Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. The role involves building AI agents to automate and augment internal functions, requiring close collaboration with various teams to design, build, and ship agents that deliver real outcomes.
Responsibilities:
- Embed with partner teams to deeply understand workflows, including shadowing and learning different job functions
- Scope, design, and deploy agents that take over real workflows across internal orgs
- Integrate agents with internal systems, APIs, and data sources
- Define evaluation frameworks, success metrics, and feedback loops to measure and improve agent performance
- Build shared tooling and contribute to playbooks that accelerate deployments, while owning reliability, adoption, and business impact
Requirements:
- 4+ years in engineering, technical product/program management, applied AI, or a similar technical role, with a track record of shipping AI/automation systems to production
- Hands-on experience building with LLMs, agent frameworks, and tool-use patterns (e.g., MCP, function calling, RAG) across the full stack (data, APIs, orchestration, product)
- Experience designing and optimizing SQL and/or NoSQL databases, including data modeling, query performance tuning, and schema design
- Strong ability to decompose human workflows into scalable, agentic systems, grounded in a deep curiosity for how people work
- High ownership and cross-functional influence, with the ability to quickly build trust across teams and seniority levels
- Experience automating back-office functions rather than just customer-facing AI features
- Experience with OpenClaw, Hermes, or other general-purpose agent harnesses