Senior AI Engineer

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

• 3+ years of relevant experience in AI Engineering or a related field
• Proficiency in Python and the modern AI engineering stack
• Expertise in LangChain, LangGraph, and OpenAI SDK
• Familiarity with Hugging Face transformers and multi-agent workflow optimization
• Skills in asynchronous execution, state management, and concurrency
• Background in designing and integrating with complex REST and GraphQL endpoints
• Competency in handling structured data formats (JSON, XML) for tool calling
• Hands-on experience with containerization using Docker
• Knowledge of cloud platforms such as AWS, GCP, or Azure for deploying production-grade AI applications
• Understanding of vector databases (Pinecone, Weaviate, Chroma) and embedding strategies for semantic search and RAG implementation
• English proficiency at an Upper-Intermediate level (B2) or higher

• Architect, build, and orchestrate complex multi-agent workflows using LangGraph and LangChain to handle sophisticated queries
• Develop and maintain reliable tool definitions for interacting with complex internal APIs, ensuring the AI can accurately parse, validate, and utilize data
• Build and optimize Retrieval-Augmented Generation (RAG) systems to ground model responses in proprietary data
• Ensure AI responses are structured for rich UI rendering, enabling the generation of dynamic graphs, charts, and interactive elements
• Create rigorous testing frameworks, evaluation pipelines, and metrics to assess agent performance, reliability, and accuracy in production
• Take validated prototypes to production readiness, addressing guardrails, security, cost, and scale
• Debug and optimize multi-agent workflows with a focus on asynchronous execution, state management, and concurrency
• Deploy and maintain production-grade AI applications with a strong DevOps mindset

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