Lead Python Architect: AI-Driven Backends

EPAM Systems, Inc.; United States; Remote; USD 140,000 - 180,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Upskilling & LinkedIn Learning access

Global career opportunities

Job summary

EPAM Systems, Inc. is seeking a Lead Python Developer to strengthen our backend with scalable microservices and AI-enabled APIs. You will guide a talented engineering team while shaping architecture and implementing robust RAG workflows and LLM integrations.

You will collaborate with frontend, data, and infrastructure teams to deliver cohesive, secure, and observable systems across cloud-native environments, leveraging LangChain and related tools.

Qualifications

• 5+ years in backend engineering with microservices and distributed systems design.
• Experience guiding and managing engineering teams.
• Strong Python skills for building high-performance backend infrastructure and cloud-native APIs.
• Hands-on AI-enabled development with GenAI tech.
• Familiarity with LangChain for LLM-driven applications.

Responsibilities

• Shape backend API architecture and orchestration systems for LLM connectivity.
• Build and sustain Retrieval-Augmented Generation (RAG) processes including document handling and embedding production.
• Develop and link agent-based tools using LangChain/LangGraph with MCP where applicable.
• Maintain security, data privacy, observability, and testing across backend functions.
• Coordinate with frontend, data engineering, and infra teams to deliver integrated solutions.

Skills

Backend engineering

Python

Distributed systems

Microservices

Team leadership

Generative AI

AWS

Docker

LangChain

LangGraph

Tools

LangChain

LangGraph

AWS

Docker

Kendra/OpenSearch

Terraform

Job description

EPAM Systems, Inc. is seeking a Lead Python Developer to strengthen our backend with scalable microservices and AI-enabled APIs. You will guide a talented engineering team while shaping architecture and implementing robust RAG workflows and LLM integrations.

You will collaborate with frontend, data, and infrastructure teams to deliver cohesive, secure, and observable systems across cloud-native environments, leveraging LangChain and related tools.