AI Platform Engineer — Agent Workbench & Extensions

FDE Times; San Francisco (CA); Hybrid; USD 216,000 - 240,000; Full time

Benefits offered by this job

Hybrid work model

Remote work up to 4 weeks per year

Job summary

Brex is seeking an experienced AI Engineer to join the Finance Agents team in San Francisco. You will build Brex’s Agent Workbench and an extensible platform supporting multiple agent experiences, including bookkeeping and Brex Assistant.

Work closely with frontend engineers, Product, and Design to connect interaction design to platform decisions. The role emphasizes design-to-production ownership, customer feedback, and scalable, reliable agent infrastructure.

Qualifications

• 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.

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.

Skills

Software development

Agent workbench

Application architecture

Agent clients (Claude, ChatGPT)

Cross-functional ownership

Job description

Brex is seeking an experienced AI Engineer to join the Finance Agents team in San Francisco. You will build Brex’s Agent Workbench and an extensible platform supporting multiple agent experiences, including bookkeeping and Brex Assistant.

Work closely with frontend engineers, Product, and Design to connect interaction design to platform decisions. The role emphasizes design-to-production ownership, customer feedback, and scalable, reliable agent infrastructure.