Fieldguide is looking to solve the problem of modernizing cybersecurity, privacy, and financial audits by building software that empowers practitioners to enable trust between businesses, automating and streamlining their work to deliver faster, higher-quality results.
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
- Experience or familiarity with audit, assurance, or risk management domains
- Building production AI agents or LLM-powered applications
Responsibilities
- 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
- 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
- Continuously improve our tech stack, developer workflows, and reliability practices
- Contribute to a supportive, growth-oriented engineering culture based on trust, learning, and excellence
- Lead complex agent projects or systems, setting technical direction and ensuring long-term health
Other
- Ability to scope, prioritize, and deliver work that moves business outcomes
- Clear and proactive communication around progress, risks, and decisions
- Ownership mindset - following work through from ideation to production and iteration
- Empathy for teammates and customers; contributes positively to team culture
- Embodies Fieldguide's values: Fearless, Fast, Lovable, Owners, Win-win, Inclusive
