Senior Python Developer: AI Agent Infra & Scale

EPAM Systems; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

EPAM Systems is seeking a Senior Python Developer to design, build, and deploy scalable intelligent agent infrastructure. You will focus on robust backend agent workflows, streaming protocols, and GitOps-driven deployment at scale.

The role requires deep asynchronous Python experience, LangGraph/LangChain expertise, and production-ready integration with CopilotKit and MCP tool interfaces. Expect Docker/Kubernetes environments and ArgoCD-based deployments.

Qualifications

• Expert in Python 3.11+ with async programming (asyncio, uvicorn).
• Hands-on experience with multi-agent systems using LangGraph and LangChain.
• Proven FastAPI experience (WebSockets, Background Tasks, SSE).
• Experience with CopilotKit Python SDK/runtime for co-agent interactions.
• Knowledge of MCP (Model Context Protocol) for tool integration servers.
• Docker and Kubernetes deployment; GitOps with ArgoCD/Helm.
• Nice to have 1+ year Java.
• Experience with vector databases (Pinecone, Milvus, Qdrant, PGVector).
• Frontend integration concepts (React/Next.js) and CopilotKit hooks.

Responsibilities

• Design, optimize, and maintain multi-agent state machines and tool-calling systems using FastAPI and LangGraph.
• Orchestrate model access, prompt routing, and vector store integrations with LangChain.
• Implement and scale the CopilotKit Python runtime for real-time backend/frontend streaming.
• Build standard interfaces for tool/data integrations using MCP for external service connections.
• Package services into Docker containers and deploy on Kubernetes with Helm and ArgoCD.
• Write high-performance, asynchronous Python code to handle parallel tasks and high-concurrency streaming.

Skills

Python

Async programming

FastAPI

LangGraph

LangChain

CopilotKit

MCP

Tools

Docker

Kubernetes

ArgoCD

Helm

LangSmith

Phoenix

Arize

Pinecone

Milvus

Job description

EPAM Systems is seeking a Senior Python Developer to design, build, and deploy scalable intelligent agent infrastructure. You will focus on robust backend agent workflows, streaming protocols, and GitOps-driven deployment at scale.

The role requires deep asynchronous Python experience, LangGraph/LangChain expertise, and production-ready integration with CopilotKit and MCP tool interfaces. Expect Docker/Kubernetes environments and ArgoCD-based deployments.