Senior AI Engineer, Agent Systems

Product.ai builds verified truth infrastructure for shopping, including systems that validate product and checkout information. The Senior AI Engineer, Agent Systems will own agent orchestration, retrieval, evaluation gates, and MCP servers that support production code, content, and AI shopping agents.

Responsibilities:

• The agent loop architecture. The orchestration layer that plans, calls tools, and recovers from failure across the systems that write this company's code and content. You decide how loops are structured, retried, and stopped, and you own the incidents when a loop does something it shouldn't
• The retrieval layer. What an agent can know and how fast it can know it. You own chunking, indexing, freshness, and the judgment call on when an answer should say "I don't know" instead of guessing
• The eval gates on loop output. Working beside the seat that owns verdict science, you build the harnesses and regression corpora that decide whether a given loop's output is safe to ship. Unlike the deterministic build-gates on the infrastructure side, these run a judge, because whether a loop's output is right is subtler than whether a test assertion passed. A gate that never fails anything is not a gate
• The MCP servers. The interface other AI agents use to call this company's verified data. You own its correctness, its failure modes under bad input, and its behavior under load as more of the shopping web calls it
• Your seat charter. Within your first quarter you co-sign a charter for this seat: one machine-checkable number that proves it's working, and a written split of what you decide freely versus what you bring to the founder