Senior AI Engineer, Quality
AI summary of the role
Fieldguide is hiring a Senior AI Engineer, Quality to own the evaluation infrastructure that ensures AI agents perform reliably at enterprise scale.
What you’ll do
- Design and build a unified evaluation platform as the single source of truth for all agentic systems and audit workflows
- Build observability systems that surface agent behavior, trace execution, and failure modes in production
- Build automated pipelines that evaluate new models against all critical workflows within hours of release
- Design guardrails and monitoring systems that catch quality regressions before they reach customers
What you’ll bring
- 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
- Implemented evaluation frameworks for model outputs and agent behaviors
Technologies
LangSmith · LangGraph · Langfuse · TypeScript · React · Python · Postgres · vector databases · embedding models · RAG
About Fieldguide
AI-native engagement platform for audit and advisory firms that combines practitioner workflows, client collaboration, and domain-specific agents across regulated assurance work.
Series C · 100–200 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, Elad Gil, and other top-tier investors. As a Senior AI Engineer, Quality, you will own the evaluation infrastructure that ensures our AI agents perform reliably at enterprise scale. This role is 100% focused on making evaluations a first-class engineering capability: building the unified platform, automated pipelines, and production feedback loops that let us evaluate any new model against all critical workflows within hours. You'll work at the intersection of ML engineering, observability, and quality assurance to ensure our agents meet the rigorous standards our customers demand. We're hiring across all levels. We'll calibrate seniority during interviews based on your background and what you're looking to own. This role is for engineers who value in-person collaboration at our San Francisco, CA office. What You'll Own
More from the job description
About Us Fieldguide is establishing a new state of trust for global commerce and capital markets through automating and streamlining the work of assurance and audit practitioners specifically within cybersecurity, privacy, and financial audit. Put simply, we build software for the people who enable trust between businesses. We’re based in San Francisco, CA, but built as a remote-first company that enables you to do your best work from anywhere. We're backed by top investors including Growth Equity at Goldman Sachs Alternatives, Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, DNX Ventures, Global Founders Capital, Justin Kan, Elad Gil, and more. We value diversity — in backgrounds and in experiences. We need people from all backgrounds and walks of life to help build the future of audit and advisory. Fieldguide’s team is inclusive, driven, humble and supportive. We are deliberate and self-reflective about the kind of team and culture that we are building, seeking teammates that are not only strong in their own aptitudes but care deeply about supporting each other's growth. As an early stage start-up employee, you’ll have the opportunity to build out the future of business trust. We make audit practitioners’ lives easier by bringing together up to 50% of their work and giving them better work-life balance. If you share our values and enthusiasm for building a great c [... source excerpt omitted ...] eir most mission-critical work. We're backed by Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, Elad Gil, and other top-tier investors. As a Senior AI Engineer, Quality, you will own the evaluation infrastructure that ensures our AI agents perform reliably at enterprise scale. This role is 100% focused on making evaluations a first-class engineering capability: building the unified platform, automated pipelines, and production feedback loops that let us evaluate any new model against all critical workflows within hours. You'll work at the intersection of ML engineering, observability, and quality assurance to ensure our agents meet the rigorous standards our customers d [... source excerpt omitted ...] rity during interviews based on your background and what you're looking to own. This role is for engineers who value in-person collaboration at our San Francisco, CA office. What You'll Own Measurable AI Agents Design and build a unified evaluation platform that serves as the single source of truth for all of our agentic systems and audit workflows Build observability systems that surface agent behavior, trace execution, and failure modes in production, and feedback loops that turn production failures into first-class evaluation cases Own the evaluation infrastructure stack including integration with LangSmith and LangGraph. Translate customer problems into concrete agent
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