Lead Python AI Engineer

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, 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.

• 5+ years of Python development experience, with a recent focus on LLM or GenAI projects
• At least 1 year of relevant leadership experience
• Hands-on experience with LangChain, LangGraph, or comparable agent frameworks
• Expertise in Amazon Web Services for running GenAI workloads
• Understanding of agentic design patterns and how to wire tools, planners, and memory together
• Knowledge of vector databases, embeddings, and prompt engineering
• Proficiency in Docker, Git-based CI/CD, and automated testing
• Skills in leveraging AI-assisted development tools (e.g., Cursor, GitHub Copilot, Code Interpreter) to accelerate prototyping and code reviews
• Solid communication skills and the ability to work with technical and non-technical stakeholders
• English language proficiency at an Upper-Intermediate level (B2) or higher

Nice to have:

• Familiarity with healthcare payer workflows, especially RFP/RFI processes
• Experience integrating with CRMs/workflow tools like Salesforce or ServiceNow
• Exposure to responsible AI, human-in-the-loop review, or safety tooling
• AWS or Python certifications

• Build Python services that power the GenAI agent using LangChain, LangGraph, or similar libraries
• Create retrieval-augmented generation (RAG) flows that pull the right context and streamline LLM responses
• Run the solution on AWS using containers, serverless functions, or managed AI services
• Instrument logging, monitoring, and guardrails to keep the agent reliable and safe
• Ensure the ingestion and use of RFP/RFI data follows healthcare data policies
• Collaborate with product, data science, and business teams to make sure the agent solves real problems
• Document code, APIs, and deployment steps so others can maintain and extend the solution
• Work within an Agile team and contribute to planning, demos, and retros
• Lead and technically guide the team