Lead Python Backend Engineer for AI/LLM & RAG

EPAM Systems, Inc.

United States

Remote

USD 120,000 - 190,000

Full time

3 days ago
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Benefits offered by this job

Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling and certification courses
LinkedIn Learning access

Job summary

EPAM Systems, Inc. is seeking a Lead Python Developer to strengthen our engineering team in the United States. You will design and optimize backend API infrastructure, microservices, and cloud-native APIs, partnering with cross-functional peers to deliver scalable solutions.

The role involves implementing RAG workflows, LangChain-based tooling, ensuring security and testing, and influencing architectural direction. Leadership and hands-on Python expertise are essential for success.

Qualifications

  • Five+ years of backend development, microservices and distributed systems.
  • Experience building Python backend systems and cloud-native APIs.
  • Proven leadership directing development teams.
  • Hands-on experience with Generative AI and LangChain.
  • Secure coding practices with strong auth controls.

Responsibilities

  • Design backend API infrastructure and orchestration for large language models.
  • Develop and maintain RAG workflows including document processing and embedding creation.
  • Build and connect agent-driven tooling with LangChain, LangGraph, MCP as applicable.
  • Uphold security, data confidentiality, testing, and system visibility.
  • Influence architectural direction and set technical standards.
  • Collaborate with frontend, data engineering, and infrastructure teams to deliver integrated solutions.

Skills

Python
Microservices
Distributed systems
Team leadership
Generative AI
LangChain
AWS / Docker
RESTful APIs
Secure coding
English communication

Tools

LangChain
LlamaIndex
LangGraph
MCP

Job description

EPAM Systems, Inc. is seeking a Lead Python Developer to strengthen our engineering team in the United States. You will design and optimize backend API infrastructure, microservices, and cloud-native APIs, partnering with cross-functional peers to deliver scalable solutions.

The role involves implementing RAG workflows, LangChain-based tooling, ensuring security and testing, and influencing architectural direction. Leadership and hands-on Python expertise are essential for success.

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