We are seeking a Chief Python Developer to set technical strategy while staying hands-on across backend AI services, LLM orchestration, and agentic experiences. You will deliver production-grade code, mentor engineers, and partner with Security, Data, and Infrastructure while coordinating with US-based product and engineering peers. Help us raise the bar on observability, reliability, and operational excellence—apply now

Responsibilities

• Set technical direction for the pod and own architecture decisions within scope
• Deliver production-ready code for roughly 50%+ of your time across backend AI services, LLM orchestration, and frontend integration
• Design and build Agentic Experiences (AX) with streaming and low-latency agent UIs
• Mentor 3 Senior Engineers and 1 Data Engineer within the pod
• Collaborate daily with Security, Data, and Infrastructure teams
• Coordinate closely with US-based product and engineering colleagues
• Lead design reviews and clear blockers impacting sprint deliverables
• Maintain observability, SLOs, and reliability standards for pod services

Requirements

• Proven track record with 5+ years in software engineering, owning complex backend systems end to end
• Hands-on experience of 1–2+ years running LLM-era AI/ML platforms such as LangChain, LangGraph, or Bedrock in production; candidates with strong pre-LLM ML experience (TensorFlow, scikit-learn) who have clearly shifted to generative AI are also considered
• Expert-level Python skills for backend services and AI integration as the primary language for backend and AI work
• Practical expertise using LangChain, LangGraph, and LangSmith to orchestrate multi-step, multi-agent workflows with evaluation/observability
• Demonstrated experience delivering at production scale with AWS, Docker, and microservices
• Proficiency with GitHub Actions, ArgoCD, and OpenTofu/Terraform
• Baseline capability in secure coding practices, auth/authz awareness, and data governance
• Strong skills in API design for RESTful APIs and microservices
• English proficiency at B2 (Upper-Intermediate) level or above

Nice to have

• Strong React and TypeScript skills to contribute to UI-layer code and review frontend changes
• Awareness of MCP (Model Context Protocol) and new standards for agent interoperability
• Familiarity with AI evaluation tools such as RAGAS or custom eval frameworks
• Experience designing and tuning RAG pipelines using vector databases like Amazon Kendra and OpenSearch
• Knowledge of IAM and CIAM plus experience managing unstructured data (images, videos) with prompt context handled via LangGraph State

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn