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Software Engineer, Agents (Foundation Agents)

Fieldguide

Responsibilities

  • Build and maintain agent knowledge and evaluation infrastructure for Fieldguide's long-horizon agents
  • Build our next generation of agents at Fieldguide, solving increasingly complex customer use cases
  • Perform error analysis on agent behavior and help turn findings into concrete quality improvements
  • Build backend systems that support agent execution, evaluation, and monitoring
  • Partner with senior engineers on the team to execute the platform's reliability and quality roadmap

Requirements

  • Hands-on experience building AI products
  • Working knowledge of evals and error analysis
  • Backend engineering experience

Preferred

  • Platform engineering skills
  • Frontend experience
  • Distributed systems experience
  • What Should Excite You

About Us

Fieldguide is establishing a new state of trust for global commerce and capital markets by automating and streamlining the work of assurance and audit practitioners—specifically in cybersecurity, privacy, and financial audits. We build software for the people who enable trust between businesses.

We're based in San Francisco, CA, and backed by Goldman Sachs Alternatives, Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, and more. Over 50 of the top 100 accounting and consulting firms trust Fieldguide to power mission-critical work.

About the Role

The Foundation Agents team stewards the long-horizon agents powering the Fieldguide AI platform. We work at the frontier of AI product development: agent knowledge, evaluations, and improving quality and reliability at scale. If you're excited by long-horizon agents that do real-world work, this is the team for you.

Who You Are

  • You've built AI products, not just called an LLM API
  • You're curious about evals and error analysis. You want to understand

why

an agent failed, not just that it did

  • You're comfortable in the backend, with a bias toward reliable systems
  • You're motivated by long-horizon agents that do real work in production

Nice-to-have

  • Long-horizon agents: working on agents that do real, sustained work and not one-shot demos
  • Evaluation as a craft: Evals and error analysis are core to how this team improves quality
  • Platform-level impact: Your work shapes the reliability and quality of every agent built on top of it
  • Frontier problems: You're working on open problems in agent reliability that don't yet have established playbooks

Comprehensive health and wellness benefits

  • Flexible time off and work schedules
  • Technology reimbursements

401(k) plan

  • Twice-yearly in-person offsites across the U.S.
  • Wellness benefits starting on your first day

Our Values

Fearless

— Inspire and break down seemingly impossible walls

Fast

— Launch fast with excellence; iterate to perfection

Lovable

— Deliver happiness and 11-star experiences

Owners

— Execute and run the business with ownership

Win-win

— Create mutual value and earn trust for life

Inclusive

— Scale the best ideas with inclusive teams