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. Lead AI Software Engineer You will engineer integrations, automation, and enablement for LLM-based tooling across workflows like CI/CD, testing, and code review, and help teams adopt secure, responsible practices. Responsibilities Design AI-powered solutions embedded in SDLC workflows across requirements, development, testing, and CI/CD Build backend services and integrations that enable LLM-based tooling in engineering environments Create prototypes and deliver production-grade AI-assisted automation Integrate AI capabilities into CI/CD pipelines, code review processes, and testing frameworks Identify high-impact SDLC use cases for AI enablement Establish best practices for AI-assisted development Guide engineering teams in adopting AI tools through hands‑on support Define guardrails for secure and responsible AI usage Measure and report the effects of AI adoption on cycle time, quality, and productivity Requirements 5+ years of professional experience with Python, with additional exposure to Java or Node.js as a bonus Hands‑on experience integrating external APIs, including AI/LLM services Solid background in CI/CD pipelines and DevOps practices Deep understanding of microservices architecture with familiarity in Docker and Kubernetes Proven track record delivering production-grade services with scalability, monitoring, and logging Practical experience with LLM APIs and prompt design Strong understanding of end-to-end SDLC processes and improving developer productivity through tooling Demonstrated ability to drive adoption of new technical practices and translate AI capabilities into engineering improvements Excellent communication skills with the ability to lead demos, workshops, and internal technical sessions Advanced English proficiency (B2+/C1) Nice to have Change management experience to help drive adoption and sustain new AI-enabled engineering practices 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 opportunitiesEPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn #J-18808-Ljbffr