AI Engineer, Brex

• 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

Desirable

• 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
• 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