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Brex

AI Engineer, Ecosystem

San Francisco, California, United States$171k–$240kmidAdded 1 month ago

About this role

Lead technical ownership of Brex's AI ecosystem integrations with third-party platforms like OpenAI and Claude. Design secure, production-grade systems that allow external assistants to interact with Brex's financial data and capabilities while maintaining reliability, auditability, and user trust.

What you'll do

  • Own and roadmap Brex's MCP Apps across OpenAI, Claude, Slack, and other AI platforms
  • Define technical, UX, and reliability standards for Brex integrations in external AI ecosystems
  • Design secure integration patterns including permissions, access controls, and cross-boundary user actions
  • Build and operate production integrations resilient to evolving platforms and unpredictable clients
  • Partner cross-functionally with Security, Platform, Sales, and internal teams on integration quality
  • Establish reusable AI capability standards and shared components for internal and external use

What they're looking for

  • Production software development and system integration
  • Identity, authentication, and OAuth/RBAC expertise
  • Third-party API integration and operations
  • Product ownership with external customers
  • Secure data access across system boundaries
  • Written communication and end-to-end ownership
  • AI/agentic system experience
  • Marketplace app publishing and maintenance

Benefits

  • Hybrid work: 3 coordinated days in San Francisco office per week
  • Up to 4 weeks fully remote work annually
  • Competitive salary: $171,000 - $240,000 USD
  • Work with world-class AI infrastructure and finance platform
  • Collaborate with top talent across engineering and product
  • Professional growth opportunities in emerging AI ecosystem space
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Brex

Brex builds mission-critical financial infrastructure and credit decisioning systems that power banking and spending management for companies globally. The company is hiring Backend Software Engineers II to develop scalable systems including underwriting engines, real-time data pipelines, and ML-powered credit models across 200+ markets.

Website
brex.com
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Likely interview questions

  • Walk us through a production integration you owned with a third-party platform. How did you handle changes or breaking updates from the external platform, and what went wrong (if anything)?
  • Describe your experience with OAuth, authentication, and permission models across system boundaries. How would you design secure access for Brex data exposed through third-party AI assistants?
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