Lead AI Agent Engineer - Production & Orchestration

EPAM Systems; Georgia; On-site; USD 46,000 - 69,000; Full time

Benefits offered by this job

Relocation opportunities within our 55

Certifications (GCP, Azure, AWS)

Unlimited access to internal learning

Free English classes

Employee Stock Purchase Plan

Five trust days per year

Job summary

EPAM Systems seeks a Lead AI Agent Developer to design, build, and operationalize production-grade AI agents and multi-agent workflows using Python, Azure AI Foundry, Semantic Kernel, LangGraph, LangChain, AutoGen and Strands SDK.

You will collaborate with architects and data teams to move solutions from prototype to scalable production, ensuring reliability and cost efficiency across enterprise use cases. Remote work within Georgia is supported.

Qualifications

• Proficiency in Python development for AI/agent solutions, with solid scripting ability.
• Hands‑on experience building agents and multi‑agent workflows with orchestration frameworks listed.
• Expertise in Azure AI Foundry for building, deploying, and operating agents at scale.
• Knowledge of LLM concepts: prompt engineering, RAG, grounding, tool/function calling, and evaluation.
• Experience with API integration (REST, JSON, OAuth2, API keys).
• Ability to design agent behavior: state/memory management, tool use, error handling.
• English proficiency at B2 level or higher.

Responsibilities

• Design, build, and maintain production-grade AI agents and multi-agent workflows for enterprise use cases.
• Integrate and operationalize AI/ML models and agent workflows into scalable production systems.
• Implement orchestration using Semantic Kernel, LangGraph, LangChain, AutoGen, and Strands SDK.
• Implement RAG, grounding, and prompt optimization to improve response quality and reduce hallucinations.
• Integrate agents with internal and external systems via APIs and connectors.
• Design and implement error handling, fallback flows, and escalation paths.
• Perform testing and evaluation of agents and automation workflows.
• Collaborate with architects and data teams to translate requirements into deployable AI solutions.
• Support deployment, CI/CD, and release management (Azure DevOps).
• Monitor and continuously improve agent performance, reliability, and cost efficiency.

Skills

Python development

Orchestration frameworks

Azure AI Foundry

LLM concepts

API integration

Agent behavior design

Team collaboration

English proficiency B2+

Tools

Semantic Kernel

Microsoft Agent Framework

LangGraph

LangChain

AutoGen

Strands SDK

Job description

EPAM Systems seeks a Lead AI Agent Developer to design, build, and operationalize production-grade AI agents and multi-agent workflows using Python, Azure AI Foundry, Semantic Kernel, LangGraph, LangChain, AutoGen and Strands SDK.

You will collaborate with architects and data teams to move solutions from prototype to scalable production, ensuring reliability and cost efficiency across enterprise use cases. Remote work within Georgia is supported.