We are looking for a Full-Stack Agentic AI Developer who can build autonomous, goal-driven AI systems and ship them as products that solve real business problems. This is not a traditional developer role. The ideal candidate blends deep technical fluency in agentic frameworks and AI-native development tools with a product owner s instinct for prioritization, stakeholder management, and outcome-driven delivery. You will design, build, and orchestrate multi-agent systems that plan, reason, use tools, recover from errors, and collaborate with humans when the stakes are high. Equally important, you will own the product roadmap for the solutions you build translating business objectives into technical requirements, managing backlogs, and ensuring what ships creates measurable value. Full-Stack Agentic AI Developer What You Will Do Agentic AI Development Design, develop, and deploy autonomous and semi-autonomous AI agent systems that interpret goals, gather context, select tools, and execute end-to-end workflows Build and maintain custom skills, plugins, and tool integrations that extend agent capabilities across enterprise environments Architect multi-agent orchestration patterns including agent-to-agent delegation, parallel task execution, and human-in-the-loop escalation paths Implement agentic memory frameworks, context management strategies, and guardrails that ensure reliable, safe, and auditable agent behavior Develop and refine system prompts, reasoning chains, and evaluation pipelines to continuously improve agent performance Full-Stack Engineering Build robust, scalable web applications and APIs that serve as the interface and backbone for AI-powered solutions Work across front-end and back-end technologies to deliver complete, production-ready systems Design and implement data pipelines, integrations, and infrastructure to support agent operations at scale Write clean, maintainable, well-tested code and conduct thorough code reviews Product Ownership & Business Alignment Own the product vision and roadmap for the AI solutions you build from discovery through delivery and iteration Translate business objectives and stakeholder needs into prioritized backlogs, user stories, and acceptance criteria Collaborate directly with clients, executives, and cross-functional teams to define scope, manage expectations, and communicate progress Measure and report on product outcomes using business-relevant KPIs, not just technical metrics Make build-vs-buy and technology selection decisions grounded in ROI, time-to-value, and strategic fit Facilitate sprint planning, demos, and retrospectives functioning as a player-coach who both builds and leads Full-Stack Agentic AI Developer Required Qualifications Experience & Education 5 10 years of software development experience with progressive responsibility Bachelor s degree in Computer Science, Software Engineering, or related field (or equivalent practical experience) 2+ years of hands-on experience building AI-powered applications, including agent-based systems Demonstrated experience functioning as a product owner, product manager, or technical lead with direct business-facing accountability Agentic AI & LLM Expertise Proven experience with agentic coding tools and AI-native development environments. Proficiency in one or more of the following is required: Claude Code terminal-native agentic development, sub-agents, skills authoring, MCP server integration OpenAI Codex autonomous cloud-based coding agents, background task execution, PR workflows Cursor AI-native IDE, multi-model routing, Composer multi-file editing, background agents GitHub Copilot agent mode, code review automation, workspace integration Experience building custom skills, tool definitions, and structured prompt architectures for AI agents Proficiency with LLM orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel Experience with agentic memory and context management (e.g., Mem0, Letta, custom RAG pipelines) Strong understanding of prompt engineering, chain-of-thought reasoning, and evaluation frameworks for agent behavior Programming & Architecture Strong proficiency in Python and JavaScript/TypeScript; additional languages (C#, Go, Rust) are a plus Experience with front-end frameworks (React, Next.js, Angular) and back-end frameworks (FastAPI, Express.js, Flask) Expertise with Git, GitHub workflows, branching strategies, CI/CD pipelines, and infrastructure-as-code Experience building and consuming REST APIs, GraphQL endpoints, and microservices architectures Database expertise spanning relational (PostgreSQL), vector (Pinecone, Zilliz, Chroma), and graph databases (Neo4j) Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) Full-Stack Agentic AI Developer Preferred Qualifications Experience deploying LLM agents in production using serving frameworks such as vLLM, e2B, or Daytona Familiarity with Model Context Protocol (MCP) servers and building custom tool integrations Experience with agent evaluation, red-teaming, and safety testing methodologies Background in AI governance, responsible AI practices, or ISO 42001 / SOC 2 compliance frameworks Experience with AgentOps practices: monitoring, observability, and telemetry for autonomous systems Certified Scrum Product Owner (CSPO), SAFe Product Owner, or equivalent agile certification Prior consulting or professional services experience with client-facing delivery accountability Mobile application development experience Experience mentoring junior developers and building team capability What Sets You Apart The best candidate for this role doesn t just write code they think in systems, products, and outcomes. You understand that the highest-value AI work often happens upstream of production: in defining the right problem, designing the right agent architecture, and ensuring the solution actually moves a business metric. You are equally comfortable whiteboarding an agent orchestration pattern with engineers and presenting a product roadmap to a C-suite audience. You have strong opinions, loosely held, about how autonomous AI systems should be built, tested, and governed. You stay current not because you re told to, but because you re genuinely fascinated by the pace of change in agentic AI and you bring that energy to your team every day.
V2Soft is a global leader in IT services and business solutions, delivering innovative and cost-effective technology solutions worldwide since 1998. We have headquarteerd in Bloomfiled Hills, MI and have 16 offices spread across six countries. We partner with Fortune 500 companies to address complex business challenges. Our services span AI, IT staffing, cloud computing, engineering, mobility, testing, and more. Certified with CMMI Level 3 and ISO standards, V2Soft is committed to quality and security. Beyond our work, we actively support local communities and non-profits, reflecting our core values. Join us to be part of a dynamic and impactful global company! Please visit us at to know more . Remote Role, Only W2, No C2C. Skills Required: Java Skills Preferred: PostgreSQL, Angular, GCP, Kubernetes Experience Required: • 7+ years of hands-on IBM Sterling OMS development/implementation experience in enterprise environments • Strong expertise in OMS functional and technical areas, particularly around orchestration workflows and core OMS modules. Participant Modeling Process Modeling (Sales, Returns & Exchanges, Purchase/DropShip, Transfer Orders) Sourcing Payment Processing Inventory Management Agents, event-driven automation, and background processes SDF, Catalog, Pricing/Repricing, and tax-related recalculations (as applicable) • Experience working in containerized versions of IBM Sterling OMS • Experience in customizing IBM Sterling OrderHub and CallCenter modules • Strong hands-on development skills in Core Java (modern Java versions; advanced concepts preferred). • Strong experience with RESTful services, JSON, and integration patterns. • Solid working knowledge of SQL and data troubleshooting. • Strong understanding of software engineering fundamentals: OOP, design principles, debugging, performance considerations, and code maintainability. • Demonstrated commitment to code quality and unit testing (e.g., JUnit/Mockito or equivalent testing frameworks). Good communication skills and the ability to work effectively with multiple stakeholders across teams. Experience Preferred: • Experience with Spring Boot or similar frameworks for building supporting services. • Experience with transformations such as XSL (where applicable in OMS customizations). • Familiarity with containerized development concepts (e.g., Docker) and CI/CD fundamentals. • Exposure to frontend technologies such as React and/or TypeScript (helpful but not the primary focus). • Familiarity with modern engineering productivity tooling and/or AI-assisted development concepts is a plus. Education Required: Bachelor's Degree Additional Information : Remote Position V2Soft is an Equal Opportunity Employer ( EOE). We welcome applicants from all backgrounds, including individuals with disabilities and veterans. - to view all of our open opportunities and to learn more about our benefits.
04/23/2026
Full time
V2Soft is a global leader in IT services and business solutions, delivering innovative and cost-effective technology solutions worldwide since 1998. We have headquarteerd in Bloomfiled Hills, MI and have 16 offices spread across six countries. We partner with Fortune 500 companies to address complex business challenges. Our services span AI, IT staffing, cloud computing, engineering, mobility, testing, and more. Certified with CMMI Level 3 and ISO standards, V2Soft is committed to quality and security. Beyond our work, we actively support local communities and non-profits, reflecting our core values. Join us to be part of a dynamic and impactful global company! Please visit us at to know more . Remote Role, Only W2, No C2C. Skills Required: Java Skills Preferred: PostgreSQL, Angular, GCP, Kubernetes Experience Required: • 7+ years of hands-on IBM Sterling OMS development/implementation experience in enterprise environments • Strong expertise in OMS functional and technical areas, particularly around orchestration workflows and core OMS modules. Participant Modeling Process Modeling (Sales, Returns & Exchanges, Purchase/DropShip, Transfer Orders) Sourcing Payment Processing Inventory Management Agents, event-driven automation, and background processes SDF, Catalog, Pricing/Repricing, and tax-related recalculations (as applicable) • Experience working in containerized versions of IBM Sterling OMS • Experience in customizing IBM Sterling OrderHub and CallCenter modules • Strong hands-on development skills in Core Java (modern Java versions; advanced concepts preferred). • Strong experience with RESTful services, JSON, and integration patterns. • Solid working knowledge of SQL and data troubleshooting. • Strong understanding of software engineering fundamentals: OOP, design principles, debugging, performance considerations, and code maintainability. • Demonstrated commitment to code quality and unit testing (e.g., JUnit/Mockito or equivalent testing frameworks). Good communication skills and the ability to work effectively with multiple stakeholders across teams. Experience Preferred: • Experience with Spring Boot or similar frameworks for building supporting services. • Experience with transformations such as XSL (where applicable in OMS customizations). • Familiarity with containerized development concepts (e.g., Docker) and CI/CD fundamentals. • Exposure to frontend technologies such as React and/or TypeScript (helpful but not the primary focus). • Familiarity with modern engineering productivity tooling and/or AI-assisted development concepts is a plus. Education Required: Bachelor's Degree Additional Information : Remote Position V2Soft is an Equal Opportunity Employer ( EOE). We welcome applicants from all backgrounds, including individuals with disabilities and veterans. - to view all of our open opportunities and to learn more about our benefits.
Senior Java Engineer Career Opportunity We are currently seeking a dynamic individual with high energy and drive to join our Workforce Management (WFM) software development team as a Senior Software Engineer. This engineer will primarily focus on server-side component design, development, testing, and implementation. Experience with client-side development is a plus. This engineer will work in an agile development environment and follow agile processes and practices. As part of our AI-forward engineering culture, this role also takes ownership of the AI development environment including coding agents, tools, workflows, and infrastructure to maximize engineering velocity, quality, and consistency. Senior Java Engineer Role and Responsibilities Design and develop quality, proficient, and well-documented technical solutions that satisfy business requirements and meet corporate architectural standards. Own and continuously improve the AI development environment including coding agents, tools, workflows, and infrastructure to maximize engineering velocity, quality, and consistency. Design, build, and optimize coding agents, prompts, and workflows. Define and maintain instructions, skills, plugins, and tool integrations. Connect tools into a cohesive agentic development pipeline. Enable Spec-Driven Development using AI (from idea to spec to implementation to validation). Develop solid unit, integration, and automation tests according to organizational standards. Assist in troubleshooting and maintenance of existing software applications; identify and implement additional improvements when warranted; work with external stakeholders as needed. Develop technical models/designs for assigned components. Contribute to and drive technological and architectural decisions. Participate in reviewing design and code for other team members. Gets team to a high-performing level by recognizing areas of strength and improvement and employing appropriate coaching and development techniques. Works with Scrum Team, as well as internal and external stakeholders, to influence and drive decision-making and support organizational project or product teams. Contributes to the advancement and improvement of Agile practices within the organization. Senior Java Engineer Experience and Requirements Minimum 8 years of Java web application development experience. Deep interest and hands-on experience with AI coding tools and LLM-based systems. Experience working with agents, prompts, MCP/tools, or similar ecosystems. Comfortable working at low-level detail including tokens, context windows, latency, and tool orchestration. Expertise in server-side development using Hibernate, Spring, Web Services (REST) in Java including server-side testing using JUnit, Mockito/EasyMock. Experience in web application development using Angular, HTML5, CSS, jQuery, JavaScript, Spring MVC, and in Unit/E2E testing with Cucumber, Selenium, Playwright is a huge plus. Experience with AI-assisted development tools (GitHub Copilot, ChatGPT, Claude, or similar) and ability to effectively integrate generative AI into the software development lifecycle for code generation, debugging, and optimization. Good to have experience in "Vibe Coding" methodologies including rapid prototyping, iterative development, and creative problem-solving approaches that leverage AI assistance to accelerate development velocity. Proven track record of driving technical innovation within development teams, including evaluation and adoption of emerging technologies, process improvements, and mentoring others on cutting-edge development practices. Experience with AWS is a plus. Demonstrated experience with multi-tier web application development. Hands-on experience with Continuous Integration and Test-Driven Development. Experience with JBoss or Tomcat. Prior experience with MAVEN and Jenkins is a plus. Good knowledge of Scrum techniques and artifacts (such as definition of done, user stories, automated testing, backlog refinement). Undergraduate degree in Computer Science, Engineering, or a related subject. Senior Java Engineer Desired Personal Attributes Excellent communication and interpersonal skills. Self-motivated and flexible. Demonstrates resilience and adaptability when working within organizational constraints, legacy systems, or established processes that cannot be immediately changed. Shows ability to find creative solutions and deliver value within existing limitations while building consensus for future improvements. Superior analytical and problem-solving abilities. Maintains a positive attitude and constructive approach when faced with bureaucratic processes, technical debt, or resistance to change. Leads, collaborates, and coordinates with others to ensure significant results. Detail-oriented with excellent organizational skills.
04/23/2026
Full time
Senior Java Engineer Career Opportunity We are currently seeking a dynamic individual with high energy and drive to join our Workforce Management (WFM) software development team as a Senior Software Engineer. This engineer will primarily focus on server-side component design, development, testing, and implementation. Experience with client-side development is a plus. This engineer will work in an agile development environment and follow agile processes and practices. As part of our AI-forward engineering culture, this role also takes ownership of the AI development environment including coding agents, tools, workflows, and infrastructure to maximize engineering velocity, quality, and consistency. Senior Java Engineer Role and Responsibilities Design and develop quality, proficient, and well-documented technical solutions that satisfy business requirements and meet corporate architectural standards. Own and continuously improve the AI development environment including coding agents, tools, workflows, and infrastructure to maximize engineering velocity, quality, and consistency. Design, build, and optimize coding agents, prompts, and workflows. Define and maintain instructions, skills, plugins, and tool integrations. Connect tools into a cohesive agentic development pipeline. Enable Spec-Driven Development using AI (from idea to spec to implementation to validation). Develop solid unit, integration, and automation tests according to organizational standards. Assist in troubleshooting and maintenance of existing software applications; identify and implement additional improvements when warranted; work with external stakeholders as needed. Develop technical models/designs for assigned components. Contribute to and drive technological and architectural decisions. Participate in reviewing design and code for other team members. Gets team to a high-performing level by recognizing areas of strength and improvement and employing appropriate coaching and development techniques. Works with Scrum Team, as well as internal and external stakeholders, to influence and drive decision-making and support organizational project or product teams. Contributes to the advancement and improvement of Agile practices within the organization. Senior Java Engineer Experience and Requirements Minimum 8 years of Java web application development experience. Deep interest and hands-on experience with AI coding tools and LLM-based systems. Experience working with agents, prompts, MCP/tools, or similar ecosystems. Comfortable working at low-level detail including tokens, context windows, latency, and tool orchestration. Expertise in server-side development using Hibernate, Spring, Web Services (REST) in Java including server-side testing using JUnit, Mockito/EasyMock. Experience in web application development using Angular, HTML5, CSS, jQuery, JavaScript, Spring MVC, and in Unit/E2E testing with Cucumber, Selenium, Playwright is a huge plus. Experience with AI-assisted development tools (GitHub Copilot, ChatGPT, Claude, or similar) and ability to effectively integrate generative AI into the software development lifecycle for code generation, debugging, and optimization. Good to have experience in "Vibe Coding" methodologies including rapid prototyping, iterative development, and creative problem-solving approaches that leverage AI assistance to accelerate development velocity. Proven track record of driving technical innovation within development teams, including evaluation and adoption of emerging technologies, process improvements, and mentoring others on cutting-edge development practices. Experience with AWS is a plus. Demonstrated experience with multi-tier web application development. Hands-on experience with Continuous Integration and Test-Driven Development. Experience with JBoss or Tomcat. Prior experience with MAVEN and Jenkins is a plus. Good knowledge of Scrum techniques and artifacts (such as definition of done, user stories, automated testing, backlog refinement). Undergraduate degree in Computer Science, Engineering, or a related subject. Senior Java Engineer Desired Personal Attributes Excellent communication and interpersonal skills. Self-motivated and flexible. Demonstrates resilience and adaptability when working within organizational constraints, legacy systems, or established processes that cannot be immediately changed. Shows ability to find creative solutions and deliver value within existing limitations while building consensus for future improvements. Superior analytical and problem-solving abilities. Maintains a positive attitude and constructive approach when faced with bureaucratic processes, technical debt, or resistance to change. Leads, collaborates, and coordinates with others to ensure significant results. Detail-oriented with excellent organizational skills.
Job DescriptionJob Description (ID: ) Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH). Benefits We Offer: 100% Medical, Dental & Vision Coverage for Employees Paid Time Off and Paid Holidays 401K match up to 5% Educational Benefits for Career Growth Employee Referral Bonus Flexible Spending Accounts: Healthcare (FSA) Parking Reimbursement Account (PRK) Dependent Care Assistant Program (DCAP) Transportation Reimbursement Account (TRN) Role Summary Axle is seeking an AI Engineer II with experience designing and delivering production AI systems to lead the development of intelligent applications that support translational research and scientific operations. This role involves architecting retrieval-augmented generation (RAG) systems, agentic pipelines, document understanding workflows, and the shared platform services that make these systems reliable and reusable. A significant portion of this role involves working directly with clients - scientists, program managers, and operational staff - who understand the problem domain but may not have a technical background. You will partner with them to elicit requirements, translate domain needs into well-defined technical solutions, and ensure delivered software meets their real-world needs. The role requires a self-directed engineer who can make sound architectural decisions, take ownership of technical components end-to-end, mentor junior team members, and deliver iteratively while managing client relationships and expectations. Key Responsibilities Architect, develop, and maintain AI-powered applications in Python, including conversational assistants, agentic tools, and retrieval-augmented generation (RAG) systems. Design and optimize retrieval pipelines: embedding generation, vector search, hybrid search, and reranking against large domain-specific corpora. Build document ingestion and parsing pipelines that extract structured content (text, tables, figures, citations) from scientific and technical documents for downstream use by AI systems. Integrate structured knowledge - ontologies, controlled vocabularies, and knowledge graphs - with unstructured text to produce evidence-grounded, provenance-aware AI outputs. Develop and operate shared platform services that accelerate delivery of new AI applications: model gateways, agent-tool integrations, authentication, API key management, and observability. Lead technical design decisions and establish best practices for code quality, testing, evaluation, and deployment of AI systems. Provision, deploy, monitor, and troubleshoot services on Kubernetes and cloud infrastructure, including container builds, manifests, and CI/CD pipelines. Design and maintain relational and vector databases, including schema design, indexing, migrations, and incremental data updates. Define and track quality metrics for AI systems (retrieval quality, answer faithfulness, latency, cost) and drive measurable improvements over time. Engage directly with non-technical clients to gather requirements, clarify goals, manage expectations, and validate that delivered solutions align with their objectives. Translate high-level client and mission needs into actionable technical specifications and development plans. Mentor junior engineers and contribute to a culture of technical excellence. Participate in and help facilitate standups, sprint planning, and cross-team review meetings across multiple project streams. Required Skills & Qualifications 5+ years of professional experience in software development, with recent hands-on work building AI or ML-powered applications. Strong proficiency in Python for application development, scripting, and tooling. Demonstrated experience building retrieval-augmented generation (RAG) systems, including embeddings, vector search, and reranking. Experience integrating large language models (LLMs) into production applications using modern agent or orchestration frameworks. Experience with vector databases and semantic search. Demonstrated experience making architectural decisions and owning technical direction for software projects. Experience with Docker, containerization workflows, and Kubernetes for deploying and operating production services. Experience with PostgreSQL and relational database design. Strong command of Linux development environments. Experience with Git/GitHub workflows, including branching, pull requests, and code review practices. Proven ability to work independently, prioritize across concurrent workstreams, and drive projects to completion with minimal oversight. Preferred Qualifications Experience with document parsing, OCR, and layout-aware extraction for scientific or technical documents. Familiarity with knowledge graphs, ontologies, and controlled vocabularies, including RDF, SPARQL, or graph query languages. Experience with agent-tool integration frameworks, including the Model Context Protocol (MCP). Experience with LLM observability, tracing, and evaluation tooling. Experience with GPU computing (CUDA/NVIDIA) for embedding or inference workloads. Experience with AWS (IAM, S3, deployment, general infrastructure management). Familiarity with OIDC/OAuth authentication and API key management in production systems. Background in biomedical informatics, translational research, or health sciences. Experience with AI-assisted development tools (e.g., Claude Code, GitHub Copilot). Familiarity with Jira or similar project management tools. Interpersonal Skills Strong written and verbal communication skills, including the ability to convey technical concepts to non-technical collaborators and translate domain expertise into software requirements. Skilled at requirements elicitation - able to ask the right questions, listen actively, and bridge the gap between what subject matter experts need and what engineering can deliver. Ability to work effectively across multiple teams and project streams with different leads, priorities, and cadences. Comfortable operating in a large, cross-functional team environment where coordination and alignment are essential. Proactive in communicating progress, raising blockers, and seeking input from teammates and stakeholders. Tactful and professional when engaging with clients and external partners; able to navigate sensitive situations and escalate appropriately. Receptive to feedback and committed to iterative improvement. Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed. The diversity of Axle's employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate. Accessibility: If you need an accommodation as part of the employment process please contact: This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location. Salary Range$120,000-$150,000 USD
04/23/2026
Full time
Job DescriptionJob Description (ID: ) Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH). Benefits We Offer: 100% Medical, Dental & Vision Coverage for Employees Paid Time Off and Paid Holidays 401K match up to 5% Educational Benefits for Career Growth Employee Referral Bonus Flexible Spending Accounts: Healthcare (FSA) Parking Reimbursement Account (PRK) Dependent Care Assistant Program (DCAP) Transportation Reimbursement Account (TRN) Role Summary Axle is seeking an AI Engineer II with experience designing and delivering production AI systems to lead the development of intelligent applications that support translational research and scientific operations. This role involves architecting retrieval-augmented generation (RAG) systems, agentic pipelines, document understanding workflows, and the shared platform services that make these systems reliable and reusable. A significant portion of this role involves working directly with clients - scientists, program managers, and operational staff - who understand the problem domain but may not have a technical background. You will partner with them to elicit requirements, translate domain needs into well-defined technical solutions, and ensure delivered software meets their real-world needs. The role requires a self-directed engineer who can make sound architectural decisions, take ownership of technical components end-to-end, mentor junior team members, and deliver iteratively while managing client relationships and expectations. Key Responsibilities Architect, develop, and maintain AI-powered applications in Python, including conversational assistants, agentic tools, and retrieval-augmented generation (RAG) systems. Design and optimize retrieval pipelines: embedding generation, vector search, hybrid search, and reranking against large domain-specific corpora. Build document ingestion and parsing pipelines that extract structured content (text, tables, figures, citations) from scientific and technical documents for downstream use by AI systems. Integrate structured knowledge - ontologies, controlled vocabularies, and knowledge graphs - with unstructured text to produce evidence-grounded, provenance-aware AI outputs. Develop and operate shared platform services that accelerate delivery of new AI applications: model gateways, agent-tool integrations, authentication, API key management, and observability. Lead technical design decisions and establish best practices for code quality, testing, evaluation, and deployment of AI systems. Provision, deploy, monitor, and troubleshoot services on Kubernetes and cloud infrastructure, including container builds, manifests, and CI/CD pipelines. Design and maintain relational and vector databases, including schema design, indexing, migrations, and incremental data updates. Define and track quality metrics for AI systems (retrieval quality, answer faithfulness, latency, cost) and drive measurable improvements over time. Engage directly with non-technical clients to gather requirements, clarify goals, manage expectations, and validate that delivered solutions align with their objectives. Translate high-level client and mission needs into actionable technical specifications and development plans. Mentor junior engineers and contribute to a culture of technical excellence. Participate in and help facilitate standups, sprint planning, and cross-team review meetings across multiple project streams. Required Skills & Qualifications 5+ years of professional experience in software development, with recent hands-on work building AI or ML-powered applications. Strong proficiency in Python for application development, scripting, and tooling. Demonstrated experience building retrieval-augmented generation (RAG) systems, including embeddings, vector search, and reranking. Experience integrating large language models (LLMs) into production applications using modern agent or orchestration frameworks. Experience with vector databases and semantic search. Demonstrated experience making architectural decisions and owning technical direction for software projects. Experience with Docker, containerization workflows, and Kubernetes for deploying and operating production services. Experience with PostgreSQL and relational database design. Strong command of Linux development environments. Experience with Git/GitHub workflows, including branching, pull requests, and code review practices. Proven ability to work independently, prioritize across concurrent workstreams, and drive projects to completion with minimal oversight. Preferred Qualifications Experience with document parsing, OCR, and layout-aware extraction for scientific or technical documents. Familiarity with knowledge graphs, ontologies, and controlled vocabularies, including RDF, SPARQL, or graph query languages. Experience with agent-tool integration frameworks, including the Model Context Protocol (MCP). Experience with LLM observability, tracing, and evaluation tooling. Experience with GPU computing (CUDA/NVIDIA) for embedding or inference workloads. Experience with AWS (IAM, S3, deployment, general infrastructure management). Familiarity with OIDC/OAuth authentication and API key management in production systems. Background in biomedical informatics, translational research, or health sciences. Experience with AI-assisted development tools (e.g., Claude Code, GitHub Copilot). Familiarity with Jira or similar project management tools. Interpersonal Skills Strong written and verbal communication skills, including the ability to convey technical concepts to non-technical collaborators and translate domain expertise into software requirements. Skilled at requirements elicitation - able to ask the right questions, listen actively, and bridge the gap between what subject matter experts need and what engineering can deliver. Ability to work effectively across multiple teams and project streams with different leads, priorities, and cadences. Comfortable operating in a large, cross-functional team environment where coordination and alignment are essential. Proactive in communicating progress, raising blockers, and seeking input from teammates and stakeholders. Tactful and professional when engaging with clients and external partners; able to navigate sensitive situations and escalate appropriately. Receptive to feedback and committed to iterative improvement. Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed. The diversity of Axle's employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate. Accessibility: If you need an accommodation as part of the employment process please contact: This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location. Salary Range$120,000-$150,000 USD
Job DescriptionJob DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy - a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Senior AI Engineer to join our Applied AI organization, a team purpose-built to rebuild how the company operates from an AI-first perspective. You will be the builder at the heart of this transformation, designing and shipping AI-powered tools and automation pipelines that replace manual, repetitive work across finance, operations, revenue, and beyond. This is a hands-on engineering role with enormous scope: you will own systems end-to-end, from the LLM prompt layer through to production deployment, working side-by-side with Process Analysts who understand the business deeply. If you want to see your work directly change how a company functions - not someday, but now - this is the role. What you'll do Design, build, and ship AI-powered automation tools and internal applications that transform manual business processes into AI-first workflows Architect and maintain LLM-based systems, including prompt pipelines, agentic workflows, tool-calling integrations, and retrieval-augmented generation (RAG) setups Build and maintain data pipelines that connect source systems (Snowflake, internal APIs, SaaS tools) to AI workflows, ensuring data quality and reliability Partner with Process Analysts to understand how business functions work today, translate requirements into engineering specifications, and iterate based on real user feedback Own production reliability for the systems you build - monitoring, alerting, and iterating on AI outputs to maintain quality over time Evaluate and integrate emerging AI tooling (models, frameworks, APIs) to ensure Metropolis is always leveraging the best available capabilities Contribute to internal standards for AI development: prompt management, evaluation frameworks, model selection, and system architecture What we're looking for 6+ years of software engineering experience, with 2+ years of hands-on experience designing, building, and deploying LLM-based or AI-powered applications in production Strong Python skills - you write clean, maintainable code and are comfortable building APIs, data pipelines, and backend services Practical experience with LLM APIs (OpenAI, Anthropic, or similar), prompt engineering, and agentic patterns (function calling, multi-step reasoning, tool use) Familiarity with data engineering fundamentals: SQL, data transformation, working with cloud data warehouses (Snowflake preferred) Experience with workflow orchestration tools (e.g., Airflow, Prefect, or similar) and cloud infrastructure (AWS preferred) A strong instinct for product quality - you care about whether the tools you build are actually useful, not just technically functional Ability to work autonomously in a fast-moving environment, manage competing priorities, and ship iteratively rather than waiting for perfection While not required, these are a plus: Experience with vector databases, embeddings, or semantic search is a plus Our Stack Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited) Datastores: MySQL, PostgreSQL, Snowflake Cloud: AWS Version control: Git & GitHub AI Tooling: Copilot on GitHub and Claude Code Observability: Datadog 4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 USD to $200,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
04/23/2026
Full time
Job DescriptionJob DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy - a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Senior AI Engineer to join our Applied AI organization, a team purpose-built to rebuild how the company operates from an AI-first perspective. You will be the builder at the heart of this transformation, designing and shipping AI-powered tools and automation pipelines that replace manual, repetitive work across finance, operations, revenue, and beyond. This is a hands-on engineering role with enormous scope: you will own systems end-to-end, from the LLM prompt layer through to production deployment, working side-by-side with Process Analysts who understand the business deeply. If you want to see your work directly change how a company functions - not someday, but now - this is the role. What you'll do Design, build, and ship AI-powered automation tools and internal applications that transform manual business processes into AI-first workflows Architect and maintain LLM-based systems, including prompt pipelines, agentic workflows, tool-calling integrations, and retrieval-augmented generation (RAG) setups Build and maintain data pipelines that connect source systems (Snowflake, internal APIs, SaaS tools) to AI workflows, ensuring data quality and reliability Partner with Process Analysts to understand how business functions work today, translate requirements into engineering specifications, and iterate based on real user feedback Own production reliability for the systems you build - monitoring, alerting, and iterating on AI outputs to maintain quality over time Evaluate and integrate emerging AI tooling (models, frameworks, APIs) to ensure Metropolis is always leveraging the best available capabilities Contribute to internal standards for AI development: prompt management, evaluation frameworks, model selection, and system architecture What we're looking for 6+ years of software engineering experience, with 2+ years of hands-on experience designing, building, and deploying LLM-based or AI-powered applications in production Strong Python skills - you write clean, maintainable code and are comfortable building APIs, data pipelines, and backend services Practical experience with LLM APIs (OpenAI, Anthropic, or similar), prompt engineering, and agentic patterns (function calling, multi-step reasoning, tool use) Familiarity with data engineering fundamentals: SQL, data transformation, working with cloud data warehouses (Snowflake preferred) Experience with workflow orchestration tools (e.g., Airflow, Prefect, or similar) and cloud infrastructure (AWS preferred) A strong instinct for product quality - you care about whether the tools you build are actually useful, not just technically functional Ability to work autonomously in a fast-moving environment, manage competing priorities, and ship iteratively rather than waiting for perfection While not required, these are a plus: Experience with vector databases, embeddings, or semantic search is a plus Our Stack Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited) Datastores: MySQL, PostgreSQL, Snowflake Cloud: AWS Version control: Git & GitHub AI Tooling: Copilot on GitHub and Claude Code Observability: Datadog 4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 USD to $200,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
Educational Testing Service (ETS)
Princeton, New Jersey
Job DescriptionJob DescriptionAbout ETS: ETS is a global education and talent solutions organization enabling lifelong learners worldwide to be future-ready. For more than 75 years, we've been advancing the science of measurement to build benchmarks for fair and valid skill assessment across cultures and borders. Our worldwide impact extends through our renowned assessments including TOEFL , TOEIC , GRE and Praxis tests, serving millions of learners in more than 200 countries and territories. Through strategic acquisitions, we've expanded our global capabilities: PSI strengthens our workforce assessment solutions, while Edusoft, Kira Talent, Pipplet, Vericant, and Wheebox enhance our educational technology and assessment platforms across critical markets worldwide. Through ETS Research Institute and ETS Solutions, we're partnering with educational institutions, governments, and organizations globally to promote skill proficiency, empower upward mobility, and unlock opportunities for everyone, everywhere. With offices and partners across Asia, Europe, the Middle East, Africa, and the Americas, we deliver nearly 50 million tests annually. Join us in our journey of measuring progress to power human progress worldwide. POSITION SUMMARY: The Digital Workplace AI Engineer/Developer leads the design and implementation of enterprise AI copilots and intelligent agents that simplify and accelerate work across the organization. This role builds agentic systems that automate workflows, integrate deeply with Microsoft and Anthropic AI ecosystems-including Microsoft 365, Power Platform, and Claude AI-and securely connect to internal and third party services. The ideal candidate translates business needs into scalable, production grade AI solutions while promoting strong engineering and responsible AI standards. Working closely with partners across technology, product management, security, and legal teams, the engineer/developer ensures solutions align with company policies and enables efficient, compliant use of AI. Key responsibilities include solution architecture and technical configuration, user enablement and support, change management, training, and continuous optimization of AI-powered experiences. This position partners with IT, HR, finance, compliance, and business leaders to ensure secure, ethical, and effective adoption of AI. We seek an AI expert who can lead operational, engineering, and security enablement across both Microsoft and Anthropic platforms, ensuring AI-driven productivity tools are impactful, trustworthy, and scalable. If you are passionate about driving AI transformation in the digital workplace, this role is for you. PRIMARY RESPONSIBILITIES: • Architect, develop, and deploy intelligent agents, copilot experiences, claude solutions that automate tasks, support decision-making, and improve end-user productivity. • Design agent workflows, tool use, and orchestration patterns to enable reliable, multi-step automation (including error handling, observability, and guardrails). • Integrate solutions across Microsoft 365 (Teams, SharePoint, Outlook), Power Platform (Power Apps, Power Automate, Power Virtual Agents), Claude AI (from Anthropic) to deliver AI-enabled automation at scale. • Build and maintain secure, production-ready integrations with enterprise systems and third-party services via RESTful APIs and event-driven patterns. • Partner with product, UX, and engineering stakeholders in an agile environment-contributing to planning, estimation, reviews, and iterative delivery. • Champion quality and operational excellence through testing, CI/CD, performance tuning, documentation, and continuous improvements informed by telemetry and user feedback. • Implement, monitor and provide continuous improvement of digital workplace technologies (Microsoft 365 services and collaboration services) • Work with IT and business stakeholders to document and refine Copilot use cases across departments (e.g., customer service, legal, HR). Monitor adoption metrics and KPIs using Copilot dashboards and analytics tools. • Maintain Copilot Studio agents and connectors for integration with internal data sources and workflows. Develop prompt libraries and role-specific templates to boost user productivity. ? Act as an expert on Copilot capabilities, offering guidance and support to end users. Assist and Oversee a Center of Excellence to ensure end users and Copilot Champions have access to current information. • Collaborate with engineering teams to enhance Copilot performance and address technical issues. Develop and enforce data protection policies, including access controls, prompt injection defenses, and content filtering. • Ensure adherence to enterprise security standards and regulatory requirements (e.g., SOC 2, GDPR). Maintain ethical standards and comply with all applicable laws and regulations relevant to your job function. • Conduct enablement sessions, create best practices documentation for responsible AI usage, and stay updated with Microsoft Copilot changes and AI trends. Collaborate with service delivery partners to manage and secure digital workplace technologies. • Stay informed about emerging technology trends and identify opportunities to enhance continuous improvement initiatives. Collaborate with architecture teams to contribute to the technology roadmap. Lead and participate in technology proof of concepts (POCs) and pilot projects. Oversee the planning and implementation of new or upgraded technology services. KNOWLEDGE/SKILLS: • Education: Bachelor's degree in computer science, Software Engineering, or a related field (or equivalent practical experience). • Experience: 8+ years of professional software development experience, ideally delivering enterprise productivity, collaboration, or workflow automation solutions. • LLM and AI experience: Experience designing and evaluating LLM-powered conversational experiences, including prompt and tool design, retrieval-augmented generation (RAG), and response quality measurement. • Microsoft 365 and Power Platform: Strong hands-on experience across Microsoft 365 and Power Platform (Power Apps, Power Automate, Power BI, Power Virtual Agents), building and deploying production solutions. • Proven experience supporting Microsoft 365 Copilot, including the Researcher agent and Copilot Studio, with the ability to configure, govern, and operate Copilot solutions in an enterprise tenant environment. • Hands?on experience enabling and using Anthropic' s Claude models (including within Microsoft 365 Copilot), understanding tenant?level enablement, data?handling implications, and multi?model AI support. • AI Engineering: Proven experience building AI-powered applications, bots, copilots, or agentic workflows; strong proficiency in at least one modern language (e.g., Python or C#) and experience with AI frameworks and/or APIs. • Integrations: Deep understanding of web services and integration patterns, including RESTful APIs, authentication/authorization, and secure data handling. • Delivery and Operations: Experience with agile methodologies (Scrum/Kanban) and CI/CD; ability to ship iteratively while maintaining reliability, security, and maintainability. EDUCATION AND EXPERIENCE: • Advanced education: Master's degree in computer science or a related field (preferred) • EdTech exposure: Experience in educational technology environments or projects, translating learning and administrative needs into practical automation and assistant experiences. • Technical leadership: Demonstrated leadership through architecture ownership, mentoring, and raising engineering standards across a team. • Communication: Excellent written and verbal communication skills, with the ability to explain technical concepts clearly and collaborate effectively across functions. • Customer Focused: Keeps the employee experience at the forefront when participating in pilots, during incident escalation and resolution, and all aspects of service delivery. ETS is mission driven and action oriented We are passionate about hiring innovative thinkers who believe in the promise of education and lifelong learning. We are energized by cultivating growth, innovation, and continuous transformation for the next generation of rising professionals as leaders. In support of this ETS offers multiple Business Resource Groups (BRG) for you to learn and advance your career growth! As a not-for-profit organization we will encourage you to lean in to your passion for volunteering. At ETS you may qualify for up to an additional 8 hours of PTO for volunteer work on causes that are important to you! The base salary range advertised represents the low and high end of the anticipated salary range for this position. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. The base pay is only one aspect of the Total Rewards Package that will be offered to the successful candidate. Salary Range: $132,000 - $142,000 ETS is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, gender identity, or any other characteristic protected by law. We believe in creating a work environment where all individuals are treated with respect and dignity.
04/23/2026
Full time
Job DescriptionJob DescriptionAbout ETS: ETS is a global education and talent solutions organization enabling lifelong learners worldwide to be future-ready. For more than 75 years, we've been advancing the science of measurement to build benchmarks for fair and valid skill assessment across cultures and borders. Our worldwide impact extends through our renowned assessments including TOEFL , TOEIC , GRE and Praxis tests, serving millions of learners in more than 200 countries and territories. Through strategic acquisitions, we've expanded our global capabilities: PSI strengthens our workforce assessment solutions, while Edusoft, Kira Talent, Pipplet, Vericant, and Wheebox enhance our educational technology and assessment platforms across critical markets worldwide. Through ETS Research Institute and ETS Solutions, we're partnering with educational institutions, governments, and organizations globally to promote skill proficiency, empower upward mobility, and unlock opportunities for everyone, everywhere. With offices and partners across Asia, Europe, the Middle East, Africa, and the Americas, we deliver nearly 50 million tests annually. Join us in our journey of measuring progress to power human progress worldwide. POSITION SUMMARY: The Digital Workplace AI Engineer/Developer leads the design and implementation of enterprise AI copilots and intelligent agents that simplify and accelerate work across the organization. This role builds agentic systems that automate workflows, integrate deeply with Microsoft and Anthropic AI ecosystems-including Microsoft 365, Power Platform, and Claude AI-and securely connect to internal and third party services. The ideal candidate translates business needs into scalable, production grade AI solutions while promoting strong engineering and responsible AI standards. Working closely with partners across technology, product management, security, and legal teams, the engineer/developer ensures solutions align with company policies and enables efficient, compliant use of AI. Key responsibilities include solution architecture and technical configuration, user enablement and support, change management, training, and continuous optimization of AI-powered experiences. This position partners with IT, HR, finance, compliance, and business leaders to ensure secure, ethical, and effective adoption of AI. We seek an AI expert who can lead operational, engineering, and security enablement across both Microsoft and Anthropic platforms, ensuring AI-driven productivity tools are impactful, trustworthy, and scalable. If you are passionate about driving AI transformation in the digital workplace, this role is for you. PRIMARY RESPONSIBILITIES: • Architect, develop, and deploy intelligent agents, copilot experiences, claude solutions that automate tasks, support decision-making, and improve end-user productivity. • Design agent workflows, tool use, and orchestration patterns to enable reliable, multi-step automation (including error handling, observability, and guardrails). • Integrate solutions across Microsoft 365 (Teams, SharePoint, Outlook), Power Platform (Power Apps, Power Automate, Power Virtual Agents), Claude AI (from Anthropic) to deliver AI-enabled automation at scale. • Build and maintain secure, production-ready integrations with enterprise systems and third-party services via RESTful APIs and event-driven patterns. • Partner with product, UX, and engineering stakeholders in an agile environment-contributing to planning, estimation, reviews, and iterative delivery. • Champion quality and operational excellence through testing, CI/CD, performance tuning, documentation, and continuous improvements informed by telemetry and user feedback. • Implement, monitor and provide continuous improvement of digital workplace technologies (Microsoft 365 services and collaboration services) • Work with IT and business stakeholders to document and refine Copilot use cases across departments (e.g., customer service, legal, HR). Monitor adoption metrics and KPIs using Copilot dashboards and analytics tools. • Maintain Copilot Studio agents and connectors for integration with internal data sources and workflows. Develop prompt libraries and role-specific templates to boost user productivity. ? Act as an expert on Copilot capabilities, offering guidance and support to end users. Assist and Oversee a Center of Excellence to ensure end users and Copilot Champions have access to current information. • Collaborate with engineering teams to enhance Copilot performance and address technical issues. Develop and enforce data protection policies, including access controls, prompt injection defenses, and content filtering. • Ensure adherence to enterprise security standards and regulatory requirements (e.g., SOC 2, GDPR). Maintain ethical standards and comply with all applicable laws and regulations relevant to your job function. • Conduct enablement sessions, create best practices documentation for responsible AI usage, and stay updated with Microsoft Copilot changes and AI trends. Collaborate with service delivery partners to manage and secure digital workplace technologies. • Stay informed about emerging technology trends and identify opportunities to enhance continuous improvement initiatives. Collaborate with architecture teams to contribute to the technology roadmap. Lead and participate in technology proof of concepts (POCs) and pilot projects. Oversee the planning and implementation of new or upgraded technology services. KNOWLEDGE/SKILLS: • Education: Bachelor's degree in computer science, Software Engineering, or a related field (or equivalent practical experience). • Experience: 8+ years of professional software development experience, ideally delivering enterprise productivity, collaboration, or workflow automation solutions. • LLM and AI experience: Experience designing and evaluating LLM-powered conversational experiences, including prompt and tool design, retrieval-augmented generation (RAG), and response quality measurement. • Microsoft 365 and Power Platform: Strong hands-on experience across Microsoft 365 and Power Platform (Power Apps, Power Automate, Power BI, Power Virtual Agents), building and deploying production solutions. • Proven experience supporting Microsoft 365 Copilot, including the Researcher agent and Copilot Studio, with the ability to configure, govern, and operate Copilot solutions in an enterprise tenant environment. • Hands?on experience enabling and using Anthropic' s Claude models (including within Microsoft 365 Copilot), understanding tenant?level enablement, data?handling implications, and multi?model AI support. • AI Engineering: Proven experience building AI-powered applications, bots, copilots, or agentic workflows; strong proficiency in at least one modern language (e.g., Python or C#) and experience with AI frameworks and/or APIs. • Integrations: Deep understanding of web services and integration patterns, including RESTful APIs, authentication/authorization, and secure data handling. • Delivery and Operations: Experience with agile methodologies (Scrum/Kanban) and CI/CD; ability to ship iteratively while maintaining reliability, security, and maintainability. EDUCATION AND EXPERIENCE: • Advanced education: Master's degree in computer science or a related field (preferred) • EdTech exposure: Experience in educational technology environments or projects, translating learning and administrative needs into practical automation and assistant experiences. • Technical leadership: Demonstrated leadership through architecture ownership, mentoring, and raising engineering standards across a team. • Communication: Excellent written and verbal communication skills, with the ability to explain technical concepts clearly and collaborate effectively across functions. • Customer Focused: Keeps the employee experience at the forefront when participating in pilots, during incident escalation and resolution, and all aspects of service delivery. ETS is mission driven and action oriented We are passionate about hiring innovative thinkers who believe in the promise of education and lifelong learning. We are energized by cultivating growth, innovation, and continuous transformation for the next generation of rising professionals as leaders. In support of this ETS offers multiple Business Resource Groups (BRG) for you to learn and advance your career growth! As a not-for-profit organization we will encourage you to lean in to your passion for volunteering. At ETS you may qualify for up to an additional 8 hours of PTO for volunteer work on causes that are important to you! The base salary range advertised represents the low and high end of the anticipated salary range for this position. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. The base pay is only one aspect of the Total Rewards Package that will be offered to the successful candidate. Salary Range: $132,000 - $142,000 ETS is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, gender identity, or any other characteristic protected by law. We believe in creating a work environment where all individuals are treated with respect and dignity.
Job DescriptionJob DescriptionAt Kixie, we're on a mission to empower sales professionals with a powerful, all-in-one sales engagement platform. Our solution seamlessly integrates with CRMs to streamline workflows, increase efficiency, and drive better results. With features like automated outreach, real-time insights, and robust reporting, Kixie helps sales teams connect, communicate, and close deals faster than ever. Behind our cutting-edge product are the individuals who drive it forward. We pride ourselves on fostering a collaborative, innovative, and supportive environment, where every team member's contribution is an impact to our success! If you're someone who thrives on challenges, finds joy in solving meaningful problems, and seeks to help shape the future of sales engagement - Kixie is the place for you!About the Role As a Senior Software Engineer at Kixie, you will take end-to-end ownership of critical product subdomains - from architecture and design through implementation and production operations. You'll contribute to a modern, event-driven microservices platform built on Kubernetes and AWS, working across the full stack with a team that moves fast and ships high-quality software. This role requires strong technical judgment, the ability to lead initiatives across teams, and a mindset for building systems that are scalable, reliable, and observable by default. What You'll Do Take full ownership of key product subdomains - including Telephony, CRM Integrations, Billing, and Observability - driving architecture decisions and long-term technical direction. Design, build, and maintain full-stack applications using React, Node.js, TypeScript, PostgreSQL, Kafka, OpenSearch, Kubernetes, and AWS Services. - Build and evolve deep integrations with third-party CRM platforms including Salesforce, HubSpot, Pipedrive, Zoho, GoHighLevel, etc. Contribute to our event-sourcing, microservices-based architecture - designing resilient, fault-tolerant services that operate at scale. Leverage AI tooling and LLM-based systems to enhance product features and build enterprise-grade capabilities that meet strict SLA requirements. Help build and enhance our observability platform which captures both system stability and user behavior that feeds into our business intelligence and ai platform. Manage and improve our CI/CD and AWS EKS infrastructure using Terraform for cloud provisioning and Ansible for on-premise Kubernetes cluster management. Champion best practices, test automation, and code quality standards across the engineering organization. What We're Looking For 5+ years of professional software engineering experience, with demonstrated ownership of complex, production systems. Strong full-stack proficiency with React, Node.js, and TypeScript; solid understanding of relational databases (PostgreSQL), NoSQL databases, and data platforms (warehouses, lakes, or lakehouses). Experience with event-driven or event-sourcing architectures and distributed systems design. Deep familiarity with AWS and Kubernetes (EKS); experience with infrastructure-as-code tools such as Terraform or AWS CDK/CloudFormation. Hands-on experience with observability and monitoring tools such as Datadog, Grafana/Prometheus, or CloudWatch. Experience with CI/CD pipelines using tools like GitHub Actions, Jenkins, or Travis CI. Strong communication skills and the ability to lead technical initiatives, mentor peers, and influence architectural decisions across teams. A critical, systems-level thinker who can evaluate trade-offs, propose multiple solutions, and align stakeholders around the right path forward. Nice to Have Experience with telephony providers such as Twilio, Plivo, or similar VoIP/CPaaS platforms. Familiarity with CRM integration patterns and APIs (Salesforce, HubSpot, Pipedrive, Zoho, GoHighLevel). Experience building or working with AI/ML systems, RAG pipelines, or LLM orchestration frameworks. Benefits and Perks Comprehensive medical, dental, and vision insurance Unlimited paid time off (PTO), sick leave, and paid holidays Complimentary parking in our secure garage Pet-friendly office Opportunities for career growth and continuous learning A collaborative, dynamic, and supportive team environment The salary range for this role reflects total compensation potential and may vary based on experience, skills, and scope of impact. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
04/23/2026
Full time
Job DescriptionJob DescriptionAt Kixie, we're on a mission to empower sales professionals with a powerful, all-in-one sales engagement platform. Our solution seamlessly integrates with CRMs to streamline workflows, increase efficiency, and drive better results. With features like automated outreach, real-time insights, and robust reporting, Kixie helps sales teams connect, communicate, and close deals faster than ever. Behind our cutting-edge product are the individuals who drive it forward. We pride ourselves on fostering a collaborative, innovative, and supportive environment, where every team member's contribution is an impact to our success! If you're someone who thrives on challenges, finds joy in solving meaningful problems, and seeks to help shape the future of sales engagement - Kixie is the place for you!About the Role As a Senior Software Engineer at Kixie, you will take end-to-end ownership of critical product subdomains - from architecture and design through implementation and production operations. You'll contribute to a modern, event-driven microservices platform built on Kubernetes and AWS, working across the full stack with a team that moves fast and ships high-quality software. This role requires strong technical judgment, the ability to lead initiatives across teams, and a mindset for building systems that are scalable, reliable, and observable by default. What You'll Do Take full ownership of key product subdomains - including Telephony, CRM Integrations, Billing, and Observability - driving architecture decisions and long-term technical direction. Design, build, and maintain full-stack applications using React, Node.js, TypeScript, PostgreSQL, Kafka, OpenSearch, Kubernetes, and AWS Services. - Build and evolve deep integrations with third-party CRM platforms including Salesforce, HubSpot, Pipedrive, Zoho, GoHighLevel, etc. Contribute to our event-sourcing, microservices-based architecture - designing resilient, fault-tolerant services that operate at scale. Leverage AI tooling and LLM-based systems to enhance product features and build enterprise-grade capabilities that meet strict SLA requirements. Help build and enhance our observability platform which captures both system stability and user behavior that feeds into our business intelligence and ai platform. Manage and improve our CI/CD and AWS EKS infrastructure using Terraform for cloud provisioning and Ansible for on-premise Kubernetes cluster management. Champion best practices, test automation, and code quality standards across the engineering organization. What We're Looking For 5+ years of professional software engineering experience, with demonstrated ownership of complex, production systems. Strong full-stack proficiency with React, Node.js, and TypeScript; solid understanding of relational databases (PostgreSQL), NoSQL databases, and data platforms (warehouses, lakes, or lakehouses). Experience with event-driven or event-sourcing architectures and distributed systems design. Deep familiarity with AWS and Kubernetes (EKS); experience with infrastructure-as-code tools such as Terraform or AWS CDK/CloudFormation. Hands-on experience with observability and monitoring tools such as Datadog, Grafana/Prometheus, or CloudWatch. Experience with CI/CD pipelines using tools like GitHub Actions, Jenkins, or Travis CI. Strong communication skills and the ability to lead technical initiatives, mentor peers, and influence architectural decisions across teams. A critical, systems-level thinker who can evaluate trade-offs, propose multiple solutions, and align stakeholders around the right path forward. Nice to Have Experience with telephony providers such as Twilio, Plivo, or similar VoIP/CPaaS platforms. Familiarity with CRM integration patterns and APIs (Salesforce, HubSpot, Pipedrive, Zoho, GoHighLevel). Experience building or working with AI/ML systems, RAG pipelines, or LLM orchestration frameworks. Benefits and Perks Comprehensive medical, dental, and vision insurance Unlimited paid time off (PTO), sick leave, and paid holidays Complimentary parking in our secure garage Pet-friendly office Opportunities for career growth and continuous learning A collaborative, dynamic, and supportive team environment The salary range for this role reflects total compensation potential and may vary based on experience, skills, and scope of impact. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job DescriptionJob DescriptionAre you ready to join a growth-oriented team where creativity meets innovation? At Ware Malcomb, we are a dynamic and forward-thinking design firm committed to pushing the boundaries. Our team-oriented, collaborative approach ensures that every project is a blend of visionary design, seamless project delivery, and we are actively engaged with both the community and the industry. Discover our vibrant culture to get an inside look into life at Ware Malcomb and the programs we offer. As a Senior Software Engineer at Ware Malcomb, you'll join a multidisciplinary Digital Transformation (Dx) team building the next generation of digital tools for the AEC industry, and this role is ideal for someone who thrives at the intersection of software engineering, data, and user experience. You'll architect and deliver modern web applications using React, TypeScript, and Django while owning the AWS based cloud infrastructure that powers them through Terraform, Docker, Kubernetes, and GitHub Actions. You'll strengthen platform reliability with robust monitoring, logging, alerting, and security practices, and you'll lead Agile initiatives across design, development, CI/CD automation, and cross functional collaboration. You'll also mentor teammates and help shape WM's evolving digital ecosystem, including emerging cloud native and AI/ML capabilities. Your Role Lead the full software development lifecycle, including discovery, design, development, testing, deployment, and post launch support. Assume end to end ownership of platform reliability, performance, and security across all deployed solutions. Define application and platform architecture standards to ensure scalable, secure, and maintainable system design across Dx initiatives. Develop and maintain modern web applications using React, TypeScript, and Django for both internal workflow accelerators and client facing tools. Own and evolve the company's cloud native platform, including AWS infrastructure, Terraform IaC, CI/CD pipelines, container orchestration, cost optimization, and security standards. Build robust monitoring, logging, alerting, and observability systems to ensure uptime, stability, and proactive issue detection. Implement security best practices and ensure compliance with organizational policies and industry regulations. Translate complex architectural, operational, and design workflows into scalable digital solutions that reduce liability and improve operational efficiency. Collaborate with cross disciplinary teams across the AEC organization to align digital solutions with real world workflows and business needs. Partner with the Director of Digital Transformation on product strategy, roadmap prioritization, and technical feasibility decisions. Serve as the technical authority for the Dx team, guiding engineering standards, architectural decisions, and implementation strategies. Work effectively in an Agile environment, participating in sprint planning, code reviews, and iterative feature delivery. Mentor engineers and contribute to team growth in modern development practices, cloud engineering, and architectural thinking. Develop and maintain technical documentation, including architecture diagrams, deployment procedures, release notes, and training resources. Integrate emerging cloud native and AI/ML capabilities into platform and product initiatives where they add measurable value. Stay current with industry best practices in web development, cloud computing, DevOps, and AI/ML-and proactively recommend improvements to WM's digital ecosystem. Qualifications Bachelor's degree or higher in Computer Science, Software Engineering, or a related field (or equivalent professional experience). 5+ years of hands-on experience developing, deploying, and supporting full-stack applications in a production environment. Strong expertise in Python web frameworks (Django or Flask), RESTful APIs, SQL databases, Git, React.ts and HTML/CSS. Proficiency in Docker and Kubernetes for containerization and container orchestration. Experience with the Helm templating language is optional but nice to have. Strong experience building DevOps CI/CD pipelines for continuous delivery and reliability. Demonstrated experience designing and scaling production-grade distributed systems. Experience deploying applications to cloud platforms (AWS, GCP, or Azure). Experience with infrastructure-as-code (IaC) frameworks like Terraform is nice to have. Excellent problem-solving skills, analytical thinking, with the abilities to diagnose and resolve complex infrastructure and application issues related to deployments and architect solutions creatively and pragmatically Strong communication and collaboration abilities, with comfort working across technical and non-technical groups. Demonstrated passion for continuous learning, staying current with emerging technologies, and advancing AI-ready applications. Offer is contingent on the ability to pass a background check. The compensation range is $120k-$160k, plus benefits. Read more about Life at Ware Malcomb. The final agreed upon compensation is based on individual education, qualifications, experience, licensing, project specialty/complexity and work location. We may exceed the posted compensation range for candidates who surpass the posted requirements. At Ware Malcomb, certain roles are bonus eligible. This is a full-time, long-term position. Established in 1972, Ware Malcomb is a dynamic, forward-thinking commercial real estate design firm providing professional architecture, interior design, civil engineering, branding, building measurement, structural engineering and MEP engineering services to clients throughout the world. With office locations throughout the United States, Canada, Mexico and Brazil, the firm specializes in the design of office, industrial, science & technology, healthcare, multifamily, retail, hospitality and public/institutional projects. The firm is also ranked among the top 10 Architecture/Engineering firms in Engineering News-Record's Top 500 Design Firms and the Top 30 Interior Design Firms in Interior Design magazine's Top 100 Giants. For more information, visit .
04/23/2026
Full time
Job DescriptionJob DescriptionAre you ready to join a growth-oriented team where creativity meets innovation? At Ware Malcomb, we are a dynamic and forward-thinking design firm committed to pushing the boundaries. Our team-oriented, collaborative approach ensures that every project is a blend of visionary design, seamless project delivery, and we are actively engaged with both the community and the industry. Discover our vibrant culture to get an inside look into life at Ware Malcomb and the programs we offer. As a Senior Software Engineer at Ware Malcomb, you'll join a multidisciplinary Digital Transformation (Dx) team building the next generation of digital tools for the AEC industry, and this role is ideal for someone who thrives at the intersection of software engineering, data, and user experience. You'll architect and deliver modern web applications using React, TypeScript, and Django while owning the AWS based cloud infrastructure that powers them through Terraform, Docker, Kubernetes, and GitHub Actions. You'll strengthen platform reliability with robust monitoring, logging, alerting, and security practices, and you'll lead Agile initiatives across design, development, CI/CD automation, and cross functional collaboration. You'll also mentor teammates and help shape WM's evolving digital ecosystem, including emerging cloud native and AI/ML capabilities. Your Role Lead the full software development lifecycle, including discovery, design, development, testing, deployment, and post launch support. Assume end to end ownership of platform reliability, performance, and security across all deployed solutions. Define application and platform architecture standards to ensure scalable, secure, and maintainable system design across Dx initiatives. Develop and maintain modern web applications using React, TypeScript, and Django for both internal workflow accelerators and client facing tools. Own and evolve the company's cloud native platform, including AWS infrastructure, Terraform IaC, CI/CD pipelines, container orchestration, cost optimization, and security standards. Build robust monitoring, logging, alerting, and observability systems to ensure uptime, stability, and proactive issue detection. Implement security best practices and ensure compliance with organizational policies and industry regulations. Translate complex architectural, operational, and design workflows into scalable digital solutions that reduce liability and improve operational efficiency. Collaborate with cross disciplinary teams across the AEC organization to align digital solutions with real world workflows and business needs. Partner with the Director of Digital Transformation on product strategy, roadmap prioritization, and technical feasibility decisions. Serve as the technical authority for the Dx team, guiding engineering standards, architectural decisions, and implementation strategies. Work effectively in an Agile environment, participating in sprint planning, code reviews, and iterative feature delivery. Mentor engineers and contribute to team growth in modern development practices, cloud engineering, and architectural thinking. Develop and maintain technical documentation, including architecture diagrams, deployment procedures, release notes, and training resources. Integrate emerging cloud native and AI/ML capabilities into platform and product initiatives where they add measurable value. Stay current with industry best practices in web development, cloud computing, DevOps, and AI/ML-and proactively recommend improvements to WM's digital ecosystem. Qualifications Bachelor's degree or higher in Computer Science, Software Engineering, or a related field (or equivalent professional experience). 5+ years of hands-on experience developing, deploying, and supporting full-stack applications in a production environment. Strong expertise in Python web frameworks (Django or Flask), RESTful APIs, SQL databases, Git, React.ts and HTML/CSS. Proficiency in Docker and Kubernetes for containerization and container orchestration. Experience with the Helm templating language is optional but nice to have. Strong experience building DevOps CI/CD pipelines for continuous delivery and reliability. Demonstrated experience designing and scaling production-grade distributed systems. Experience deploying applications to cloud platforms (AWS, GCP, or Azure). Experience with infrastructure-as-code (IaC) frameworks like Terraform is nice to have. Excellent problem-solving skills, analytical thinking, with the abilities to diagnose and resolve complex infrastructure and application issues related to deployments and architect solutions creatively and pragmatically Strong communication and collaboration abilities, with comfort working across technical and non-technical groups. Demonstrated passion for continuous learning, staying current with emerging technologies, and advancing AI-ready applications. Offer is contingent on the ability to pass a background check. The compensation range is $120k-$160k, plus benefits. Read more about Life at Ware Malcomb. The final agreed upon compensation is based on individual education, qualifications, experience, licensing, project specialty/complexity and work location. We may exceed the posted compensation range for candidates who surpass the posted requirements. At Ware Malcomb, certain roles are bonus eligible. This is a full-time, long-term position. Established in 1972, Ware Malcomb is a dynamic, forward-thinking commercial real estate design firm providing professional architecture, interior design, civil engineering, branding, building measurement, structural engineering and MEP engineering services to clients throughout the world. With office locations throughout the United States, Canada, Mexico and Brazil, the firm specializes in the design of office, industrial, science & technology, healthcare, multifamily, retail, hospitality and public/institutional projects. The firm is also ranked among the top 10 Architecture/Engineering firms in Engineering News-Record's Top 500 Design Firms and the Top 30 Interior Design Firms in Interior Design magazine's Top 100 Giants. For more information, visit .
Job DescriptionJob DescriptionJob Description Senior Software Engineer - Agentic AI Platform Columbia, MD Full Time TS/SCI with Polygraph Required Position: Software Engineer (SWE3) Location: Columbia, MD (on-site) Category: Software Engineering / AI Systems / Agentic Platforms Clearance Requirement: Active TS/SCI with Polygraph Experience Requirement: 12+ years with a Bachelor's degree, OR 10+ years with a Master's degree, OR 4 additional years of relevant experience in lieu of a degree Description We are seeking a Senior Software Engineer to build and advance a cutting-edge agentic platform designed to power intelligent, autonomous workflows. In this role, you will integrate diverse data sources and external APIs with MCP tools to enable seamless, scalable system interoperability. You will collaborate closely with security analysts to translate operational challenges into effective technical solutions. The position involves hands-on development with agentic primitives such as skills, prompts, and subagents to create adaptive, context-aware capabilities. This is an opportunity to work at the forefront of AI-driven systems, shaping how agents operate, learn, and deliver impact in complex environments. Note: Four (4) openings are available for this role. Responsibilities Develop agentic integrations in Python that leverage multiple AI models, APIs, and data sources in production. Build tools and agentic workflows within modern frameworks such as PydanticAI, LangGraph, and DeepAgents. Work directly with key stakeholders and security analysts to understand operational workflows and identify high-impact automation opportunities. Design and implement real-time analytics pipelines in Python using Apache Kafka for stream processing and Elasticsearch for indexing and querying. Maintain and troubleshoot a production-grade agentic platform. Skills Requirements Software development experience with strong Python proficiency. Hands-on experience building and maintaining production applications serving hundreds to thousands of users. Understanding of AI development concepts, including prompt engineering, context management, structured outputs, and tool/function calling. Experience developing resilient, scalable stream processing applications using modern messaging and event-streaming platforms. Experience leveraging AI coding assistants for code generation, refactoring, debugging, and automation. Nice to Haves Experience with agentic workflows and multi-agent orchestration. Background in cybersecurity or understanding of security operations workflows. Managing deployments in AWS cloud with Kubernetes. GitLab CI/CD automation. Experience with retrieval systems (RAG, vector databases, semantic search). Analyzing cybersecurity-related datasets (network traffic, OS events). Compensation Employment Policy Salary is determined by multiple factors, including location, education, experience, skills, and organizational requirements. The projected compensation range for this position is $200,000 - $250,000 (annualized USD). Benefits Overview At Intezra, Inc., we offer a comprehensive benefits package designed to support long-term career growth and work-life balance: Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents 401(k): 15% company contribution (no match required) PTO: 160 hours, increasing with seniority 12 Floating Holidays 4 Code Red Days EEO Statement Intezra, Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. About Us Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years. , About Intezra, Inc. Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years.
04/23/2026
Full time
Job DescriptionJob DescriptionJob Description Senior Software Engineer - Agentic AI Platform Columbia, MD Full Time TS/SCI with Polygraph Required Position: Software Engineer (SWE3) Location: Columbia, MD (on-site) Category: Software Engineering / AI Systems / Agentic Platforms Clearance Requirement: Active TS/SCI with Polygraph Experience Requirement: 12+ years with a Bachelor's degree, OR 10+ years with a Master's degree, OR 4 additional years of relevant experience in lieu of a degree Description We are seeking a Senior Software Engineer to build and advance a cutting-edge agentic platform designed to power intelligent, autonomous workflows. In this role, you will integrate diverse data sources and external APIs with MCP tools to enable seamless, scalable system interoperability. You will collaborate closely with security analysts to translate operational challenges into effective technical solutions. The position involves hands-on development with agentic primitives such as skills, prompts, and subagents to create adaptive, context-aware capabilities. This is an opportunity to work at the forefront of AI-driven systems, shaping how agents operate, learn, and deliver impact in complex environments. Note: Four (4) openings are available for this role. Responsibilities Develop agentic integrations in Python that leverage multiple AI models, APIs, and data sources in production. Build tools and agentic workflows within modern frameworks such as PydanticAI, LangGraph, and DeepAgents. Work directly with key stakeholders and security analysts to understand operational workflows and identify high-impact automation opportunities. Design and implement real-time analytics pipelines in Python using Apache Kafka for stream processing and Elasticsearch for indexing and querying. Maintain and troubleshoot a production-grade agentic platform. Skills Requirements Software development experience with strong Python proficiency. Hands-on experience building and maintaining production applications serving hundreds to thousands of users. Understanding of AI development concepts, including prompt engineering, context management, structured outputs, and tool/function calling. Experience developing resilient, scalable stream processing applications using modern messaging and event-streaming platforms. Experience leveraging AI coding assistants for code generation, refactoring, debugging, and automation. Nice to Haves Experience with agentic workflows and multi-agent orchestration. Background in cybersecurity or understanding of security operations workflows. Managing deployments in AWS cloud with Kubernetes. GitLab CI/CD automation. Experience with retrieval systems (RAG, vector databases, semantic search). Analyzing cybersecurity-related datasets (network traffic, OS events). Compensation Employment Policy Salary is determined by multiple factors, including location, education, experience, skills, and organizational requirements. The projected compensation range for this position is $200,000 - $250,000 (annualized USD). Benefits Overview At Intezra, Inc., we offer a comprehensive benefits package designed to support long-term career growth and work-life balance: Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents 401(k): 15% company contribution (no match required) PTO: 160 hours, increasing with seniority 12 Floating Holidays 4 Code Red Days EEO Statement Intezra, Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. About Us Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years. , About Intezra, Inc. Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years.
Job DescriptionJob Description Brahma is a specialty recruitment firm representing an innovative start-up developing solutions to accelerate chip design. What You'll Do Build and optimize our full-stack developer platform for chip engineers using TypeScript/JavaScript, Python and modern frameworks. Integrate AI features in close collaboration with ML engineers, and make key systems & architectural decisions. Architect core developer workflows, including agentic environments, user experience & interface. Drive performance optimization for local deployment, indexing large codebases and managing database. Ship features rapidly, expect to make meaningful contributions every other day. Requirements: Education: BS/MS in Computer Science, Software Engineering, Mathematics or a related field. Core Skills: Proficiency in TypeScript, Python, and extensive full-stack experience. Comfort with at least one of these framework (e.g. Next.js, Express, Django, Rails). Technical Experience: Strong full-stack experience-designing RESTful APIs, working with relational or NoSQL databases. Familiarity with frontend component libraries and state management patterns. Proven track record of shipping features quickly and iterating fast based on feedback. Systems Knowledge: Comfortable in Linux environments, using virtual environments, Docker, and version control (Git) Experience setting up or maintaining CI/CD (GitHub Actions, Jenkins, etc.) Bonus: Previous experience working with dev tool/ coding agents at IDE-focused companies (e.g., Windsurf, Cursor), or high-growth startups, Big Tech or Quant. Competitive programming experience, Recognition at IMO, IOI, IPho etc. or published research. Exposure to cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes). Demonstrated ability to learn new technologies and frameworks on the fly.
04/23/2026
Full time
Job DescriptionJob Description Brahma is a specialty recruitment firm representing an innovative start-up developing solutions to accelerate chip design. What You'll Do Build and optimize our full-stack developer platform for chip engineers using TypeScript/JavaScript, Python and modern frameworks. Integrate AI features in close collaboration with ML engineers, and make key systems & architectural decisions. Architect core developer workflows, including agentic environments, user experience & interface. Drive performance optimization for local deployment, indexing large codebases and managing database. Ship features rapidly, expect to make meaningful contributions every other day. Requirements: Education: BS/MS in Computer Science, Software Engineering, Mathematics or a related field. Core Skills: Proficiency in TypeScript, Python, and extensive full-stack experience. Comfort with at least one of these framework (e.g. Next.js, Express, Django, Rails). Technical Experience: Strong full-stack experience-designing RESTful APIs, working with relational or NoSQL databases. Familiarity with frontend component libraries and state management patterns. Proven track record of shipping features quickly and iterating fast based on feedback. Systems Knowledge: Comfortable in Linux environments, using virtual environments, Docker, and version control (Git) Experience setting up or maintaining CI/CD (GitHub Actions, Jenkins, etc.) Bonus: Previous experience working with dev tool/ coding agents at IDE-focused companies (e.g., Windsurf, Cursor), or high-growth startups, Big Tech or Quant. Competitive programming experience, Recognition at IMO, IOI, IPho etc. or published research. Exposure to cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes). Demonstrated ability to learn new technologies and frameworks on the fly.