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Bretton AI

Software Engineer, Product

San Francisco, CA$168k–$213kfulltimemidAdded 1 month ago

About this role

Bretton AI is seeking a Product Engineer to build AI-powered compliance automation tools for financial services. You'll own full-stack features that help customers manage AML investigations and regulatory workflows, combining technical depth with direct customer collaboration.

What you'll do

  • Design and ship full-stack features for case management, reporting, and analytics platforms
  • Build document analysis and AI agent workflow systems that coordinate tools while maintaining human oversight
  • Develop configuration and customization tools for compliance workflows
  • Gather customer requirements and iterate based on production feedback
  • Own features end-to-end from conception through deployment and monitoring
  • Create intuitive interfaces and backend systems processing thousands of compliance cases

What they're looking for

  • Full-stack development (backend services, APIs, databases, frontend)
  • TypeScript, Python, Node.js, React
  • Workflow orchestration and process automation
  • AI/LLM integration into production applications
  • Data modeling and distributed systems design
  • Cloud infrastructure
  • Product thinking and end-to-end ownership mindset
  • Clear communication across technical and non-technical audiences

Benefits

  • $168k–$213k base salary plus equity
  • Comprehensive healthcare, 401k matching, commuter benefits
  • 15 days PTO plus unlimited sick days and flexible leave
  • Meal and transportation perks (DoorDash, Uber home coverage)
  • Customer-facing work with measurable impact
  • High-growth environment with significant ownership opportunities
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Bretton AI

Bretton AI builds an AI agent platform that automates compliance and regulatory operations for financial institutions. The company is hiring engineers across design, infrastructure, product, deployment, and solutions to develop and scale its compliance automation tools.

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Likely interview questions

  • Walk us through a time you shipped a customer-facing feature from conception to production. How did you gather requirements, and how did you know it solved the right problem?
  • Describe your experience building workflow engines, orchestration systems, or automation tools. What were the toughest technical challenges?
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