AI Engineer, Product

Brex•San Francisco, CA

3d•$171,000 - $240,000•Hybrid

About The Position

Brex is seeking an AI Engineer, Product to join their team. This role involves building Brex's Audit Agent, an agentic system designed to review customer spend at scale and replace manual work traditionally done by BPO teams. The engineer will focus on the product harness surrounding the agent, designing and shipping workflows, surfaces, and data flows that ensure the agent's output is trustworthy and operable for customers. The role requires a blend of backend and frontend work, with a majority focus on backend tasks such as system design, data modeling, and API shaping, and a meaningful minority on the UI. The position sits between deep agent design and the customer-facing UI, requiring close collaboration with other engineers to translate product requirements into shipped features and manage the seam between agent reasoning and human workflow as a first-class product surface.

Requirements

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.
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 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.
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

Nice To Haves

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.

Responsibilities

Build and ship customer-facing features in production — from sketch to rollout to iteration based on real customer feedback.
Define the data contracts between the agent and the rest of Brex's financial system of record, and evolve them as the product gets sharper.
Stand up feedback and evaluation loops that let us quickly gather product signals and close them with product fixes — better signals, better surfaces, better workflows.
Run experiments on customer-facing behavior (UI flows, prompt-driven product changes, new review modes) and make calls based on what the data says.
Talk to customers and reviewers directly, bring what you learn back into the product, and prioritize what to build next on the team.