AI Engineer
- San Francisco, United States
نُشرت أول أمس
عن الوظيفة
About Us
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.
About The Role
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.
What You’ll Own
Build and Ship AI Agents
- 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.
- Wellness benefits starting on your first day
- 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