AI Engineering at Brex is redefining how businesses run their finances by building intelligent, autonomous systems directly into the Brex platform. Our teams develop AI agents that don’t just surface insights—they take action, optimizing spend, managing workflows, and making real-time decisions on behalf of our customers. By deeply integrating proprietary financial data with product and platform infrastructure, we’re turning complex financial operations into simple, automated experiences and setting a new standard for how modern finance works.
You’ll be a product engineer building Brex’s Audit Agent — an agentic system that reviews customer spend at scale and replaces the manual work traditionally done by BPO teams. The agent itself reasons; the surrounding product harness is what makes that reasoning useful, trustworthy, and operable for real customers.
That product harness is where you’ll live. You’ll design and ship the workflows, surfaces, and data flows that turn the agent’s output into something a reviewer can trust and act on — from the reviewer experience itself, to the contracts with Brex’s financial system of record, to the feedback loops that make the agent better over time. You’ll move fluidly between backend and frontend as the work demands, picking the right altitude for the problem rather than defending a layer.
This role sits between deep agent design and the customer-facing UI, and it leans toward whichever side the next user problem lives on. You’ll partner closely with the engineers driving each — translating ambiguous product requirements into shipped features, pushing back when the design isn’t right, and treating the seam between agent reasoning and human workflow as a first-class product surface.
The majority of your work will be backend: system design, data modeling, API shape. A meaningful minority will be on the UI itself, where you’ll build alongside our frontend engineers when that’s where the next user problem lives.