Senior Software Engineer (Foundation Agents)

Fieldguide; United States; On-site; USD 170,000 - 210,000; Full time

Benefits offered by this job

Health

Dental

PTO

Job summary

Fieldguide is seeking a Senior Software Engineer, Agents, to own how we measure and improve agent quality. You will drive evals, error-analysis, and platform reliability for long-horizon agents, designing infrastructure to support evaluation, learning from failures, and hardening backend systems at scale.

You will mentor teammates, work on frontier AI problems, and contribute to platform-level improvements that affect every agent built on Fieldguide.

Qualifications

• Backend engineering experience.
• Strong experience with AI platforms.
• 1+ years working specifically on agents.
• Demonstrated experience building evals and performing error analysis.
• Frontend experience is a plus; distributed systems experience is valuable.

Responsibilities

• Own evals strategy and error-analysis practice to improve agent quality.
• Design and build agent knowledge and evaluation infrastructure for Fieldguide’s long-horizon agents.
• Lead error analysis on agent behavior and drive platform-level reliability improvements.
• Build and harden backend systems that support agent execution, evaluation, and monitoring at scale.
• Mentor engineers on the team and raise the bar for eval rigor.

Skills

Backend engineering

Agents

Eval & error analysis

Distributed systems

Platform engineering

Mentoring

Leadership

Job description

• 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

You think in evals and error analysis as a discipline; you dig into why an agent failed and fix the systemic causeYou’ve built AI products end-to-end, with real ownership over agent quality outcomesYou’re strong in the backend and comfortable owning platform-level systemsYou’re motivated by long-horizon agents that do real work in productionYou multiply the people around you, not just your own outputBackend engineering experienceStrong experience working on an AI platform1+ years working specifically on agentsDemonstrated experience building evals and performing error analysisFrontier problems: You’re working on open problems in agent reliability that don’t have established playbooks yetEvaluation as a craft: Evals and error analysis are core to how this team improves quality, not an afterthoughtPlatform-level impact: Your work shapes the reliability and quality of every agent built on top of itLong-horizon agents: Working on agents that do real, sustained workFrontend experienceDistributed systems experienceStrong platform engineering skills