AI Engineer, Product

Why join us

Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly

Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most Tens of thousands of the worlds best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream

We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

AI at Brex

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.

What you’ll do

Youll be a product engineer building Brexs 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 youll live Youll design and ship the workflows, surfaces, and data flows that turn the agents output into something a reviewer can trust and act on — from the reviewer experience itself, to the contracts with Brexs financial system of record, to the feedback loops that make the agent better over time

Youll 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 Youll partner closely with the engineers driving each — translating ambiguous product requirements into shipped features, pushing back when the design isnt right, and treating the seam between agent reasoning and human workflow as a first-clas