AI Engineer

AI Engineer

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 Type Script 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