AI Engineer (Senior/Lead)

About the Position

We are seeking a Senior/Lead AI Engineer 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

• 5+ years of experience in strong 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)
• 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)
• Experience designing agent behavior: state and memory management, tool use, error handling, fallback, and escalation paths
• Comfort collaborating with architects and data engineering teams to deliver scalable, production-grade solutions
• English proficiency at B2 level or higher

Nice to Have

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

We Offer

• Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
• Receive the necessary equipment to perform your work tasks
• Change projects and technology stacks within EPAM
• Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
• Relocation opportunities may be available for eligible candidates, depending on the role and openings at other EPAM locations
• Participate in volunteer, charity programs, and communities (both technical and interest-based)
• Focus on your professional growth:
  • Plan your individual career path together with your manager
  • Receive regular feedback from colleagues
  • Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
  • Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
  • Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
  • Access corporate accounts on LinkedIn Learning, Get Abstract, and other partner resources
  • Study at EPAM Solution Architecture School with practicing architects
  • Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school, and more
  • Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events, and conferences annually)
• Vacation and sick leave (including a sick leave without a medical certificate)
• A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
• Medical insurance for family members at corporate rates
• Company support during significant life events (childbirth or adoption, marriage, etc.)
• Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
• E-kids program - a free programming language training program for EPAMers' children