Fieldguide is establishing a new state of trust for global commerce and capital markets by automating and streamlining the work of assurance and audit practitioners—specifically in cybersecurity, privacy, and financial audits. We build software for the people who enable trust between businesses.
We're based in San Francisco, CA, and built remote-first. We're backed by Goldman Sachs Alternatives, Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, and more. Over 50 of the top 100 accounting and consulting firms trust Fieldguide to power mission-critical work.
Fieldguide is building AI agents for the most complex audit and advisory workflows. We’re a San Francisco-based vertical AI company operating in a $100B+ market undergoing rapid transformation. Over 50 of the top 100 accounting and consulting firms trust Fieldguide to power mission-critical work.
As an AI Engineer, you’ll build Fieldguide’s intelligence layer—agentic workflows, architectures, and evaluation systems that power enterprise-grade agents. You’ll operate at the intersection of product engineering, applied AI, and production systems.
Implement agentic workflows that automate complex audit tasks
Turn customer problems into discrete, testable agent behaviors
Integrate LLMs, tools, and retrieval logic into reliable agent experiences
Monitor and maintain agents in production with a focus on reliability and performance
Use AI tooling to accelerate how you design, build, and test features
Prototype quickly and harden systems for enterprise reliability
Build evaluations and feedback loops to improve agent outputs
Write prompts and retrieval pipelines that perform at scale
Work closely with senior engineers and product to scope and deliver features
Translate customer workflows into clear engineering requirements
Identify and surface capability gaps to improve team velocity
You’re a strong software engineer who’s built your skills for an AI-native world. These principles resonate with you:
Bias to building: You move fast and resolve uncertainty by shipping
AI-native instincts: You're excited to use LLMs, agents, and automation as core tools
Curiosity and learning velocity: You ramp quickly on new problems and technology
Collaborative: You communicate proactively and seek feedback often
Attention to detail: You care about quality in code and customer-facing outputs
We care more about capability and trajectory than years on a resume, but most strong candidates have:
1–3 years shipping production software in real-world systems
Proficiency in TypeScript and/or Python
Some exposure to LLM APIs (OpenAI, Anthropic, Gemini) or AI tooling
Familiarity with retrieval pipelines, RAG concepts, or vector databases is a plus
Experience with React and Postgres is helpful but not required
Comfortable working in ambiguity with direction from senior engineers
Enterprise-grade reliability: Building systems professionals depend on
Human-in-the-loop design: Knowing when to automate vs. when to surface decisions
Nuanced evaluation: Audits require judgment, so feedback structures matter
Explainability: Making AI outputs and reasoning transparent and trustworthy
Complex domains: Navigating compliance and enterprise rigor while moving fast
Shipping daily value: Delivering agent experiences customers use every day
Competitive compensation with equity
Comprehensive health and wellness benefits
Flexible time off and work schedules
Technology reimbursements
401(k) plan
Twice-yearly in-person offsites across the U.S.
Fearless — Inspire and break down seemingly impossible walls
Fast — Launch fast with excellence; iterate to perfection
Lovable — Deliver happiness and 11-star experiences
Owners — Execute and run the business with ownership
Win-win — Create mutual value and earn trust for life
Inclusive — Scale the best ideas with inclusive teams
Fieldguide