AI Engineer (Product)

Join Brex, a company revolutionizing business finance through AI technology. As an AI Engineer, you'll build the Audit Agent, an intelligent system that automates financial reviews. Your work will involve backend system design, data modeling, and API development, as well as frontend UI development when necessary. You'll collaborate closely with other engineers and directly engage with customers to gather feedback and improve the product.

• Concevoir et expédier les flux de travail, les surfaces et les flux de données qui transforment la sortie de l'agent en quelque chose qu'un examinateur peut faire confiance et agir.
• Définir les contrats de données entre l'agent et le reste du système financier de Brex, et les faire évoluer à mesure que le produit devient plus précis.
• Mettre en place des boucles de rétroaction et d'évaluation qui nous permettent de recueillir rapidement des signaux sur le produit et de les corriger avec des améliorations.
• Product mindset: you reason about users, workflows, and outcomes first, and treat the system as the means to an end. Comfort with ambiguity and willingness to talk to customers directly
• Strong backend foundation — system design, data modeling, API shape — and the disposition to ship the UI yourself when that's what the user problem needs, rather than handing it off
• Strong track record of shipping customer-facing features end-to-end across both backend and frontend — you don't bounce work over a wall, and you've built enough of each to have real opinions
• Strong bias towards action — you've operated in environments where the next thing to build wasn't handed to you in a ticket, and you've shipped things that didn't exist before
• Comfort working across team boundaries and pushing back on decisions outside your direct ownership when the seam isn't right — agent design, UX, data model, all fair game
• Early-stage startup experience, or time on a small team where you owned a product surface end-to-end
• Experience building products on top of LLMs or agentic systems — particularly the surrounding harness (evaluation, tracing, feedback loops, human-in-the-loop workflows)
• Background in fintech, compliance, audit, fraud, or other domains where review workflows and traceability matter
• Experience operating where the underlying system is non-deterministic and the product has to compensate for that
• Track record of being the engineer teams pull in when a project is stuck across backend, frontend, and a third system that nobody fully owns