Job Description
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 OwnBuild and Ship AI AgentsImplement 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
Skills Required
- Multiple years of experience shipping production software in complex real-world systems
- Experience with TypeScript React Python and Postgres
- Built and deployed LLM-powered features serving production traffic
- Designed retrieval pipelines and agent orchestration systems
- Implemented evaluation frameworks for model outputs and agent behaviors
- Worked with vector databases embedding models and RAG architectures
- Hands-on experience with modern LLM APIs (OpenAI Gemini Anthropic etc.) and agent frameworks
- Comfort operating in ambiguity and taking responsibility for outcomes
Fieldguide Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fieldguide and has not been reviewed or approved by Fieldguide.
- Fair & Transparent Compensation—Pay is considered competitive for a venture-backed startup with public postings including explicit ranges that clarify expectations. Self-reported compensation bands across multiple roles align with a generally strong total compensation mix.
- Healthcare Strength—Health dental vision mental health support and related protections are offered indicating broad baseline coverage. Employer-verified listings include HSA/FSA options disability and life insurance.
- Leave & Time Off Breadth—Flexible or unlimited PTO is advertised with additional paid time categories noted on public benefits grids. Flexible schedules and a distributed setup can facilitate taking time off.
Fieldguide Insights
What We Do
Fieldguide offers market-leading Artificial Intelligence and Cloud for Advisory and Audit firms. Built by former Big Four practitioners and veteran technology leaders our platform digitizes the end-to-end engagement workflow on a single cloud-native platform. Fieldguide's AI Advisory & Audit Cloud is trusted by top CPA firms to unlock growth increase margins and delight clients. Fieldguide AI is award winning being recognized by CPA Practice Advisor (3x Technology Innovation Award) and Accounting Today (2x Top New Product). Fieldguide is based in San Francisco and backed by top investors like 8VC Floodgate Y Combinator Fourth Realm Justin Kan Eric Ries and many more
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Date Posted
05/14/2026
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