AI Engineer - Enterprise

Benefits

Parental leave

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

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Seniority

Mid From the posting source

Schedule

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Weekend work

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About this role

AI Engineer - Enterprise San Francisco, California, United States Hilbert is building a reasoning engine that must navigate non-deterministic user behavior across data silos - turning months-long decision cycles into minutes. Fully agentic by design, our demand intelligence platform doesn't just call APIs; it solves the hard problem of orchestrating multi-step inference over messy, high-stakes enterprise data where deterministic answers don't exist. From Fortune 500 enterprises to beloved brands like FreshDirect, Blank Street, and Levain Bakery, operators run their growth on Hilbert. We're also co-building alongside leading AI companies. We're looking for an AI Engineer who can build production-grade AI systems end-to-end and serve as the technical AI counterpart for our largest enterprise customers - understanding their workflows, translating their challenges into agentic solutions, and earning their trust through clarity, rigor, and results. All with the ownership and urgency of a startup culture. This is not a "wire up a prompt chain and move on" role. You'll own core pieces of the AI stack that power Hilbert's demand intelligence platform - designing agent architectures, building evaluation systems, and making hard tradeoffs between accuracy, latency, and cost in production. You'll also be the person our biggest customers look to when they want to understand what the AI is doing, why it made a particular decision, and how it can be shaped to solve their specific problems. If you think in systems, have opinions about how agentic workflows should actually work, can hold your own in a room full of enterprise stakeholders,

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