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.

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

Execute with AI-Native Leverage

• 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

Contribute to Product Impact

• 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

What should excite you:

• 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

Benefits:

• 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

Our values:

• 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