Summary: Seeking a Lead AI Software Engineer to integrate AI-driven capabilities into the SDLC, scale their use across engineering teams, and guide best practices for secure and responsible AI. Highlights: 1. Design and build AI-powered solutions embedded in SDLC workflows 2. Establish best practices for AI-assisted development and responsible AI usage 3. Guide engineering teams in adopting AI tools and improving productivity 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