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Urgent! Chief Python Developer Jobs | EPAM Systems

Chief Python Developer



Job description

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
  • 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

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Required Skill Profession

Desarrollo De Software



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