AI Product Engineer

Full-time Engineering

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Key Responsibilities:

• Own a focused portfolio, not a sprawling one. You'll carry a capped, ranked set of active initiatives (target: 2-3 max concurrently) with clear launch dates — depth over breadth.
• Build, don't just spec. Prototype AI features directly — LLM-powered workflows, agents, automations — using tools like Python, LLM APIs, RAG pipelines, and no-code/low-code platforms — so initiatives can move without sitting in the dev backlog.
• Lock scope before build starts. Get sign-off on a PRD before development begins; any new requirement after that goes through a lightweight change-request, not a silent scope add.
• Run a real decision cadence. Every initiative has a named decision-owner and a standing checkpoint — no initiative sits in limbo waiting on someone to decide.
• Partner with Engineering as a peer, not a queue. Work di...