AI Engineer, Workbench
Brex · San Francisco, California, United States · Engineering · listed June 24, 2026
The shape of it
Seniority
Senior
Experience asked
5+ years
Where
Hybrid
Stated pay
$216,000 – $240,000 USD
Requirements listed
5
Length
866 words
In the posting’s own words
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.
What it asks for · 5
- 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.
Also a plus
- 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.
What the job covers
- 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.
Tools and skills named
Data
- Data modeling
Models & research
- LLM
Product & design
- Design systems
Words the posting leans on
- agent17×
- experience14×
- design9×
- product9×
- platform6×
- customers5×
- user5×
- build4×
- finance4×
- financial4×
- interaction4×
- workbench4×
- workflows4×
- agentic3×
- architecture3×
- data3×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
The posting, your resume, and the gaps between them. One click loads all three.
More open at Brex
- Accountant Partnerships ManagerSan Francisco, California, United States
- Accountant Partnerships ManagerNew York, New York, United States
- Accounting Partner Growth ManagerNew York, New York, United States
- Accounting Partner Growth ManagerSan Francisco, California, United States
- Account Protection SpecialistVancouver, British Columbia, Canada
- Brand Marketing LeadNew York, New York, United States; San Francisco, California, United States; United States