{"schemaVersion":"jobsearcher.job.v1","id":"bfe39d8b06a9555de81f80fa","url":"https://jobsearcher.com/jobs/bfe39d8b06a9555de81f80fa","canonicalUrl":"https://jobsearcher.com/jobs/bfe39d8b06a9555de81f80fa","title":"Python/AI Engineer","description":"Python/AI Engineer\n18 Month W2 Contract\nNYC- Hyrbird 3 days onsite\n$60-$68/hour\n\nPython Developer/ AI Engineer\nProject Details\n\n- Develop core Agent Runtime capabilities and reusable platform services.\n- Build agent orchestration, memory management, context management, and runtime execution capabilities.\n- Develop APIs, SDKs, and platform components for scalable AI adoption.\n- Implement platform guardrails, security controls, governance, and policy enforcement capabilities.\n- Build testing, benchmarking, evaluation, and observability frameworks.\n- Troubleshoot runtime, performance, integration, scalability, and operational issues.\n- Conduct proof-of-concepts and evaluate emerging AI technologies.\n- Participate in full SDLC activities including requirements analysis, design, development, testing, and deployment.\n- Conduct code reviews and contribute to engineering standards and best practices.\n\nMust Haves / Required Skills:\n7 years of experience minimum, internships do not count\n\n- Python.\n- FastAPI.\n- Asynchronous programming (async/await).\n- API design and integration.\n- MongoDB.\n- Redis.\n\n- Skills / Experience That Are A Plus\n“nice to have”, but not necessarily required:\n\n- LangChain.\n- LangGraph.\n- Dependency injection.\n- Background processing.\n- Automated testing (unit, integration, regression, performance, evaluation).\n- CI/CD pipeline development.\n- Enterprise application development.\n- Security controls, governance, policy enforcement, and guardrails.\n- Look for candidates with enterprise platform engineering, API development, testing automation, CI/CD, and distributed systems experience.\n- Experience building reusable frameworks, SDKs, platform services, and developer tooling is highly relevant.\n- AI agent framework experience (LangChain, LangGraph, etc.) is beneficial but not required.\n\nWe are seeking a Software Engineer to help develop AI solutions. In this role, you will ensure that software is developed to meet functional, non-functional and compliance requirements, and solutions are well designed with maintainability/ease of integration and testing built-in from the outset.\n\nThis includes requirements analysis, architecture design, coding, testing, and deployment. Job expectations include a considerable amount of knowledge of development and testing practices common to the industry and design and architectural patterns.\n\nResponsibilities:\n\n- Design, develop, and enhance core Agent Runtime capabilities and reusable platform services that enable the development, deployment, orchestration, and management of AI agents.\n- Implement agent platform features, including tool integration frameworks, orchestration logic, memory management, context management, and runtime execution capabilities.\n- Develop and maintain platform controls, guardrails, policy enforcement mechanisms, and safety capabilities to support secure and compliant use of Generative AI solutions.\n- Build and enhance evaluation frameworks, automated testing capabilities, benchmarking tools, and observability solutions to measure agent quality, reliability, safety, and performance.\n- Design and implement APIs, SDKs, and platform components that enable scalable adoption of agent capabilities across engineering teams.\n- Translate business, product, and technical requirements into robust software solutions while adhering to enterprise architecture, security, and compliance standards.\n- Execute story refinement, technical analysis, solution design, and effort estimation activities throughout the software development lifecycle.\n- Perform proof-of-concept development and technical experimentation to evaluate emerging AI technologies, frameworks, and design patterns.\n- Develop and maintain automated unit, integration, regression, performance, and evaluation test suites to ensure platform stability and reliability.\n- Troubleshoot and resolve complex issues involving agent execution, model integration, runtime performance, scaling, observability, and platform operations.\n- Optimize platform components for performance, reliability, scalability, and cost efficiency across production environments.\n- Conduct peer code reviews and contribute to engineering standards, development practices, and reusable patterns that improve overall platform quality.\n- Ensure delivered solutions meet defined expectations for functionality, security, governance, quality, reliability, and operational supportability.\n\nExperience Required:\n\n- 7+ years of professional software engineering experience designing, developing, and supporting enterprise-grade applications and platform services.\n- Strong experience developing Python-based services using FastAPI, asynchronous programming patterns (async/await), API design, dependency injection, background processing, and integration with external systems and services.\n- Experience developing reusable platform capabilities, SDKs, frameworks, or shared services used by multiple engineering teams.\n- Experience implementing security controls, policy enforcement, guardrails, governance capabilities, and observability solutions for enterprise applications.\n- Experience designing and implementing automated testing frameworks, including unit, integration, regression, performance, and evaluation testing.\n- Experience developing CI/CD pipelines and automating software build, deployment, and release processes.\n- Strong troubleshooting and debugging skills with the ability to diagnose and resolve complex application, runtime, performance, and integration issues.\n- Experience working in Agile development environments and participating in requirements analysis, technical design, estimation, and software delivery.\n- Strong analytical, problem-solving, and communication skills with the ability to work effectively across engineering, product, and architecture teams.\n\nExperience Desired (not essential):\n\n- Kubernetes/OpenShift\n- Kafka and event-driven architecture\n- MongoDB and Redis\n- LangChain, LangGraph, or similar agent frameworks\n- OpenTelemetry and Splunk\n- Galileo, LangSmith, or similar AI evaluation and observability tools","company":"Matlen Silver Group","rawCompany":"matlen silver group","city":"New York","state":"NY","isRemote":false,"isActive":true,"createdAt":"2026-10-28T11:26:14.529Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Python/AI Engineer","description":"Python/AI Engineer\n18 Month W2 Contract\nNYC- Hyrbird 3 days onsite\n$60-$68/hour\n\nPython Developer/ AI Engineer\nProject Details\n\n- Develop core Agent Runtime capabilities and reusable platform services.\n- Build agent orchestration, memory management, context management, and runtime execution capabilities.\n- Develop APIs, SDKs, and platform components for scalable AI adoption.\n- Implement platform guardrails, security controls, governance, and policy enforcement capabilities.\n- Build testing, benchmarking, evaluation, and observability frameworks.\n- Troubleshoot runtime, performance, integration, scalability, and operational issues.\n- Conduct proof-of-concepts and evaluate emerging AI technologies.\n- Participate in full SDLC activities including requirements analysis, design, development, testing, and deployment.\n- Conduct code reviews and contribute to engineering standards and best practices.\n\nMust Haves / Required Skills:\n7 years of experience minimum, internships do not count\n\n- Python.\n- FastAPI.\n- Asynchronous programming (async/await).\n- API design and integration.\n- MongoDB.\n- Redis.\n\n- Skills / Experience That Are A Plus\n“nice to have”, but not necessarily required:\n\n- LangChain.\n- LangGraph.\n- Dependency injection.\n- Background processing.\n- Automated testing (unit, integration, regression, performance, evaluation).\n- CI/CD pipeline development.\n- Enterprise application development.\n- Security controls, governance, policy enforcement, and guardrails.\n- Look for candidates with enterprise platform engineering, API development, testing automation, CI/CD, and distributed systems experience.\n- Experience building reusable frameworks, SDKs, platform services, and developer tooling is highly relevant.\n- AI agent framework experience (LangChain, LangGraph, etc.) is beneficial but not required.\n\nWe are seeking a Software Engineer to help develop AI solutions. In this role, you will ensure that software is developed to meet functional, non-functional and compliance requirements, and solutions are well designed with maintainability/ease of integration and testing built-in from the outset.\n\nThis includes requirements analysis, architecture design, coding, testing, and deployment. Job expectations include a considerable amount of knowledge of development and testing practices common to the industry and design and architectural patterns.\n\nResponsibilities:\n\n- Design, develop, and enhance core Agent Runtime capabilities and reusable platform services that enable the development, deployment, orchestration, and management of AI agents.\n- Implement agent platform features, including tool integration frameworks, orchestration logic, memory management, context management, and runtime execution capabilities.\n- Develop and maintain platform controls, guardrails, policy enforcement mechanisms, and safety capabilities to support secure and compliant use of Generative AI solutions.\n- Build and enhance evaluation frameworks, automated testing capabilities, benchmarking tools, and observability solutions to measure agent quality, reliability, safety, and performance.\n- Design and implement APIs, SDKs, and platform components that enable scalable adoption of agent capabilities across engineering teams.\n- Translate business, product, and technical requirements into robust software solutions while adhering to enterprise architecture, security, and compliance standards.\n- Execute story refinement, technical analysis, solution design, and effort estimation activities throughout the software development lifecycle.\n- Perform proof-of-concept development and technical experimentation to evaluate emerging AI technologies, frameworks, and design patterns.\n- Develop and maintain automated unit, integration, regression, performance, and evaluation test suites to ensure platform stability and reliability.\n- Troubleshoot and resolve complex issues involving agent execution, model integration, runtime performance, scaling, observability, and platform operations.\n- Optimize platform components for performance, reliability, scalability, and cost efficiency across production environments.\n- Conduct peer code reviews and contribute to engineering standards, development practices, and reusable patterns that improve overall platform quality.\n- Ensure delivered solutions meet defined expectations for functionality, security, governance, quality, reliability, and operational supportability.\n\nExperience Required:\n\n- 7+ years of professional software engineering experience designing, developing, and supporting enterprise-grade applications and platform services.\n- Strong experience developing Python-based services using FastAPI, asynchronous programming patterns (async/await), API design, dependency injection, background processing, and integration with external systems and services.\n- Experience developing reusable platform capabilities, SDKs, frameworks, or shared services used by multiple engineering teams.\n- Experience implementing security controls, policy enforcement, guardrails, governance capabilities, and observability solutions for enterprise applications.\n- Experience designing and implementing automated testing frameworks, including unit, integration, regression, performance, and evaluation testing.\n- Experience developing CI/CD pipelines and automating software build, deployment, and release processes.\n- Strong troubleshooting and debugging skills with the ability to diagnose and resolve complex application, runtime, performance, and integration issues.\n- Experience working in Agile development environments and participating in requirements analysis, technical design, estimation, and software delivery.\n- Strong analytical, problem-solving, and communication skills with the ability to work effectively across engineering, product, and architecture teams.\n\nExperience Desired (not essential):\n\n- Kubernetes/OpenShift\n- Kafka and event-driven architecture\n- MongoDB and Redis\n- LangChain, LangGraph, or similar agent frameworks\n- OpenTelemetry and Splunk\n- Galileo, LangSmith, or similar AI evaluation and observability tools","datePosted":"2026-10-28T11:26:14.529Z","dateModified":"2026-10-28T11:26:14.529Z","hiringOrganization":{"@type":"Organization","name":"Matlen Silver Group","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"bfe39d8b06a9555de81f80fa"},"url":"https://jobsearcher.com/jobs/bfe39d8b06a9555de81f80fa"}}