We are looking for a Lead AI Software Engineer to embed AI-driven capabilities into the SDLC and scale their use across engineering teams. 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—apply now.
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
-
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
EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.
