Jobs · Engineering · California

Senior AI Engineer, Quality

Fieldguide · San Francisco, CA · 1 mo ago
HybridEngineering$200k–$250k/yrFull-time

About the role

Fieldguide is building AI agents for the most complex audit and advisory workflows. We're a San Francisco-based Vertical AI company building in a $100B+ market undergoing rapid transformation. Over 50 of the top 100 accounting and consulting firms trust us to power their most mission-critical work.

Responsibilities

  • 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 behaviors and workflows
  • Integrate and orchestrate LLMs, tools, retrieval systems, and logic into cohesive, reliable agent experiences
  • Rapidly build and deploy LLM-powered features serving production traffic
  • Build evaluation frameworks for model outputs and agent behaviors
  • Design guardrails and monitoring systems that catch quality regressions before they reach customers
  • Define and document evaluation standards, best practices, and processes for the engineering organization
  • Partner with product and ML engineers to integrate evaluation requirements into agent development from day one
  • Take full ownership of large product areas rather than executing on narrow tasks

Qualifications

  • 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
  • Designed observability or tracing infrastructure for AI/ML systems
  • Experience with evaluation platforms (LangSmith, Langfuse, or similar)
  • Comfort operating in ambiguity and taking responsibility for outcomes
  • Deep empathy for professional-grade, mission-critical software

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