EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are seeking an experienced AI Engineer to design and build production-grade Generative AI solutions with a strong focus on agentic workflows, multi-agent systems, and enterprise AI applications. The ideal candidate combines strong software engineering fundamentals with hands-on expertise in LLMs, RAG architectures, and AI agent frameworks.
Responsibilities
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Design, architect, and develop scalable Generative AI applications and agentic solutions for real-world business use cases
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Build and orchestrate AI agents using frameworks such as LangChain, LangGraph, Google ADK, CrewAI, AutoGen, Microsoft Copilot Studio, or similar technologies
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Develop and maintain backend services, APIs, microservices, and data pipelines that power AI-driven products
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Implement advanced AI patterns including RAG, Agentic RAG, tool/function calling, planning & reflection loops, and human-in-the-loop workflows
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Engineer and optimize prompts, system instructions, and agent workflows to improve reliability, accuracy, and user experience
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Integrate LLMs with enterprise systems, third-party APIs, vector databases, and knowledge repositories
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Monitor, evaluate, and continuously improve model and agent performance using observability tools, metrics, and user feedback
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Collaborate closely with Product, Engineering, Data, and Design teams to deliver impactful AI solutions
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Stay current with emerging AI technologies, frameworks, and best practices, contributing innovative ideas to the team
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Document architectures, design decisions, and reusable solution patterns while supporting knowledge sharing across teams
Requirements
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7 to 12 years of relevant professional experience
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Hands-on experience building applications using Generative AI and LLM technologies
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Strong proficiency in Python and experience developing production-ready applications
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Hands-on experience with at least two agentic AI frameworks such as LangChain, LangGraph, Google ADK, CrewAI, AutoGen, or Microsoft Copilot extensibility
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Experience with cloud AI platforms including Azure OpenAI, AWS Bedrock, or Google Vertex AI/ADK
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Strong backend development skills, including REST/gRPC APIs, asynchronous programming, Docker, and frameworks such as FastAPI or Flask
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Solid understanding of leading LLMs including OpenAI GPT models, Anthropic Claude, Google Gemini, and open-source alternatives
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Practical experience building RAG solutions using vector databases such as Pinecone, Weaviate, ChromaDB, or Qdrant
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Expertise in prompt engineering, LLM orchestration, structured outputs, guardrails, ReAct patterns, and evaluation techniques
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Strong problem-solving, system design, and architectural decision-making skills
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Excellent communication skills with the ability to collaborate effectively across global teams
We offer
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Opportunity to work on technical challenges that may impact across geographies
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Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
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Opportunity to share your ideas on international platforms
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Sponsored Tech Talks & Hackathons
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Unlimited access to LinkedIn learning solutions
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Possibility to relocate to any EPAM office for short and long-term projects
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Focused individual development
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Benefit package:
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Health benefits
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Retirement benefits
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Paid time off
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Flexible benefits
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Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)
