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Senior Software Engineer

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Onsite

Senior Software Engineer

Fieldguide

Senior Software Engineer

Skills

AI

1 month ago

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Important information


Salary:

$225,000 – $250,000 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

2 October 2026

What they need


Who you are

  • 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
  • 1+ years working specifically on agents
  • Strong experience working on an AI platform
  • Demonstrated experience building evals and performing error analysis
  • Backend engineering experience
  • 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

What the job involves

  • 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

Benefits

  • Health
  • Dental
  • PTO

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