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