Overview

We are building an advanced AI platform and need a Lead Python Engineer with React to own backend delivery and guide key technical decisions.

You will integrate LLM/AI agents on AWS, shape reliable multi-environment architectures, and help the team ship production-ready features—apply now.

Responsibilities

  • Lead delivery of an enterprise-grade AI platform built with Python and AWS
  • Define architecture choices that keep production reliable across multi-environment deployment pipelines
  • Coach and mentor the team on backend engineering practices and AI integration
  • Integrate large language models into applications with strong prompt engineering and agent delegation
  • Manage cloud infrastructure as code using AWS CDK
  • Design and iterate on distributed systems with an emphasis on system architecture
  • Perform code reviews and drive reduction of technical debt
  • Build CI/CD pipelines with GitHub Actions and Docker
  • Ensure quality and performance via testing strategies and load testing

Requirements

  • Proven 5+ years of experience with Python (3.11+), including async/await patterns and Pydantic data modeling
  • Advanced expertise in FastAPI for delivering production REST APIs
  • Solid background in LLM/AI agent engineering, ideally with Anthropic Claude
  • Hands-on knowledge of AWS Cloud Services, including EKS, RDS, and S3
  • Strong proficiency in SQL and data-layer technologies such as SQLAlchemy and PostgreSQL
  • Practical experience with AWS Bedrock & AgentCore for managed LLM hosting
  • Demonstrated ability to build CI/CD pipelines and contribute to system design
  • Proven technical leadership skills with a track record of mentoring engineers
  • Upper-Intermediate English proficiency (B2)

Nice to have

  • Experience building modern frontend apps with React + TypeScript
  • Familiarity with pytest-based testing strategies and E2E testing tools
  • Knowledge of LLM observability and evaluation tooling such as Langfuse
  • Understanding of OpenTelemetry & Datadog for distributed tracing
  • Experience with security and compliance tools like SonarQube and Snyk

[GTS] Benefits (generic, except India)

  • 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