Note: The job is a remote job and is open to candidates in USA. EPAM Systems is seeking a Lead AI Software Engineer to embed AI-driven capabilities into the Software Development Life Cycle (SDLC) and scale their use across engineering teams. The role involves engineering integrations, automation, and enablement for LLM-based tooling across workflows like CI/CD, testing, and code review, while promoting secure and 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
Skills
- 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)
- Change management experience to help drive adoption and sustain new AI-enabled engineering practices
Benefits
- 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
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