Senior AI Engineer / Data Scientist

We are seeking a Senior AI Engineer / Data Scientist with expertise in Model Context Protocol (MCP), Large Language Models (LLMs) and Python to design and implement AI-powered agentic solutions integrated with enterprise tools, APIs and data sources. The ideal candidate has strong experience building AI agents, integrating MCP servers/tools and developing reliable, production-grade conversational and automation workflows. Responsibilities * Build and optimize MCP-enabled AI agents and integrations * Develop AI workflows connecting LLMs with enterprise systems and tools * Improve chatbot/agent reliability, context handling and response quality * Collaboration with product, engineering, analytics and cloud teams * Support AI evaluation, experimentation and Responsible AI initiatives Requirements * 3+ years of experience in AI Engineering * Expertise in LLMs and Agentic AI solutions using OpenAI APIs on Azure * Advanced proficiency in Python for developing 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 * Background in designing and implementing MCP servers, tool schemas and context-sharing mechanisms between AI systems and enterprise platforms * Understanding of prompt engineering, context management and multi-step agent orchestration * Knowledge of hallucination prevention and evaluation techniques to improve reliability and response accuracy * Understanding of Responsible AI and compliance best practices, including governance, security and ethical AI guidelines * Experience with NLP and Conversational AI systems in production environments * Capability 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 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