Staff AI Engineer
Fieldguide — Vertical AI for Audit & Advisory Firms
About 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 ROLE
Fieldguide is building AI agents for the most complex audit and advisory workflows. As a Staff AI Engineer, you'll shape the technical direction of our intelligence layer—defining the architecture, standards, and roadmap that enable Fieldguide to build the most reliable AI agents in the enterprise.
This role is for experienced engineers who combine deep technical judgment with strong product instincts and organizational influence. You'll operate across the engineering organization to drive impact that compounds over time.
WHAT YOU’LL OWN
DEFINE AND DRIVE TECHNICAL DIRECTION
- Set the architectural direction for Fieldguide's agentic systems and intelligence layer
- Identify and resolve systemic gaps that limit reliability, scalability, or product velocity
- Make high-leverage technical bets and drive them to completion across the organization
- Establish evaluation standards, observability infrastructure, and reliability frameworks at scale
BUILD AND SHIP HIGH-IMPACT SYSTEMS
- Own the most complex, cross-cutting product areas end-to-end
- Design agent orchestration and retrieval systems that handle enterprise-grade complexity
- Lead the evolution of Fieldguide's LLM infrastructure: models, prompts, guardrails, and feedback loops
- Prototype, validate, and harden novel approaches before sharing with the broader team
DRIVE ORGANIZATIONAL LEVERAGE
- Partner with Engineering leadership, Product, and Design to shape the AI roadmap
- Create reusable platforms, patterns, and tooling that multiply team velocity across the org
- Identify and develop the next generation of senior engineers
- Translate long-term product vision into concrete technical strategies
REPRESENT AND ADVANCE THE FIELD
- Stay at the frontier of LLM and agent research; rapidly evaluate and adopt what matters
- Build internal knowledge and shared understanding of AI system design
- Contribute to Fieldguide's reputation as a technical leader in vertical AI
WHO YOU ARE
You’re a strong software engineer who’s built your skills for an AI-native world. These principles resonate with you:
- Technical depth with organizational influence: You lead through expertise, not authority
- Systems thinker: You see second-order effects and design for them
- Strong product judgment: You prioritize ruthlessly and keep customer outcomes in focus
- Multiplier: You make everyone around you more effective—you don't just ship solo
- Principled pragmatism: You know when to push boundaries and when to ship what works
- End-to-end ownership: You own outcomes, not just deliverables
EXPERIENCE
We care more about capability and trajectory than years on a resume, but most strong candidates have:
- 8+ years shipping production software, with 3+ years leading complex AI/ML systems
- Deep expertise in TypeScript, Python, and distributed system design
- Proven track record shipping LLM-powered products at enterprise scale
- Experience defining evaluation infrastructure and reliability standards for AI systems
- Mastery of retrieval architectures, RAG, vector databases, and embedding pipelines
- Hands-on with cutting-edge LLM APIs and agent frameworks (OpenAI, Anthropic, Gemini, LangGraph, etc.)
- Experience influencing technical direction across multiple teams or product areas
- Track record mentoring senior engineers and growing engineering culture
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
What the index says about this role
- First seen by JobLarper — Aug 2, 2026, 6 days ago. Older postings collect hundreds of applicants — a tailored résumé matters more the longer a role has been live.
- What Machine Learning Engineer roles ask for — across 1,108 indexed openings: ML (78%), AI/LLM (55%), Python (53%), REST/APIs (38%), Cloud (25%). This posting names ML, AI/LLM, Python, Backend.
- Fieldguide is hiring actively — 21 open roles indexed.
Derived from the 27,000 roles JobLarper indexes daily from official company boards — not from the job description above.
More open roles at Fieldguide
- SOX AI Specialist (Contractor)Remote (USA) · Mid · $60 – $80 per hour
- Solutions Engineer, AdvisorySan Francisco, CA or Remote (USA) · Mid · $120K – $235K
- Staff Product DesignerRemote (USA) · Senior+ · $180K – $210K • Offers Equity
- Solutions Engineer, Financial AuditSan Francisco, CA or Remote (USA) · Mid · $120K – $235K • Offers Equity
- Senior Analytics EngineerSan Francisco, CA · Senior+ · $175K – $200K • Offers Equity
- Lead/Principal Product Manager, Audit AgentsSan Francisco, CA · Manager · $200K – $275K • Offers Equity • Offers Bonus
- Staff Software Engineer, Audit (Full Stack)San Francisco, CA or Remote (USA) · Senior+ · $210K – $250K • Offers Equity
- Senior Software Engineer, Audit (Full Stack)San Francisco, CA or Remote (USA) · Senior+ · $190K – $215K • Offers Equity
All 21 open roles at Fieldguide →
Similar Machine Learning Engineer roles at other companies
- Staff Machine Learning Engineer, Tools and Framework AIApple · Cupertino, United States
- Staff Machine Learning Engineer, Agentic Systems - MoveworksElement AI · Mountain View, CALIFORNIA, US
- Staff Machine Learning Engineer, Agentic App PlatformElement AI · Mountain View, CALIFORNIA, US
- Display Algorithm Engineer / Machine Learning EngineerApple · San Francisco Bay Area, United States
- Senior Clinical Research ScientistOmada Health · Remote, USA · Remote
- ML Software Research EngineerApple · Pittsburgh, United States
- AI EngineerForward Networks · Santa Clara
- Applied AI EngineerPareto.AI · US Remote · Remote
Browse all machine learning engineer jobs in united states — 658 open roles across 272 companies.