Lead AI Agent Developer

We are looking for a Lead AI Agent Developer to design, build, and operationalize production-grade AI agents, multi-agent workflows, and AI/ML solutions using Python, Azure AI Foundry, Semantic Kernel / Microsoft Agent Framework, LangGraph, LangChain, AutoGen, and Strands SDK. You will work alongside architects and data teams to take solutions from prototype to scalable, reliable production.

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 / Microsoft Agent Framework, LangGraph, LangChain, AutoGen, and/or 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

Requirements

• Proficiency in Python development for AI/agent solutions, with solid general scripting ability
• Hands-on experience building agents and multi-agent workflows with one or more orchestration frameworks: Semantic Kernel / Microsoft Agent Framework, LangGraph, LangChain, AutoGen, Strands SDK
• Expertise in Azure AI Foundry for building, deploying, and operating agents at scale (hosted agents, agent service, memory, evaluation)
• Solid understanding of LLM concepts: prompt engineering, RAG, grounding, tool/function calling, hallucination mitigation, and evaluation
• Skills in API integration (REST APIs, JSON, authentication via OAuth2 / API keys)
• Competency in designing agent behavior: state and memory management, tool use, error handling, fallback, and escalation paths
• Capability to collaborate with architects and data engineering teams to deliver scalable, production-grade solutions
• English proficiency at B2 level or higher

Nice to have

• Background in Azure AI Services and the broader Azure stack (Blob Storage, Container Services)
• Experience with multi-cloud agent deployment (e.g., AWS Bedrock via Strands SDK)
• Familiarity with Model Context Protocol (MCP) for tool/connector integration
• Knowledge of LLMOps / MLOps: monitoring, evals, and cost/latency optimization for AI Agents
• Experience with vector databases, retrieval infrastructure for RAG and Docker
• Skills in Microsoft Graph API integration and delivering in enterprise or regulated/validated environments (e.g., GxP), including governance and observability tooling

We offer

• CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT
  • Diversity of assignments and projects
  • Personal development plan
  • Mentoring programs and leadership development
  • Certification and professional development support
  • Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses
  • English courses taught by certified teachers
• CORPORATE BENEFITS
  • Extra leave days
  • Referral bonuses
• COMPENSATION PACKAGE
  • Competitive compensation paid in USD
  • Regular salary and performance reviews
• MEDICAL & HEALTHCARE
  • Private health insurance
• WORKING ENVIRONMENT
  • Recreation office zones with tea, coffee and snacks
  • Sports and game consoles
  • IT equipment and Microsoft's Software Assurance Home Use Program (HUP)

Please note that our Talent Attraction Team reviews applications and CVs submitted in English.

EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. We deliver globally and engage locally, making the future real for clients, partners, and employees. We are proud to be recognised by Forbes, Glassdoor, Newsweek, Time Magazine, Great Place to Work and kununu as a Most Loved Workplace around the world.