{"schemaVersion":"jobsearcher.job.v1","id":"c63ed72eb2f5a947f84729cc","url":"https://jobsearcher.com/jobs/c63ed72eb2f5a947f84729cc","canonicalUrl":"https://jobsearcher.com/jobs/c63ed72eb2f5a947f84729cc","title":"Lead Python AI Engineer","description":"We are looking for a Lead Python AI Engineer to build robust, AI-powered API services and agentic workflows. In this role, you will bridge the gap between traditional backend systems and modern language models, focusing on secure and scalable LLM interactions with internal systems, vector databases, and external tools via orchestration frameworks.\n\nWe treat LLMs not as magic, but as components in a secure, scalable distributed system. If you take pride in API reliability, graceful failure handling, and production-grade AI integration, we’d love to talk to you.\n\nReq# 1109260679\n\nResponsibilities\n\nEnd-to-End Ownership: Own API contracts and service reliability end-to-end. AI edge cases must fail gracefully without compromising system integrity\nRigorous Systems Engineering: Integrate LLMs with a strong engineering foundation—baking in evaluation, comprehensive observability, robust fallback handling, and cost awareness\nReusable Frameworks: Build reliable, reusable orchestration frameworks and logic designed for downstream developer consumption\nDesign and build scalable backend API services and advanced LLM orchestration layers\nImplement and maintain complex RAG (Retrieval-Augmented Generation) pipelines, covering document ingestion, chunking, embedding, and retrieval optimization\nDevelop and connect agent tools using LangChain, LangGraph, and potentially MCP (Model Context Protocol)\nEnsure top-tier security, privacy, enterprise-grade observability, and comprehensive test coverage across all backend workflows\nContribute actively to architecture decisions and engineering standards within your pod\nCollaborate cross-functionally with frontend engineers, data engineers, and infrastructure teams\n\nRequirements\n\nBackend Experience: 7+ years of backend engineering with a heavy focus on microservices and distributed systems, using Python for high-performance backend services and cloud-native APIs\nCloud & Infrastructure: Hands-on experience with AWS, Docker, ECS/EKS, and RESTful APIs\nSecurity First: Proven experience with secure coding practices and strong authentication/authorization (auth/authz) fundamentals\nAgentic Frameworks: Practical, hands-on experience with frameworks such as LangChain, LlamaIndex, or LangGraph\nAI SDK Integration: 1–2+ years of hands-on experience integrating AI SDKs (OpenAI, Anthropic/Claude, AWS Bedrock, or equivalent) in production environments\nAI Observability & Evaluation: Familiarity with AI evaluation tooling or real-time APM platforms (e.g., LangSmith, Langfuse, Arize)\nRAG Pipelines: Practical experience working with vector databases (e.g., Amazon Kendra, OpenSearch), advanced embedding strategies, and retrieval systems\n\nNice to have\n\nFrontend Fluency: 1–2+ years of experience with React and TypeScript\nScale & Deployment: Experience deploying applications to EKS environments at scale\nInteroperability & Security: Knowledge of agent interoperability patterns (MCP) and identity/security domain models (IAM, CIAM)\nSecondary Languages: Professional proficiency in Java, Node.js, or Go\n\nWe offer\n\nMedical, Dental and Vision Insurance (Subsidized)\nHealth Savings Account\nFlexible Spending Accounts (Healthcare, Dependent Care, Commuter)\nShort-Term and Long-Term Disability (Company Provided)\nLife and AD&D Insurance (Company Provided)\nEmployee Assistance Program\nUnlimited access to LinkedIn learning solutions\nMatched 401(k) Retirement Savings Plan\nPaid Time Off – the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time)\nPaid Holidays - nine (9) total per year\nLegal Plan and Identity Theft Protection\nAccident Insurance\nEmployee Discounts\nPet Insurance\nEmployee Stock Purchase Program\nIf otherwise eligible, participation in the discretionary annual bonus program\nIf otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program\n\nFor remote work in New York City only.\n\nEPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.\nEngineer the Future with a Career at EPAM\n\nThis posting includes a good faith range of the salary EPAM would reasonably expect to pay the selected candidate. The range provided reflects base salary only. Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training; the demand for the role; and overall business and labor market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: $130,000 - $160,000. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.\n\nApplications will be accepted on a rolling basis.\n\nEPAM will not provide new H-1B visa sponsorship for this position. Candidates with existing transferable H-1B status may be considered.\n\nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.","company":"EPAM Systems","rawCompany":"epam systems","city":"Myrtle Point","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-10-17T07:58:42.733Z","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":"Lead Python AI Engineer","description":"We are looking for a Lead Python AI Engineer to build robust, AI-powered API services and agentic workflows. In this role, you will bridge the gap between traditional backend systems and modern language models, focusing on secure and scalable LLM interactions with internal systems, vector databases, and external tools via orchestration frameworks.\n\nWe treat LLMs not as magic, but as components in a secure, scalable distributed system. If you take pride in API reliability, graceful failure handling, and production-grade AI integration, we’d love to talk to you.\n\nReq# 1109260679\n\nResponsibilities\n\nEnd-to-End Ownership: Own API contracts and service reliability end-to-end. AI edge cases must fail gracefully without compromising system integrity\nRigorous Systems Engineering: Integrate LLMs with a strong engineering foundation—baking in evaluation, comprehensive observability, robust fallback handling, and cost awareness\nReusable Frameworks: Build reliable, reusable orchestration frameworks and logic designed for downstream developer consumption\nDesign and build scalable backend API services and advanced LLM orchestration layers\nImplement and maintain complex RAG (Retrieval-Augmented Generation) pipelines, covering document ingestion, chunking, embedding, and retrieval optimization\nDevelop and connect agent tools using LangChain, LangGraph, and potentially MCP (Model Context Protocol)\nEnsure top-tier security, privacy, enterprise-grade observability, and comprehensive test coverage across all backend workflows\nContribute actively to architecture decisions and engineering standards within your pod\nCollaborate cross-functionally with frontend engineers, data engineers, and infrastructure teams\n\nRequirements\n\nBackend Experience: 7+ years of backend engineering with a heavy focus on microservices and distributed systems, using Python for high-performance backend services and cloud-native APIs\nCloud & Infrastructure: Hands-on experience with AWS, Docker, ECS/EKS, and RESTful APIs\nSecurity First: Proven experience with secure coding practices and strong authentication/authorization (auth/authz) fundamentals\nAgentic Frameworks: Practical, hands-on experience with frameworks such as LangChain, LlamaIndex, or LangGraph\nAI SDK Integration: 1–2+ years of hands-on experience integrating AI SDKs (OpenAI, Anthropic/Claude, AWS Bedrock, or equivalent) in production environments\nAI Observability & Evaluation: Familiarity with AI evaluation tooling or real-time APM platforms (e.g., LangSmith, Langfuse, Arize)\nRAG Pipelines: Practical experience working with vector databases (e.g., Amazon Kendra, OpenSearch), advanced embedding strategies, and retrieval systems\n\nNice to have\n\nFrontend Fluency: 1–2+ years of experience with React and TypeScript\nScale & Deployment: Experience deploying applications to EKS environments at scale\nInteroperability & Security: Knowledge of agent interoperability patterns (MCP) and identity/security domain models (IAM, CIAM)\nSecondary Languages: Professional proficiency in Java, Node.js, or Go\n\nWe offer\n\nMedical, Dental and Vision Insurance (Subsidized)\nHealth Savings Account\nFlexible Spending Accounts (Healthcare, Dependent Care, Commuter)\nShort-Term and Long-Term Disability (Company Provided)\nLife and AD&D Insurance (Company Provided)\nEmployee Assistance Program\nUnlimited access to LinkedIn learning solutions\nMatched 401(k) Retirement Savings Plan\nPaid Time Off – the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time)\nPaid Holidays - nine (9) total per year\nLegal Plan and Identity Theft Protection\nAccident Insurance\nEmployee Discounts\nPet Insurance\nEmployee Stock Purchase Program\nIf otherwise eligible, participation in the discretionary annual bonus program\nIf otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program\n\nFor remote work in New York City only.\n\nEPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.\nEngineer the Future with a Career at EPAM\n\nThis posting includes a good faith range of the salary EPAM would reasonably expect to pay the selected candidate. The range provided reflects base salary only. Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training; the demand for the role; and overall business and labor market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: $130,000 - $160,000. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.\n\nApplications will be accepted on a rolling basis.\n\nEPAM will not provide new H-1B visa sponsorship for this position. Candidates with existing transferable H-1B status may be considered.\n\nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.","datePosted":"2026-10-17T07:58:42.733Z","dateModified":"2026-10-17T07:58:42.733Z","hiringOrganization":{"@type":"Organization","name":"EPAM Systems","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Myrtle Point","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c63ed72eb2f5a947f84729cc"},"url":"https://jobsearcher.com/jobs/c63ed72eb2f5a947f84729cc"}}