aimlroles

AI Engineer, Workbench

Brex brex.com Open · verified Oct 22, 2026
San Francisco Mid-level AI Engineering

At a glance

Mid-level AI Engineering role at Brex. San Francisco · $216,000–$240,000 base.

SalaryStated by Brex
$216,000 – $240,000
Base salary for this role, in USD per year, as published in the posting.
This role, from BrexOur estimate for the market: $183,750–$246,250Median $215,000
Above the market median of $215,000 for mid-level AI engineering roles in San Francisco.
Worked out from 47 postings that stated pay, median $215,000. Last updated Oct 21, 2026.
RoleAI Engineering
SeniorityMid-level
LocationSan Francisco
Base pay$216,000–$240,000
PostedJun 24, 2026 · 4mo ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Turn the workbench into a reusable platform where teams can add different agents and product experiences
  • Define how agent capabilities plug into the app, including extension patterns, integration protocols, and application boundaries
  • Build workflows that bring conversations together with documents, charts, spreadsheets, and interactive data
  • Work with engineering, Product, and Design to shape user needs into reliable experiences, balancing usability and extensibility
  • Own features from initial design through launch, then use customer conversations and production feedback to improve them

What you bring

  • At least five years building and delivering applications for customers
  • You have helped build a production agent, agent framework, workbench, or agent-based product
  • You can design application structures and integrations that turn interaction needs into extensible interfaces and clear component boundaries
  • You have sustained hands-on familiarity with agent clients such as Claude, ChatGPT, and OpenCode

Who this fits

This role suits an engineer who can take ownership in ambiguous product work and collaborate across engineering, Product, and Design. It is based in San Francisco, with office attendance required on Monday, Wednesday, and Thursday; up to four weeks of remote work per year is available.

From the employer

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 world's 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

As an AI Engineer on our Finance Agents team, you’ll build Brex’s Agent Workbench: our singular conversational surface where finance professionals work with Brex’s agents through documents, charts, spreadsheets, and other interactive surfaces. You’ll help customers understand financial activity, investigate findings, revise policies, and steer agents doing consequential work.

Your first substantial project will be evolving the existing workbench into an extensible platform that can support multiple agent experiences, including bookkeeping and Brex Assistant. You’ll own the extension model, integration protocols, and application architecture that enable other teams to bring their agents and experiences into a coherent workspace.

You’ll establish the agentic design system with the technical depth to connect interaction design to platform decisions. Working closely with frontend engineers, agent teams, Product, and Design, you’ll build across application layers as needed and iterate with customers. The scope includes experiences such as policy editing, reporting, backtesting, and interactive data exploration, with priorities shaped by user needs.

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We require three coordinated days in the office per week — Monday, Wednesday, and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

  • Design and build a reusable agent workbench platform that supports multiple agent personas and enables other teams to integrate their agents and product experiences.
  • Design and implement extension models, integration protocols, and application architecture that connect agent capabilities with rich, consistent user interactions.
  • Build and ship customer-facing workflows that combine conversation with documents, charts, spreadsheets, and interactive artifacts, owning UI implementation and the supporting application behavior.
  • Partner with frontend engineers, agent teams, Product, and Design to turn ambiguous user needs into cohesive experiences, making thoughtful tradeoffs across usability, extensibility, and reliability.
  • Own features from design through production and iteration: talk directly with customers, investigate failures, and use feedback and observed outcomes to improve how users understand, configure, and steer agents.

Requirements

  • 5+ years of software development experience delivering customer-facing applications
  • Experience building or contributing to a production grade agent, agent harness, workbench, or agentic product.
  • Experience in application architecture and integration design, with the ability to translate interaction needs into extensible interfaces, protocols, and clear boundaries between components.
  • Deep familiarity with agent clients such as Claude, ChatGPT, and OpenCode, grounded in sustained use.
  • Strong product judgment and ownership in ambiguous environments. You work effectively across engineering, Product, and Design, challenge decisions constructively, and take responsibility for production quality and customer outcomes.

Bonus points

  • Full-stack experience spanning rich frontend interactions, backend services, APIs, and data modeling.
  • Experience building IDEs, developer tools, real-time collaborative applications, or similarly sophisticated web products.
  • Experience designing extension systems or reusable application platforms adopted by other teams.
  • Professional experience shipping LLM or agentic products, including human-in-the-loop workflows, tracing, evaluation, or feedback mechanisms.
  • Experience with financial software or other consequential workflows where transparency, traceability, and user control matter.

Compensation

The expected salary range for this role is $216,000 - $240,000 USD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.







Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.