We are seeking a Lead Python Developer to drive technical direction and hands-on development within our pod, focusing on backend AI services, LLM orchestration and agentic experiences. You will write production code, mentor engineers, and collaborate cross-functionally with Security, Data and Infrastructure teams while partnering with US-based product and engineering counterparts. This role blends embedded leadership with deep technical ownership, ensuring observability, reliability and operational excellence across pod services.
Responsibilities
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Set technical direction for the pod and own architecture decisions within scope
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Write production code (~50%+ of the time) across backend AI services, LLM orchestration and frontend integration
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Design and build Agentic Experiences (AX) with streaming, low-latency agent UIs
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Mentor 3 Senior Engineers and 1 Data Engineer within the pod
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Partner with Security, Data and Infrastructure teams on daily collaboration
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Align with US-based product and engineering counterparts
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Conduct design reviews and unblock sprint deliverables
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Enforce observability, SLOs and reliability standards for pod services
Requirements
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5+ years of software engineering experience with a track record of owning complex backend systems end-to-end
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1–2+ years on LLM-era AI/ML platforms such as LangChain, LangGraph or Bedrock in a production context; candidates with deeper pre-LLM ML backgrounds (TensorFlow, scikit-learn) who have made a clear and recent pivot to generative AI will also be considered
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Expert-level proficiency in Python for backend services and AI integration as the primary language for all backend and AI work
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Hands-on expertise in LangChain, LangGraph and LangSmith for orchestrating multi-step, multi-agent workflows and evaluation/observability
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Proven background in AWS, Docker and microservices at production scale
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Skills in GitHub Actions, ArgoCD and OpenTofu/Terraform
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Competency in secure coding practices, auth/authz awareness and data governance as default standards
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Expertise in API design including RESTful APIs and microservices
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English proficiency at B2 level or higher
Nice to have
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Fluency in React and TypeScript with the capability to contribute to UI-layer code and review frontend work
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Familiarity with MCP (Model Context Protocol) and emerging agent interoperability standards
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Knowledge of AI evaluation tooling such as RAGAS or custom eval frameworks
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Background in designing and optimizing RAG pipelines with vector databases (Amazon Kendra, OpenSearch)
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Understanding of identity/security domains (IAM, CIAM) and handling unstructured data (images, videos) with prompt context management via LangGraph State
We offer
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International projects with top brands
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Work with global teams of highly skilled, diverse peers
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Healthcare benefits
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Employee financial programs
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Paid time off and sick leave
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Upskilling, reskilling and certification courses
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Unlimited access to the LinkedIn Learning library and 22,000+ courses
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Global career opportunities
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Volunteer and community involvement opportunities
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EPAM Employee Groups
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Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
