7+ years of experience spanning software or ML engineering and product development, or a closely related combination — we value technical depth and product ownership in equal measure
Demonstrated hands‑on experience building with LLMs and/or agentic frameworks — shipped products or features preferred over academic work
Working knowledge of how large language models and agentic systems behave in production - including tool use, prompt design, orchestration patterns, output variability, and failure modes
Ability to write clear product requirements and define, review, and challenge technical specifications without requiring engineering support
Experience evaluating and testing AI outputs — defining acceptance criteria, identifying edge cases, and working with engineering teams to resolve model or integration issues
Solid Python skills and familiarity with APIs, data pipelines, and cloud infrastructure
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