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 building AI agents and Gen AI applications that help clients scale AI-powered support, training, and shopping experiences. In this Lead AI Engineer role, you will design agentic workflows, integrate Python-based solutions on Azure, and guide responsible AI practices—apply now. Responsibilities Build and refine AI agents using LLMs such as OpenAI APIs on Azure Architect and deliver function calling approaches to expand AI agent capabilities Improve chatbot accuracy and dependability using hallucination prevention techniques Integrate and streamline AI workflows with Python-based implementations Coordinate responsible AI and compliance work to align with ethical AI guidelines Lead NLP and Conversational AI efforts across design and delivery Collaborate with teams to enable agent-based training and AI-driven shopping solutions Requirements Proven experience with LLMs, Claude Code, or similar technologies with 5+ years of hands-on delivery Strong coding proficiency in Python for AI development, integration, and workflow automation Deep understanding of hallucination prevention techniques and MCP for reliable agent behavior Solid background in Responsible AI, compliance best practices, and ethical AI standards Expertise in Natural Language Processing (NLP) and Conversational AI use cases English proficiency at B2 (Upper-Intermediate) level or higher Nice to have Ability to define and implement testing strategies using chatbot performance metrics Proficiency in exploratory data analysis (EDA) and A/B testing methodologies Understanding of cloud services or ability to define cloud engineering requirements Experience creating data requirements for data engineering teams We offer International projects with top brands Work with global teams of highly skilled, diverse peers 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 #J-18808-Ljbffr