> Markdown version of [/jobs/ext/4616687-software-engineer-agents-foundation-agents](https://www.wearedevelopers.com/jobs/ext/4616687-software-engineer-agents-foundation-agents). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Software Engineer, Agents (Foundation Agents)

- **Company:** Fieldguide Inc.
- **Location:** San Francisco, CA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Distributed Systems, Software Product Management, Backend, AI Platforms, Front End Software Development
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_ca7771b84a668cda7b67ee7d4e05bfdb

## About the Role

* 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, * Hands-on experience building AI products
 * Working knowledge of evals and error analysis
 * Backend engineering experience, * Platform engineering skills
 * Frontend experience
 * Distributed systems experience

## 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. If you're excited by long-horizon agents that do real-world work, this is the team for you., * 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, * 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