Lead AI Engineer / Data Scientist

We are looking for a Lead AI Engineer / Data Scientist to architect MCP-based agentic solutions with LLMs and Python across enterprise tools, APIs, and data. You will build production-grade conversational and automation workflows by integrating MCP servers/tools and improving orchestration, reliability, and context flow. Apply now to help ship dependable AI agents at scale Responsibilities * Design and optimize MCP-enabled AI agents and integrations * Develop AI workflows that connect LLMs with enterprise systems and tools * Enhance chatbot and agent reliability, context handling, and response quality * Collaborate with product, engineering, analytics, and cloud teams * Support AI evaluation, experimentation, and Responsible AI initiatives Requirements * Proven track record with 5+ years of experience in AI Engineering * Hands-on experience with LLMs and Agentic AI solutions using OpenAI APIs on Azure * Advanced proficiency in Python for building AI workflows, MCP integrations, and orchestration layers * Practical experience integrating AI agents with external systems, APIs, databases, and tools using MCP and function calling patterns * Strong background in designing and implementing MCP servers, tool schemas, and context-sharing mechanisms between AI systems and enterprise platforms * Deep understanding of prompt engineering, context management, and multi-step agent orchestration * Solid knowledge of hallucination prevention and evaluation techniques to improve reliability and response accuracy * Clear understanding of Responsible AI and compliance best practices, including governance, security, and ethical AI guidelines * Experience delivering NLP and Conversational AI systems in production environments * Demonstrated ability to troubleshoot AI agent workflows, tool integrations, and context synchronization issues across distributed systems * Familiarity with LiteLLM, RAG, and Function Calling * English proficiency at B2 (Upper-Intermediate) level or higher We offer * International projects with top brands * Work with global teams of highly skilled, diverse peers * Healthcare benefits * Employee financial programs * Paid time off and sick leave * Upskilling, reskilling and certification courses * Unlimited access to the LinkedIn Learning library and 22,000+ courses * Global career opportunities * Volunteer and community involvement opportunities * EPAM Employee Groups * Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn