Chief AI Engineer / Data Scientist

We are building enterprise-grade agentic AI and need a Chief AI Engineer / Data Scientist to deliver MCP- and LLM-driven solutions in Python. You will architect MCP servers and tool integrations across APIs, databases, and enterprise platforms while raising reliability, evaluation, and Responsible AI standards—apply now. Responsibilities * Design and optimize MCP-enabled AI agents and integrations * Develop AI workflows that connect LLMs with enterprise systems and tools * Enhance chatbot/agent reliability, context handling, and response quality * Collaborate with product, engineering, analytics, and cloud teams * Support AI evaluation, experimentation, and Responsible AI initiatives Requirements * 7+ years of experience in AI Engineering * Deep expertise in LLMs and Agentic AI solutions using OpenAI APIs on Azure * Advanced proficiency in Python for building AI workflows, MCP integrations, and orchestration layers * Hands-on experience integrating AI agents with external systems, APIs, databases, and tools using MCP and function calling patterns * Solid background in designing and implementing MCP servers, tool schemas, and context-sharing mechanisms between AI systems and enterprise platforms * Strong understanding of prompt engineering, context management, and multi-step agent orchestration * Working knowledge of hallucination prevention and evaluation techniques to increase reliability and response accuracy * Clear understanding of Responsible AI and compliance best practices, including governance, security, and ethical AI guidelines * Hands-on experience with 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