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Job Description
📋 Description Build and own shared AI infrastructure: retrieval, grounding, RAG, observability. Collaborate across product teams to land foundation and drive adoption. Own quality and trust metrics; ensure regression detection with human in the loop. Lead lifecycle of LLM/ML work streams; decide build vs buy vs tune vs ground with RAG. Prototype hands-on to de-risk direction; expect to discard parts. Grow internal automation and document learnings for future teams. 🎯 Requirements Systems thinking with pattern recognition; bias to simplify. AI product depth: RAG, evaluation, models, agents. Platform mindset; foundations others build on; treat teams as customers. Cross-functional influence; drive adoption across teams. End-to-end shipping track record; idea to production to iteration. Strong evaluation instinct; define quality metrics early. Coachability; pushback constructively; set pace. 🎁 Benefits Medical, dental, vision with employer contributions; $500 HSA. Remote, in-office, or hybrid work options. Mental health and wellbeing resources. 12 weeks paid parental leave for new parents. 401(k) with 4% company match. Flexible PTO and $900/year wellness allowance.
