F
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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