The Walt Disney Company (Corporate)
Orlando, Florida
Department Description: At Disney, we're storytellers. We make the impossible, possible. The Walt Disney Company (TWDC) is a world-class entertainment and technological leader. Walt's passion was to continuously envision new ways to move audiences around the world-a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences - and we're constantly looking for new ways to enhance these exciting experiences. The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. The Global Information Security (GIS) organization strives to secure the magic by employing best-in-class services to assess, prevent, detect, and respond to cyber threats that present risk to The Walt Disney Company. We enable the business by integrating enterprise and business segment-specific supported services to create a robust, efficient, and adaptable cybersecurity program. Our key objectives are to: Secure the Magic by protecting information systems and platforms. Reduce Risk by proactively assessing, preventing, and detecting to prevent harm to the Company and our Guests. Strengthen the business through optimizing execution, application, and technology used to protect the Company. Innovate by investing in core capabilities to enhance operational efficiency. Team Description: Our DevOps Platform Team builds and ships shared security infrastructure, governance tooling, and enterprise automation at scale - with a relentless focus on production quality and engineering craft. This team designs, develops and implements security automation tools and sites to help our customers focus on areas of risk. This role involves taking ownership of technical projects, collaborating with team members, and contributing to security automation initiatives What You'll Do: The Senior Security Engineer - Software Engineer will: Work within the Security Development and Design team that is responsible for protecting the network and company assets from any security threats or attacks through the development of security automation capabilities. Architect and implement code deployment pipelines using GitLab or similar CI/CD processes Design and optimize security tool deployments, introducing scalable processes across Cyber Security capabilities Collaborate effectively with cross-functional teams and contribute to Information Security team efforts across the broad spectrum of information security programs Design, develop, and implement reliable platforms needed to host Applications with security requirements Build, maintain, and improve runbooks for application support and incident response procedures Design and implement monitoring solutions for all aspects of applications, including alerting capabilities Communicate effectively with stakeholders and contribute to technical decision-making Take ownership of security automation projects and contribute to team initiatives Research and evaluate new technologies and security tools to enhance team capabilities Required Qualifications & Skills: 5+ years of experience with scripting languages like Python, Bash, and PowerShell with ability to build reliable automation Strong knowledge of OpenSearch, PostgreSQL, and other data storage platforms including basic optimization techniques Proficient knowledge of Infrastructure as Code tools (CloudFormation, Terraform, Azure Resource Manager, Google Deployment Manager) with experience managing multi-environment deployments Proven ability to learn and maintain cutting-edge skills across multiple technical areas (Unix/Linux, Application Security, Vulnerability Management, etc.) Experience with deployment of new software and maintenance of deployed software in production environments Strong analytical and problem-solving skills with ability to troubleshoot distributed systems Proven ability to design solutions for complex problems and contribute to process improvement initiatives Experience handling confidential information and understanding of security best practices Preferred Qualifications: Strong expertise in Cloud Platforms (AWS/GCP/Azure) with experience in cloud architecture Proficiency in Terraform with experience managing infrastructure across environments Python/YAML/JSON with backend development experience Designing and implementing CICD pipelines through Jenkins, GitLab, or other enterprise tools Container technologies (Kubernetes, Docker) and orchestration concepts Knowledge of security frameworks and compliance standards (SOC2, ISO 27001, NIST) Security scanning tools integration and vulnerability management platforms Monitoring and observability tools (Prometheus, Grafana, ELK stack) Understanding of network security concepts and implementation Required Education: Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Relevant security certifications (CISSP, CISM, AWS Security, etc.) preferred . The hiring range for this position in Seattle, WA is $135,400-$181,600 and in Burbank, CA is $129,300-$173,300 per year and in Orlando, FL is $123,100-$165,100 . 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. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
08/07/2026
Full time
Department Description: At Disney, we're storytellers. We make the impossible, possible. The Walt Disney Company (TWDC) is a world-class entertainment and technological leader. Walt's passion was to continuously envision new ways to move audiences around the world-a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences - and we're constantly looking for new ways to enhance these exciting experiences. The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. The Global Information Security (GIS) organization strives to secure the magic by employing best-in-class services to assess, prevent, detect, and respond to cyber threats that present risk to The Walt Disney Company. We enable the business by integrating enterprise and business segment-specific supported services to create a robust, efficient, and adaptable cybersecurity program. Our key objectives are to: Secure the Magic by protecting information systems and platforms. Reduce Risk by proactively assessing, preventing, and detecting to prevent harm to the Company and our Guests. Strengthen the business through optimizing execution, application, and technology used to protect the Company. Innovate by investing in core capabilities to enhance operational efficiency. Team Description: Our DevOps Platform Team builds and ships shared security infrastructure, governance tooling, and enterprise automation at scale - with a relentless focus on production quality and engineering craft. This team designs, develops and implements security automation tools and sites to help our customers focus on areas of risk. This role involves taking ownership of technical projects, collaborating with team members, and contributing to security automation initiatives What You'll Do: The Senior Security Engineer - Software Engineer will: Work within the Security Development and Design team that is responsible for protecting the network and company assets from any security threats or attacks through the development of security automation capabilities. Architect and implement code deployment pipelines using GitLab or similar CI/CD processes Design and optimize security tool deployments, introducing scalable processes across Cyber Security capabilities Collaborate effectively with cross-functional teams and contribute to Information Security team efforts across the broad spectrum of information security programs Design, develop, and implement reliable platforms needed to host Applications with security requirements Build, maintain, and improve runbooks for application support and incident response procedures Design and implement monitoring solutions for all aspects of applications, including alerting capabilities Communicate effectively with stakeholders and contribute to technical decision-making Take ownership of security automation projects and contribute to team initiatives Research and evaluate new technologies and security tools to enhance team capabilities Required Qualifications & Skills: 5+ years of experience with scripting languages like Python, Bash, and PowerShell with ability to build reliable automation Strong knowledge of OpenSearch, PostgreSQL, and other data storage platforms including basic optimization techniques Proficient knowledge of Infrastructure as Code tools (CloudFormation, Terraform, Azure Resource Manager, Google Deployment Manager) with experience managing multi-environment deployments Proven ability to learn and maintain cutting-edge skills across multiple technical areas (Unix/Linux, Application Security, Vulnerability Management, etc.) Experience with deployment of new software and maintenance of deployed software in production environments Strong analytical and problem-solving skills with ability to troubleshoot distributed systems Proven ability to design solutions for complex problems and contribute to process improvement initiatives Experience handling confidential information and understanding of security best practices Preferred Qualifications: Strong expertise in Cloud Platforms (AWS/GCP/Azure) with experience in cloud architecture Proficiency in Terraform with experience managing infrastructure across environments Python/YAML/JSON with backend development experience Designing and implementing CICD pipelines through Jenkins, GitLab, or other enterprise tools Container technologies (Kubernetes, Docker) and orchestration concepts Knowledge of security frameworks and compliance standards (SOC2, ISO 27001, NIST) Security scanning tools integration and vulnerability management platforms Monitoring and observability tools (Prometheus, Grafana, ELK stack) Understanding of network security concepts and implementation Required Education: Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Relevant security certifications (CISSP, CISM, AWS Security, etc.) preferred . The hiring range for this position in Seattle, WA is $135,400-$181,600 and in Burbank, CA is $129,300-$173,300 per year and in Orlando, FL is $123,100-$165,100 . 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. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
The Walt Disney Company (Corporate)
Seattle, Washington
Department Description: At Disney, we're storytellers. We make the impossible, possible. The Walt Disney Company (TWDC) is a world-class entertainment and technological leader. Walt's passion was to continuously envision new ways to move audiences around the world-a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences - and we're constantly looking for new ways to enhance these exciting experiences. The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. The Global Information Security (GIS) organization strives to secure the magic by employing best-in-class services to assess, prevent, detect, and respond to cyber threats that present risk to The Walt Disney Company. We enable the business by integrating enterprise and business segment-specific supported services to create a robust, efficient, and adaptable cybersecurity program. Our key objectives are to: Secure the Magic by protecting information systems and platforms. Reduce Risk by proactively assessing, preventing, and detecting to prevent harm to the Company and our Guests. Strengthen the business through optimizing execution, application, and technology used to protect the Company. Innovate by investing in core capabilities to enhance operational efficiency. Team Description: Our DevOps Platform Team builds and ships shared security infrastructure, governance tooling, and enterprise automation at scale - with a relentless focus on production quality and engineering craft. This team designs, develops and implements security automation tools and sites to help our customers focus on areas of risk. This role involves taking ownership of technical projects, collaborating with team members, and contributing to security automation initiatives What You'll Do: The Senior Security Engineer - Software Engineer will: Work within the Security Development and Design team that is responsible for protecting the network and company assets from any security threats or attacks through the development of security automation capabilities. Architect and implement code deployment pipelines using GitLab or similar CI/CD processes Design and optimize security tool deployments, introducing scalable processes across Cyber Security capabilities Collaborate effectively with cross-functional teams and contribute to Information Security team efforts across the broad spectrum of information security programs Design, develop, and implement reliable platforms needed to host Applications with security requirements Build, maintain, and improve runbooks for application support and incident response procedures Design and implement monitoring solutions for all aspects of applications, including alerting capabilities Communicate effectively with stakeholders and contribute to technical decision-making Take ownership of security automation projects and contribute to team initiatives Research and evaluate new technologies and security tools to enhance team capabilities Required Qualifications & Skills: 5+ years of experience with scripting languages like Python, Bash, and PowerShell with ability to build reliable automation Strong knowledge of OpenSearch, PostgreSQL, and other data storage platforms including basic optimization techniques Proficient knowledge of Infrastructure as Code tools (CloudFormation, Terraform, Azure Resource Manager, Google Deployment Manager) with experience managing multi-environment deployments Proven ability to learn and maintain cutting-edge skills across multiple technical areas (Unix/Linux, Application Security, Vulnerability Management, etc.) Experience with deployment of new software and maintenance of deployed software in production environments Strong analytical and problem-solving skills with ability to troubleshoot distributed systems Proven ability to design solutions for complex problems and contribute to process improvement initiatives Experience handling confidential information and understanding of security best practices Preferred Qualifications: Strong expertise in Cloud Platforms (AWS/GCP/Azure) with experience in cloud architecture Proficiency in Terraform with experience managing infrastructure across environments Python/YAML/JSON with backend development experience Designing and implementing CICD pipelines through Jenkins, GitLab, or other enterprise tools Container technologies (Kubernetes, Docker) and orchestration concepts Knowledge of security frameworks and compliance standards (SOC2, ISO 27001, NIST) Security scanning tools integration and vulnerability management platforms Monitoring and observability tools (Prometheus, Grafana, ELK stack) Understanding of network security concepts and implementation Required Education: Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Relevant security certifications (CISSP, CISM, AWS Security, etc.) preferred . The hiring range for this position in Seattle, WA is $135,400-$181,600 and in Burbank, CA is $129,300-$173,300 per year and in Orlando, FL is $123,100-$165,100 . 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. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
08/07/2026
Full time
Department Description: At Disney, we're storytellers. We make the impossible, possible. The Walt Disney Company (TWDC) is a world-class entertainment and technological leader. Walt's passion was to continuously envision new ways to move audiences around the world-a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences - and we're constantly looking for new ways to enhance these exciting experiences. The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. The Global Information Security (GIS) organization strives to secure the magic by employing best-in-class services to assess, prevent, detect, and respond to cyber threats that present risk to The Walt Disney Company. We enable the business by integrating enterprise and business segment-specific supported services to create a robust, efficient, and adaptable cybersecurity program. Our key objectives are to: Secure the Magic by protecting information systems and platforms. Reduce Risk by proactively assessing, preventing, and detecting to prevent harm to the Company and our Guests. Strengthen the business through optimizing execution, application, and technology used to protect the Company. Innovate by investing in core capabilities to enhance operational efficiency. Team Description: Our DevOps Platform Team builds and ships shared security infrastructure, governance tooling, and enterprise automation at scale - with a relentless focus on production quality and engineering craft. This team designs, develops and implements security automation tools and sites to help our customers focus on areas of risk. This role involves taking ownership of technical projects, collaborating with team members, and contributing to security automation initiatives What You'll Do: The Senior Security Engineer - Software Engineer will: Work within the Security Development and Design team that is responsible for protecting the network and company assets from any security threats or attacks through the development of security automation capabilities. Architect and implement code deployment pipelines using GitLab or similar CI/CD processes Design and optimize security tool deployments, introducing scalable processes across Cyber Security capabilities Collaborate effectively with cross-functional teams and contribute to Information Security team efforts across the broad spectrum of information security programs Design, develop, and implement reliable platforms needed to host Applications with security requirements Build, maintain, and improve runbooks for application support and incident response procedures Design and implement monitoring solutions for all aspects of applications, including alerting capabilities Communicate effectively with stakeholders and contribute to technical decision-making Take ownership of security automation projects and contribute to team initiatives Research and evaluate new technologies and security tools to enhance team capabilities Required Qualifications & Skills: 5+ years of experience with scripting languages like Python, Bash, and PowerShell with ability to build reliable automation Strong knowledge of OpenSearch, PostgreSQL, and other data storage platforms including basic optimization techniques Proficient knowledge of Infrastructure as Code tools (CloudFormation, Terraform, Azure Resource Manager, Google Deployment Manager) with experience managing multi-environment deployments Proven ability to learn and maintain cutting-edge skills across multiple technical areas (Unix/Linux, Application Security, Vulnerability Management, etc.) Experience with deployment of new software and maintenance of deployed software in production environments Strong analytical and problem-solving skills with ability to troubleshoot distributed systems Proven ability to design solutions for complex problems and contribute to process improvement initiatives Experience handling confidential information and understanding of security best practices Preferred Qualifications: Strong expertise in Cloud Platforms (AWS/GCP/Azure) with experience in cloud architecture Proficiency in Terraform with experience managing infrastructure across environments Python/YAML/JSON with backend development experience Designing and implementing CICD pipelines through Jenkins, GitLab, or other enterprise tools Container technologies (Kubernetes, Docker) and orchestration concepts Knowledge of security frameworks and compliance standards (SOC2, ISO 27001, NIST) Security scanning tools integration and vulnerability management platforms Monitoring and observability tools (Prometheus, Grafana, ELK stack) Understanding of network security concepts and implementation Required Education: Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Relevant security certifications (CISSP, CISM, AWS Security, etc.) preferred . The hiring range for this position in Seattle, WA is $135,400-$181,600 and in Burbank, CA is $129,300-$173,300 per year and in Orlando, FL is $123,100-$165,100 . 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. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
The Walt Disney Company (Corporate)
Burbank, California
Department Description: At Disney, we're storytellers. We make the impossible, possible. The Walt Disney Company (TWDC) is a world-class entertainment and technological leader. Walt's passion was to continuously envision new ways to move audiences around the world-a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences - and we're constantly looking for new ways to enhance these exciting experiences. The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. The Global Information Security (GIS) organization strives to secure the magic by employing best-in-class services to assess, prevent, detect, and respond to cyber threats that present risk to The Walt Disney Company. We enable the business by integrating enterprise and business segment-specific supported services to create a robust, efficient, and adaptable cybersecurity program. Our key objectives are to: Secure the Magic by protecting information systems and platforms. Reduce Risk by proactively assessing, preventing, and detecting to prevent harm to the Company and our Guests. Strengthen the business through optimizing execution, application, and technology used to protect the Company. Innovate by investing in core capabilities to enhance operational efficiency. Team Description: Our DevOps Platform Team builds and ships shared security infrastructure, governance tooling, and enterprise automation at scale - with a relentless focus on production quality and engineering craft. This team designs, develops and implements security automation tools and sites to help our customers focus on areas of risk. This role involves taking ownership of technical projects, collaborating with team members, and contributing to security automation initiatives What You'll Do: The Senior Security Engineer - Software Engineer will: Work within the Security Development and Design team that is responsible for protecting the network and company assets from any security threats or attacks through the development of security automation capabilities. Architect and implement code deployment pipelines using GitLab or similar CI/CD processes Design and optimize security tool deployments, introducing scalable processes across Cyber Security capabilities Collaborate effectively with cross-functional teams and contribute to Information Security team efforts across the broad spectrum of information security programs Design, develop, and implement reliable platforms needed to host Applications with security requirements Build, maintain, and improve runbooks for application support and incident response procedures Design and implement monitoring solutions for all aspects of applications, including alerting capabilities Communicate effectively with stakeholders and contribute to technical decision-making Take ownership of security automation projects and contribute to team initiatives Research and evaluate new technologies and security tools to enhance team capabilities Required Qualifications & Skills: 5+ years of experience with scripting languages like Python, Bash, and PowerShell with ability to build reliable automation Strong knowledge of OpenSearch, PostgreSQL, and other data storage platforms including basic optimization techniques Proficient knowledge of Infrastructure as Code tools (CloudFormation, Terraform, Azure Resource Manager, Google Deployment Manager) with experience managing multi-environment deployments Proven ability to learn and maintain cutting-edge skills across multiple technical areas (Unix/Linux, Application Security, Vulnerability Management, etc.) Experience with deployment of new software and maintenance of deployed software in production environments Strong analytical and problem-solving skills with ability to troubleshoot distributed systems Proven ability to design solutions for complex problems and contribute to process improvement initiatives Experience handling confidential information and understanding of security best practices Preferred Qualifications: Strong expertise in Cloud Platforms (AWS/GCP/Azure) with experience in cloud architecture Proficiency in Terraform with experience managing infrastructure across environments Python/YAML/JSON with backend development experience Designing and implementing CICD pipelines through Jenkins, GitLab, or other enterprise tools Container technologies (Kubernetes, Docker) and orchestration concepts Knowledge of security frameworks and compliance standards (SOC2, ISO 27001, NIST) Security scanning tools integration and vulnerability management platforms Monitoring and observability tools (Prometheus, Grafana, ELK stack) Understanding of network security concepts and implementation Required Education: Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Relevant security certifications (CISSP, CISM, AWS Security, etc.) preferred . The hiring range for this position in Seattle, WA is $135,400-$181,600 and in Burbank, CA is $129,300-$173,300 per year and in Orlando, FL is $123,100-$165,100 . 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. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
08/07/2026
Full time
Department Description: At Disney, we're storytellers. We make the impossible, possible. The Walt Disney Company (TWDC) is a world-class entertainment and technological leader. Walt's passion was to continuously envision new ways to move audiences around the world-a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences - and we're constantly looking for new ways to enhance these exciting experiences. The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. The Global Information Security (GIS) organization strives to secure the magic by employing best-in-class services to assess, prevent, detect, and respond to cyber threats that present risk to The Walt Disney Company. We enable the business by integrating enterprise and business segment-specific supported services to create a robust, efficient, and adaptable cybersecurity program. Our key objectives are to: Secure the Magic by protecting information systems and platforms. Reduce Risk by proactively assessing, preventing, and detecting to prevent harm to the Company and our Guests. Strengthen the business through optimizing execution, application, and technology used to protect the Company. Innovate by investing in core capabilities to enhance operational efficiency. Team Description: Our DevOps Platform Team builds and ships shared security infrastructure, governance tooling, and enterprise automation at scale - with a relentless focus on production quality and engineering craft. This team designs, develops and implements security automation tools and sites to help our customers focus on areas of risk. This role involves taking ownership of technical projects, collaborating with team members, and contributing to security automation initiatives What You'll Do: The Senior Security Engineer - Software Engineer will: Work within the Security Development and Design team that is responsible for protecting the network and company assets from any security threats or attacks through the development of security automation capabilities. Architect and implement code deployment pipelines using GitLab or similar CI/CD processes Design and optimize security tool deployments, introducing scalable processes across Cyber Security capabilities Collaborate effectively with cross-functional teams and contribute to Information Security team efforts across the broad spectrum of information security programs Design, develop, and implement reliable platforms needed to host Applications with security requirements Build, maintain, and improve runbooks for application support and incident response procedures Design and implement monitoring solutions for all aspects of applications, including alerting capabilities Communicate effectively with stakeholders and contribute to technical decision-making Take ownership of security automation projects and contribute to team initiatives Research and evaluate new technologies and security tools to enhance team capabilities Required Qualifications & Skills: 5+ years of experience with scripting languages like Python, Bash, and PowerShell with ability to build reliable automation Strong knowledge of OpenSearch, PostgreSQL, and other data storage platforms including basic optimization techniques Proficient knowledge of Infrastructure as Code tools (CloudFormation, Terraform, Azure Resource Manager, Google Deployment Manager) with experience managing multi-environment deployments Proven ability to learn and maintain cutting-edge skills across multiple technical areas (Unix/Linux, Application Security, Vulnerability Management, etc.) Experience with deployment of new software and maintenance of deployed software in production environments Strong analytical and problem-solving skills with ability to troubleshoot distributed systems Proven ability to design solutions for complex problems and contribute to process improvement initiatives Experience handling confidential information and understanding of security best practices Preferred Qualifications: Strong expertise in Cloud Platforms (AWS/GCP/Azure) with experience in cloud architecture Proficiency in Terraform with experience managing infrastructure across environments Python/YAML/JSON with backend development experience Designing and implementing CICD pipelines through Jenkins, GitLab, or other enterprise tools Container technologies (Kubernetes, Docker) and orchestration concepts Knowledge of security frameworks and compliance standards (SOC2, ISO 27001, NIST) Security scanning tools integration and vulnerability management platforms Monitoring and observability tools (Prometheus, Grafana, ELK stack) Understanding of network security concepts and implementation Required Education: Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Relevant security certifications (CISSP, CISM, AWS Security, etc.) preferred . The hiring range for this position in Seattle, WA is $135,400-$181,600 and in Burbank, CA is $129,300-$173,300 per year and in Orlando, FL is $123,100-$165,100 . 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. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
We are partnering with an early-stage, cutting-edge AI startup in New York City to hire a Full Stack AI Engineer with strong zero-to-one product-building experience. This is a fully onsite position. Candidates must currently live within commuting distance of New York City and be able to work from the companys Manhattan office five days per week. Please do not apply if you are seeking remote or hybrid work. About the Role Our client is looking for a highly hands-on engineer who can help build and launch AI-native products from the ground up. You will work closely with the founders to turn ideas into production-ready applications and help shape the companys technical foundation. The right candidate is comfortable working across frontend, backend, infrastructure, and AI systems. You should enjoy fast-moving startup environments, changing requirements, rapid iteration, and taking complete ownership of what you build. Responsibilities Build, test, launch, and improve full-stack products from zero to one Develop modern frontend applications using React, Next.js, or similar technologies Build backend services, APIs, databases, and third-party integrations Create AI-powered features using large language models and multimodal models Build AI agents that can use tools, complete workflows, and interact with external systems Develop retrieval-augmented generation, embeddings, vector search, and knowledge systems Integrate voice AI, speech-to-text, text-to-speech, or real-time conversational systems Implement structured outputs, tool calling, model routing, and human approval workflows Build evaluation, monitoring, and testing systems for AI performance Improve application reliability, scalability, security, latency, and AI inference costs Work directly with founders, users, and product stakeholders Help make product, architecture, and technology decisions Qualifications 4 or more years of professional software engineering experience Proven experience building and launching a product from zero to one Prior experience working at an early-stage startup Strong experience across frontend and backend development Strong skills in TypeScript, JavaScript, React, and Next.js Backend experience with Node.js, Python, FastAPI, Go, or similar technologies Experience with PostgreSQL, APIs, cloud infrastructure, and production deployments Hands-on experience integrating large language models into production applications Experience with AI agents, RAG, tool calling, embeddings, multimodal AI, or voice AI Strong product judgment and the ability to operate with limited direction Ability to move quickly while maintaining high engineering standards Must be actively hands-on and writing production code Preferred Experience OpenAI, Anthropic, Gemini, or open-source AI models Model Context Protocol and agent orchestration frameworks LangGraph, LlamaIndex, Vercel AI SDK, or similar tools Vector databases such as Pinecone, Qdrant, Weaviate, or pgvector Voice AI, WebSockets, WebRTC, or real-time streaming systems AI evaluations, observability, prompt injection protection, and model security Docker, AWS, Google Cloud, Azure, or serverless infrastructure Experience as an early, founding, or first engineering hire Ideal Candidate You are a builder who prefers creating new products over maintaining mature systems. You are comfortable wearing multiple hats, making decisions quickly, and turning incomplete ideas into products customers can use. You understand that strong AI products require more than connecting an application to a model API. You know how to build dependable workflows, evaluate output quality, manage latency and cost, and create safeguards around AI-generated actions. Candidates whose experience is exclusively with FAANG companies, large enterprises, or mature technology organizations will not be considered. FAANG experience is welcome when combined with meaningful early-stage startup and zero-to-one product experience. Location Requirement This position is onsite in Manhattan five days per week. Candidates must already live within a reasonable commuting distance of New York City. Remote, hybrid, relocation-dependent, and out-of-area candidates will not be considered.
08/07/2026
We are partnering with an early-stage, cutting-edge AI startup in New York City to hire a Full Stack AI Engineer with strong zero-to-one product-building experience. This is a fully onsite position. Candidates must currently live within commuting distance of New York City and be able to work from the companys Manhattan office five days per week. Please do not apply if you are seeking remote or hybrid work. About the Role Our client is looking for a highly hands-on engineer who can help build and launch AI-native products from the ground up. You will work closely with the founders to turn ideas into production-ready applications and help shape the companys technical foundation. The right candidate is comfortable working across frontend, backend, infrastructure, and AI systems. You should enjoy fast-moving startup environments, changing requirements, rapid iteration, and taking complete ownership of what you build. Responsibilities Build, test, launch, and improve full-stack products from zero to one Develop modern frontend applications using React, Next.js, or similar technologies Build backend services, APIs, databases, and third-party integrations Create AI-powered features using large language models and multimodal models Build AI agents that can use tools, complete workflows, and interact with external systems Develop retrieval-augmented generation, embeddings, vector search, and knowledge systems Integrate voice AI, speech-to-text, text-to-speech, or real-time conversational systems Implement structured outputs, tool calling, model routing, and human approval workflows Build evaluation, monitoring, and testing systems for AI performance Improve application reliability, scalability, security, latency, and AI inference costs Work directly with founders, users, and product stakeholders Help make product, architecture, and technology decisions Qualifications 4 or more years of professional software engineering experience Proven experience building and launching a product from zero to one Prior experience working at an early-stage startup Strong experience across frontend and backend development Strong skills in TypeScript, JavaScript, React, and Next.js Backend experience with Node.js, Python, FastAPI, Go, or similar technologies Experience with PostgreSQL, APIs, cloud infrastructure, and production deployments Hands-on experience integrating large language models into production applications Experience with AI agents, RAG, tool calling, embeddings, multimodal AI, or voice AI Strong product judgment and the ability to operate with limited direction Ability to move quickly while maintaining high engineering standards Must be actively hands-on and writing production code Preferred Experience OpenAI, Anthropic, Gemini, or open-source AI models Model Context Protocol and agent orchestration frameworks LangGraph, LlamaIndex, Vercel AI SDK, or similar tools Vector databases such as Pinecone, Qdrant, Weaviate, or pgvector Voice AI, WebSockets, WebRTC, or real-time streaming systems AI evaluations, observability, prompt injection protection, and model security Docker, AWS, Google Cloud, Azure, or serverless infrastructure Experience as an early, founding, or first engineering hire Ideal Candidate You are a builder who prefers creating new products over maintaining mature systems. You are comfortable wearing multiple hats, making decisions quickly, and turning incomplete ideas into products customers can use. You understand that strong AI products require more than connecting an application to a model API. You know how to build dependable workflows, evaluate output quality, manage latency and cost, and create safeguards around AI-generated actions. Candidates whose experience is exclusively with FAANG companies, large enterprises, or mature technology organizations will not be considered. FAANG experience is welcome when combined with meaningful early-stage startup and zero-to-one product experience. Location Requirement This position is onsite in Manhattan five days per week. Candidates must already live within a reasonable commuting distance of New York City. Remote, hybrid, relocation-dependent, and out-of-area candidates will not be considered.
We are partnering with an early-stage, cutting-edge AI startup in San Francisco to hire a Full Stack AI Engineer with strong zero-to-one product-building experience. This is a fully onsite position. Candidates must currently live in the San Francisco Bay Area and be able to work from the companys San Francisco office five days per week. Please do not apply if you are seeking remote or hybrid work. About the Role Our client is looking for a highly hands-on engineer who can help build and launch AI-native products from the ground up. You will work closely with the founders to turn ideas into production-ready applications and help shape the companys technical foundation. The right candidate is comfortable working across frontend, backend, infrastructure, and AI systems. You should enjoy fast-moving startup environments, unclear requirements, rapid iteration, and taking full ownership of what you build. Responsibilities Build, test, launch, and improve full-stack products from zero to one Develop modern frontend applications using React, Next.js, or similar technologies Build backend services, APIs, databases, and integrations Create AI-powered features using large language models and multimodal models Build AI agents that can use tools, complete workflows, and interact with external systems Develop retrieval-augmented generation, embeddings, vector search, and knowledge systems Integrate voice AI, speech-to-text, text-to-speech, or real-time conversational systems Implement model routing, structured outputs, tool calling, and human approval workflows Build evaluation, monitoring, and testing systems for AI performance Improve application speed, reliability, scalability, security, and AI inference costs Work directly with founders, users, and product stakeholders Help make product, architecture, and technology decisions Qualifications 4 or more years of professional software engineering experience Proven experience building and launching a product from zero to one Strong experience across both frontend and backend development Experience working at an early-stage startup Strong skills in TypeScript, JavaScript, React, and Next.js Backend experience with Node.js, Python, FastAPI, Go, or similar technologies Experience with PostgreSQL, APIs, cloud infrastructure, and production deployments Hands-on experience integrating large language models into production applications Experience with AI agents, RAG, tool calling, embeddings, or multimodal AI Strong product judgment and the ability to work with limited direction Ability to move quickly while maintaining high engineering standards Preferred Experience OpenAI, Anthropic, Gemini, or open-source AI models Model Context Protocol and agent orchestration frameworks LangGraph, LlamaIndex, Vercel AI SDK, or similar tools Vector databases such as Pinecone, Qdrant, Weaviate, or pgvector Voice AI, WebSockets, WebRTC, or real-time streaming systems AI evaluations, observability, prompt injection protection, and model security Docker, AWS, Google Cloud, Azure, or serverless infrastructure Experience as an early, founding, or first engineering hire Ideal Candidate You are a builder who prefers creating new products over maintaining mature systems. You are comfortable wearing multiple hats, making decisions quickly, and turning incomplete ideas into products that customers can use. You understand that strong AI products require more than connecting to a model API. You know how to build dependable workflows, evaluate output quality, manage latency and cost, and create safeguards around AI-generated actions. Location Requirement This role is onsite in San Francisco five days per week. Candidates must already live within a reasonable commuting distance of San Francisco. Remote, hybrid, relocation-dependent, and out-of-area candidates will not be considered.
08/07/2026
We are partnering with an early-stage, cutting-edge AI startup in San Francisco to hire a Full Stack AI Engineer with strong zero-to-one product-building experience. This is a fully onsite position. Candidates must currently live in the San Francisco Bay Area and be able to work from the companys San Francisco office five days per week. Please do not apply if you are seeking remote or hybrid work. About the Role Our client is looking for a highly hands-on engineer who can help build and launch AI-native products from the ground up. You will work closely with the founders to turn ideas into production-ready applications and help shape the companys technical foundation. The right candidate is comfortable working across frontend, backend, infrastructure, and AI systems. You should enjoy fast-moving startup environments, unclear requirements, rapid iteration, and taking full ownership of what you build. Responsibilities Build, test, launch, and improve full-stack products from zero to one Develop modern frontend applications using React, Next.js, or similar technologies Build backend services, APIs, databases, and integrations Create AI-powered features using large language models and multimodal models Build AI agents that can use tools, complete workflows, and interact with external systems Develop retrieval-augmented generation, embeddings, vector search, and knowledge systems Integrate voice AI, speech-to-text, text-to-speech, or real-time conversational systems Implement model routing, structured outputs, tool calling, and human approval workflows Build evaluation, monitoring, and testing systems for AI performance Improve application speed, reliability, scalability, security, and AI inference costs Work directly with founders, users, and product stakeholders Help make product, architecture, and technology decisions Qualifications 4 or more years of professional software engineering experience Proven experience building and launching a product from zero to one Strong experience across both frontend and backend development Experience working at an early-stage startup Strong skills in TypeScript, JavaScript, React, and Next.js Backend experience with Node.js, Python, FastAPI, Go, or similar technologies Experience with PostgreSQL, APIs, cloud infrastructure, and production deployments Hands-on experience integrating large language models into production applications Experience with AI agents, RAG, tool calling, embeddings, or multimodal AI Strong product judgment and the ability to work with limited direction Ability to move quickly while maintaining high engineering standards Preferred Experience OpenAI, Anthropic, Gemini, or open-source AI models Model Context Protocol and agent orchestration frameworks LangGraph, LlamaIndex, Vercel AI SDK, or similar tools Vector databases such as Pinecone, Qdrant, Weaviate, or pgvector Voice AI, WebSockets, WebRTC, or real-time streaming systems AI evaluations, observability, prompt injection protection, and model security Docker, AWS, Google Cloud, Azure, or serverless infrastructure Experience as an early, founding, or first engineering hire Ideal Candidate You are a builder who prefers creating new products over maintaining mature systems. You are comfortable wearing multiple hats, making decisions quickly, and turning incomplete ideas into products that customers can use. You understand that strong AI products require more than connecting to a model API. You know how to build dependable workflows, evaluate output quality, manage latency and cost, and create safeguards around AI-generated actions. Location Requirement This role is onsite in San Francisco five days per week. Candidates must already live within a reasonable commuting distance of San Francisco. Remote, hybrid, relocation-dependent, and out-of-area candidates will not be considered.
Key Responsibilities: Design, develop, and maintain full-stack applications using Python, React, Next.js Build APIs and AI/LLM-powered workflows Collaborate with cross-functional teams of engineers, data scientists, and product leaders Develop CI/CD pipelines, testing, debugging, and code optimization Work with knowledge graphs (Neo4j) and relational databases (PostgreSQL or cloud equivalents) Deploy and manage cloud applications (AWS preferred) using containerization technologies Required Qualifications: Experience supporting defense or government environments, including classified data Active Secret clearance (Top Secret preferred) 7+ years of professional software engineering experience This is a high-impact role where you will work on cutting-edge generative AI platforms, influence product direction, and collaborate with top technical minds. If this aligns with your experience and interests, Id love to discuss it further. Regards, Bilal Uddin - (linkedin) Sr. Federal US IT Recruiter RedBeard Solutions Phone: Website: (link removed)
08/07/2026
Key Responsibilities: Design, develop, and maintain full-stack applications using Python, React, Next.js Build APIs and AI/LLM-powered workflows Collaborate with cross-functional teams of engineers, data scientists, and product leaders Develop CI/CD pipelines, testing, debugging, and code optimization Work with knowledge graphs (Neo4j) and relational databases (PostgreSQL or cloud equivalents) Deploy and manage cloud applications (AWS preferred) using containerization technologies Required Qualifications: Experience supporting defense or government environments, including classified data Active Secret clearance (Top Secret preferred) 7+ years of professional software engineering experience This is a high-impact role where you will work on cutting-edge generative AI platforms, influence product direction, and collaborate with top technical minds. If this aligns with your experience and interests, Id love to discuss it further. Regards, Bilal Uddin - (linkedin) Sr. Federal US IT Recruiter RedBeard Solutions Phone: Website: (link removed)
Security Clearance Required: Active TS/SCI with Full Scope Polygraph (FSP) Develop powerful APIs, optimize backend SQL databases, and integrate modern AWS technologies while building mission-critical software solutions. In this role, you'll work across the full software development lifecycle (SDLC), using modern web development technologies and programming languages to build robust client-side and server-side applications. You'll design seamless integrations, develop intuitive user experiences, and transform complex technical requirements into scalable, high-impact solutions. Required Skills Core Programming: Strong software development experience using Java and JavaScript. Operating Environment: Proven experience developing and working in Linux environments. Full-Stack Development: Experience with the Software Development Lifecycle (SDLC), including front-end, back-end, client-side, and server-side development. Development Tools: Experience using Git for version control and SQL for database development and querying. Integration & Architecture: Experience with API development, system integrations, and UI/UX principles. Modern JavaScript Frameworks: Experience with or exposure to Angular, React.js, or Vue.js. Cloud Technologies: Familiarity with AWS services, Python, and Microsoft C# to support diverse application architectures. Experience Requirements Mid-Level 7+ years of experience with a technical degree, or 11+ years of experience without a technical degree. Senior Level 14+ years of experience with a technical degree, or 18+ years of experience without a technical degree. Principal Level 20+ years of experience with a technical degree, or 24+ years of experience without a technical degree. Preferred Skills Experience with MongoDB, Spring, and OSGi. Familiarity with Perl, Lua, and configuring or managing NGINX. Experience with automation or workflow acceleration frameworks such as Empower. Position Details Active TS/SCI with Full Scope Polygraph (FSP) is required. Positions are 100% onsite (link removed)> Most opportunities are located in the Maryland area, including Columbia, Annapolis, Annapolis Junction, and Fort Meade (link removed)> Due to security requirements, all work must be performed at the designated worksite. Remote work is not available. About the Opportunity This position supports advanced software engineering, artificial intelligence, and data-driven initiatives for U.S. Government programs. You'll join a highly technical environment focused on delivering innovative, mission-critical solutions while working alongside experienced engineers on complex and impactful projects.
08/07/2026
Security Clearance Required: Active TS/SCI with Full Scope Polygraph (FSP) Develop powerful APIs, optimize backend SQL databases, and integrate modern AWS technologies while building mission-critical software solutions. In this role, you'll work across the full software development lifecycle (SDLC), using modern web development technologies and programming languages to build robust client-side and server-side applications. You'll design seamless integrations, develop intuitive user experiences, and transform complex technical requirements into scalable, high-impact solutions. Required Skills Core Programming: Strong software development experience using Java and JavaScript. Operating Environment: Proven experience developing and working in Linux environments. Full-Stack Development: Experience with the Software Development Lifecycle (SDLC), including front-end, back-end, client-side, and server-side development. Development Tools: Experience using Git for version control and SQL for database development and querying. Integration & Architecture: Experience with API development, system integrations, and UI/UX principles. Modern JavaScript Frameworks: Experience with or exposure to Angular, React.js, or Vue.js. Cloud Technologies: Familiarity with AWS services, Python, and Microsoft C# to support diverse application architectures. Experience Requirements Mid-Level 7+ years of experience with a technical degree, or 11+ years of experience without a technical degree. Senior Level 14+ years of experience with a technical degree, or 18+ years of experience without a technical degree. Principal Level 20+ years of experience with a technical degree, or 24+ years of experience without a technical degree. Preferred Skills Experience with MongoDB, Spring, and OSGi. Familiarity with Perl, Lua, and configuring or managing NGINX. Experience with automation or workflow acceleration frameworks such as Empower. Position Details Active TS/SCI with Full Scope Polygraph (FSP) is required. Positions are 100% onsite (link removed)> Most opportunities are located in the Maryland area, including Columbia, Annapolis, Annapolis Junction, and Fort Meade (link removed)> Due to security requirements, all work must be performed at the designated worksite. Remote work is not available. About the Opportunity This position supports advanced software engineering, artificial intelligence, and data-driven initiatives for U.S. Government programs. You'll join a highly technical environment focused on delivering innovative, mission-critical solutions while working alongside experienced engineers on complex and impactful projects.
Midwest Family Mutual Insurance Company
Urbandale, Iowa
Description: Position Summary The MFM IT team has a long history of delivering and maintaining core business systems in a mid-sized Property & Casualty insurance environment. As we expand our development team and adopt new AI development tools, we are making a deliberate investment in building this capability correctly from the start. As we begin to build agentic AI capabilities within our enterprise system, we are looking for an experienced engineer with strong knowledge of agentic AI systems to help guide this effort. The Senior Agentic AI Specialist will work closely with MFM's Principal Architect, who leads overall platform architecture, and partner with senior developers to design, implement, and improve agent-based solutions. This role will bring specialized expertise in areas where we are still developing depth, including agent orchestration, retrieval pipelines, LLM evaluation, and prompt design. This is an ongoing platform effort, not a one-time project. The work will evolve over time as we expand capabilities, integrate new tools, and improve system quality. Our core systems are built on a Microsoft/.NET stack. As we develop our agentic AI capabilities, we expect to leverage cloud-based tooling (likely within Azure) where appropriate. We are pragmatic about using the right tools for the problem, while maintaining alignment with our existing platform and operational requirements. At Midwest Family we value practical experience, clear thinking, and the ability to apply these skills in a real-world environment. Application Requirements Cover Letter and Resume: Please include the following in your cover letter A description of an AI or agent-based system you have worked on, including your role and how you evaluated quality Your approach to reducing incorrect or unsupported outputs An example of how you supported other developers or teams in adopting AI capabilities Your physical remote work location state Salary expectations Responsibilities: Platform Architecture & Evolution : Provide input into AI-related architecture decisions. Evaluate tools, models, and approaches, and make practical recommendations based on trade-offs and outcomes. Agent Lifecycle Management: Design, build, and maintain agents. Define prompts and configurations, support routing decisions, and monitor performance in production. RAG Pipeline Engineering: Improve retrieval quality by working with chunking strategies, embeddings, search methods, and metadata filtering. Support onboarding of new knowledge sources. Quality & Hallucination Reduction: Help reduce incorrect or unsupported outputs through system design, testing, and monitoring. Apply practical approaches across prompts, retrieval, and model behavior. Evaluation & Testing: Develop and maintain evaluation approaches to measure output quality, including relevance and accuracy. Support regression testing and identify failure patterns. Prompt Engineering: Create and maintain prompts for different agents. Diagnose unexpected behavior and develop reusable patterns where appropriate. Tool Integration: Support integration with internal systems and APIs. Help manage tool access and ensure reliable execution and error handling. Observability & Operations: Contribute to logging, tracing, and monitoring. Support analysis of system behavior, cost, and performance in production. Governance & Configuration: Work with configuration across agents, prompts, and models. Ensure changes are version-controlled and reviewed. Developer Support: Work with other developers to share knowledge, review designs, and establish consistent approaches. Research & Evaluation: Stay current with new models and tools. Evaluate them in a structured way and recommend adoption where appropriate. Requirements: Education & Certification College degree or Programming Certification (preferred) 5+ years of equivalent work experience Required Experience Experience building or working with AI/LLM-based systems in a production or near-production environment Strong understanding of agent-based patterns (ReAct, tool usage, etc.) Experience with retrieval-based systems (RAG), vector stores, or search pipelines Familiarity with evaluating non-deterministic system outputs Experience improving system quality through testing and iteration Strong software engineering skills required. Experience with Python, TypeScript, or C# preferred Ability to work across technologies and integrate AI solutions into an existing enterprise environment Preferred Experience Experience working with multiple LLM providers Familiarity with emerging tools and frameworks in the agentic AI space Experience integrating with enterprise systems and data sources Experience mentoring or supporting other developers Personal Attributes Strategic thinker with strong analytical and problem-solving skills Technically proficient with broad systems knowledge Excellent interpersonal, written, and verbal communication skills Self-directed, collaborative, and highly organized Customer-oriented and able to navigate high-pressure environments Flexible and adaptable in regards to learning and understanding new technologies. Exceptional organizational skills and ability to keep track of multiple projects at a time. Ability to conduct research into software-related issues and products. Technically proficient. Exceptional attention to detail. Ability to work both independently and in a team-oriented, collaborative environment. Work Conditions Remote work environment following core hours 8AM-5PM Central Time Overtime may be required to meet project deadlines or monitor system processes. Sitting for extended periods of time. Dexterity of hands and fingers to operate a computer keyboard, mouse, and other devices. Minimal travel will be required for the purpose of off-site software training and team meetings. Physically able to participate in virtual and in-person training sessions, presentations, and meetings. PI6a59fdda4e68-4236
08/07/2026
Full time
Description: Position Summary The MFM IT team has a long history of delivering and maintaining core business systems in a mid-sized Property & Casualty insurance environment. As we expand our development team and adopt new AI development tools, we are making a deliberate investment in building this capability correctly from the start. As we begin to build agentic AI capabilities within our enterprise system, we are looking for an experienced engineer with strong knowledge of agentic AI systems to help guide this effort. The Senior Agentic AI Specialist will work closely with MFM's Principal Architect, who leads overall platform architecture, and partner with senior developers to design, implement, and improve agent-based solutions. This role will bring specialized expertise in areas where we are still developing depth, including agent orchestration, retrieval pipelines, LLM evaluation, and prompt design. This is an ongoing platform effort, not a one-time project. The work will evolve over time as we expand capabilities, integrate new tools, and improve system quality. Our core systems are built on a Microsoft/.NET stack. As we develop our agentic AI capabilities, we expect to leverage cloud-based tooling (likely within Azure) where appropriate. We are pragmatic about using the right tools for the problem, while maintaining alignment with our existing platform and operational requirements. At Midwest Family we value practical experience, clear thinking, and the ability to apply these skills in a real-world environment. Application Requirements Cover Letter and Resume: Please include the following in your cover letter A description of an AI or agent-based system you have worked on, including your role and how you evaluated quality Your approach to reducing incorrect or unsupported outputs An example of how you supported other developers or teams in adopting AI capabilities Your physical remote work location state Salary expectations Responsibilities: Platform Architecture & Evolution : Provide input into AI-related architecture decisions. Evaluate tools, models, and approaches, and make practical recommendations based on trade-offs and outcomes. Agent Lifecycle Management: Design, build, and maintain agents. Define prompts and configurations, support routing decisions, and monitor performance in production. RAG Pipeline Engineering: Improve retrieval quality by working with chunking strategies, embeddings, search methods, and metadata filtering. Support onboarding of new knowledge sources. Quality & Hallucination Reduction: Help reduce incorrect or unsupported outputs through system design, testing, and monitoring. Apply practical approaches across prompts, retrieval, and model behavior. Evaluation & Testing: Develop and maintain evaluation approaches to measure output quality, including relevance and accuracy. Support regression testing and identify failure patterns. Prompt Engineering: Create and maintain prompts for different agents. Diagnose unexpected behavior and develop reusable patterns where appropriate. Tool Integration: Support integration with internal systems and APIs. Help manage tool access and ensure reliable execution and error handling. Observability & Operations: Contribute to logging, tracing, and monitoring. Support analysis of system behavior, cost, and performance in production. Governance & Configuration: Work with configuration across agents, prompts, and models. Ensure changes are version-controlled and reviewed. Developer Support: Work with other developers to share knowledge, review designs, and establish consistent approaches. Research & Evaluation: Stay current with new models and tools. Evaluate them in a structured way and recommend adoption where appropriate. Requirements: Education & Certification College degree or Programming Certification (preferred) 5+ years of equivalent work experience Required Experience Experience building or working with AI/LLM-based systems in a production or near-production environment Strong understanding of agent-based patterns (ReAct, tool usage, etc.) Experience with retrieval-based systems (RAG), vector stores, or search pipelines Familiarity with evaluating non-deterministic system outputs Experience improving system quality through testing and iteration Strong software engineering skills required. Experience with Python, TypeScript, or C# preferred Ability to work across technologies and integrate AI solutions into an existing enterprise environment Preferred Experience Experience working with multiple LLM providers Familiarity with emerging tools and frameworks in the agentic AI space Experience integrating with enterprise systems and data sources Experience mentoring or supporting other developers Personal Attributes Strategic thinker with strong analytical and problem-solving skills Technically proficient with broad systems knowledge Excellent interpersonal, written, and verbal communication skills Self-directed, collaborative, and highly organized Customer-oriented and able to navigate high-pressure environments Flexible and adaptable in regards to learning and understanding new technologies. Exceptional organizational skills and ability to keep track of multiple projects at a time. Ability to conduct research into software-related issues and products. Technically proficient. Exceptional attention to detail. Ability to work both independently and in a team-oriented, collaborative environment. Work Conditions Remote work environment following core hours 8AM-5PM Central Time Overtime may be required to meet project deadlines or monitor system processes. Sitting for extended periods of time. Dexterity of hands and fingers to operate a computer keyboard, mouse, and other devices. Minimal travel will be required for the purpose of off-site software training and team meetings. Physically able to participate in virtual and in-person training sessions, presentations, and meetings. PI6a59fdda4e68-4236