AI Engineer, Workbench

brex· 28 open roles

San Francisco, CA On-siteFull-time2 weeks ago

Salary

Undisclosed

Experience

Mid

Job Type

Full-time

Posted

2 weeks ago

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About This RoleAI processing…

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.

Key Responsibilities

1
Design and build a reusable agent workbench platform that supports multiple agent personas and enables other teams to integrate their agents and product experiences.
2
Design and implement extension models, integration protocols, and application architecture that connect agent capabilities with rich, consistent user interactions.
3
Build and ship customer-facing workflows that combine conversation with documents, charts, spreadsheets, and interactive artifacts, owning UI implementation and the supporting application behavior.
4
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.
5
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.