Skip to main content

Brex

Software Engineer, Forward Deployed Agent Builder

San Francisco, California, United States$152k–$240kmidAdded 1 month ago

About this role

Brex seeks a hands-on software engineer to design and deploy AI agents that automate internal workflows across the company. You'll partner with teams to understand their operations, then build and ship agentic systems that integrate with existing tools and internal infrastructure.

What you'll do

  • Embed with internal teams to understand workflows and job functions through shadowing and direct collaboration
  • Design, scope, and deploy AI agents that automate real workflows across organizational teams
  • Integrate agents with internal APIs, systems, and data sources
  • Establish evaluation frameworks, success metrics, and feedback mechanisms to measure agent performance
  • Build shared tooling and documentation to accelerate future agent deployments
  • Own reliability, adoption, and business impact of deployed solutions

What they're looking for

  • Large language models and agent frameworks (LLMs, tool-use patterns)
  • Production AI/automation system development
  • SQL and NoSQL database design and optimization
  • API integration and data modeling
  • Workflow decomposition and process automation
  • Cross-functional collaboration and influence
  • Full-stack technical development

Benefits

  • Hybrid work arrangement with 3 coordinated office days per week (Mon/Wed/Thu)
  • Up to 4 weeks fully remote work annually
  • Competitive salary range: $152,000 - $240,000
  • Equity and comprehensive compensation package
  • Work with industry-leading companies and cutting-edge AI technology
Apply on the employer's site

Opens the official application on the employer’s site. No login required.

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
View all jobs at Brex

Likely interview questions

  • Walk us through a production AI/automation system you've shipped end-to-end. What was the workflow you were automating, and how did you measure success?
  • Describe your experience building with LLMs and agent frameworks. What tool-use patterns have you implemented, and how did you handle failure modes or edge cases?
Unlock all 6 questions free — and practice them live →