Senior Software Engineer, Agents (Foundation Agents)

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.

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. As a Senior Software Engineer, Agents, you'll take ownership of how the team measures and improves agent quality, and help drive the platform forward.

Evals strategy and error-analysis practice, shaping how the team measures and improves agent quality

Design and build agent knowledge and evaluation infrastructure for Fieldguide's long-horizon agents

Lead error analysis on agent behavior, turning findings into concrete platform-level reliability improvements

Build and harden backend systems that support agent execution, evaluation, and monitoring at scale

Drive the AI platform's reliability and quality roadmap forward, working closely with the broader AI team

Mentor engineers on the team, raising the bar on eval rigor and error-analysis practice

You've built AI products end-to-end, with real ownership over agent quality outcomes

You think in evals and error analysis as a discipline; you dig into why an agent failed and fix the systemic cause

You're strong in the backend and comfortable owning platform-level systems

You're motivated by long-horizon agents that do real work in production

You multiply the people around you, not just your own output

Strong platform engineering skills

Frontend experience

Distributed systems experience

Long-horizon agents: Working on agents that do real, sustained work

Evaluation as a craft: Evals and error analysis are core to how this team improves quality, not an afterthought

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 have established playbooks yet

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