AI Engineer

About Fieldguide

Vertical AI for Audit & Advisory Firms

Tech

We're looking for early-stage engineers with experience in the following: * Complex web tech stacks consisting of several of the following: JavaScript/TypeScript, React, GraphQL, NodeJS, Hasura, Postgres, and/or AWS * Architecting large features and determining the best technologies for the job * Test and automation tools like Jest and Cypress * DevOps and continuous integration/delivery best practices * Information security best practices * Collaborating on all aspects of product strategy and UX * Working directly with customers and fixing bugs * Shaping a young tech stack, product, and engineering processes We’re based in San Francisco, CA, but built as a remote-first company that enables you to do your best work from anywhere. This is an opportunity to be an early engineer at a young, fast growing startup, working directly with the company’s co-founders and early employees. We offer competitive compensation and perks. We greatly value learning and invest in our team members. As we build the company together, we’ll map your professional interests and goals to ensure you’re learning not only how to be a better engineer, but also growing towards your ideal role in the future. Fieldguide is committed to building a diverse and inclusive company that celebrates individuals of all backgrounds. We’re an equal opportunity employer and encourage all applicants.

The role

# **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 RoleFieldguide 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## **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# Who You AreYou’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# ExperienceWe 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.# 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