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Software Engineer, Agents

Fieldguide

Salary not specified
Oct 9, 2025
San Francisco, CA, US
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Fieldguide is redefining trust in global commerce by modernizing how cybersecurity, privacy, and financial audits are done. We build software that empowers the practitioners who enable trust between businesses—automating and streamlining their work to deliver faster, higher-quality results. We’re taking on legacy audit and accounting tools that are decades old, widely disliked, and ripe for disruption.

Requirements

  • Strong software engineering fundamentals and experience shipping production code
  • Familiarity with modern web technologies such as TypeScript, React, Node.js, Python, and GraphQL
  • Experience with LLM APIs, prompt engineering, and agentic patterns (tool use, chain-of-thought, etc.)
  • Writing maintainable, well-tested, and observable code
  • Sound judgment around tradeoffs, reliability, and performance in AI systems
  • Building production AI agents or LLM-powered applications
  • Designing and implementing evaluation pipelines for AI systems

Responsibilities

  • Build AI agents that augment and automate complex audit workflows, working across the full stack to design agent architectures, integrate LLMs, and create systems that learn and improve over time.
  • Design, build, and deliver high-quality features that drive customer and business impact
  • Build and iterate on AI agents that handle document analysis, workflow automation, and decision support
  • Continuously improve our tech stack, developer workflows, and reliability practices
  • Lead complex agent projects or systems, setting technical direction and ensuring long-term health
  • Drive company-level agentic AI initiatives and influence cross-team architecture
  • Set and champion engineering standards for scalability, security, and performance

Other

  • Collaborate cross-functionally with product and design to turn complex problems into elegant, user-focused solutions
  • Balance iteration speed with long-term maintainability and system health
  • Contribute to a supportive, growth-oriented engineering culture based on trust, learning, and excellence
  • Ability to scope, prioritize, and deliver work that moves business outcomes
  • Clear and proactive communication around progress, risks, and decisions