Source description
About the role
Strong software engineering background with experience in enterprise or legacy systems
Hands-on experience manufacturing production-grade software in AI-assisted way at scale (not just autocomplete or chat usage, but sustained code production through prompts, agents, or workflows)
Experience working within mature CI/CD environments, with automated testing fully integrated into the delivery pipeline
Comfort working in regulated, risk‑aware environments, where correctness, explainability, and traceability matter
Ability to reason about system behavior, edge cases, and failure modes- even when the code is AI‑generated
Fluency in at least one major enterprise language or ecosystem (e.g., Java, C#, Python, JVM‑based stacks, etc.)
Strong intuition for when to trust the model- and when not to
Leading teams through the AI adoption journey and helping enterprises build scalable, robust AI software factory frameworks
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