
About this role
The Senior/Lead AI Engineer will design, build, and operationalize production-grade AI agents and multi-agent workflows using Python and Azure AI Foundry. Responsibilities include implementing orchestration via frameworks like LangChain, LangGraph, and AutoGen, and optimizing RAG and prompt engineering to improve response quality. The role involves integrating agents with internal and external systems through APIs and managing deployment via Azure DevOps. You will collaborate closely with architects and data teams to deliver scalable, and reliable AI solutions across various business domains.
Skills & technologies
Must have
- Python
- Azure AI Foundry
- Semantic Kernel
- LangGraph
- LangChain
- AutoGen
- Strands SDK
- RAG
- Prompt Engineering
- REST APIs
- JSON
- OAuth2
- Azure DevOps
Nice to have
- Azure AI Services
- AWS Bedrock
- Model Context Protocol
- LLMOps
- MLOps
- Vector Databases
- Docker
- Microsoft Graph API
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Kindly note that this role supports remote work, but only from within Ukraine.
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
- 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
- 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
- With us you can:
- 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)
- We focus on your professional growth:
- You can 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 the instructors who are 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)
- What we offer:
- 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
EPAM strives to provide its global team of over 62,350 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest.