AI Engineer, Quality
About the role
Fieldguide is a vertical AI platform for audit and advisory firms. The AI Engineer, Quality will own the evaluation infrastructure to ensure AI agents perform reliably at enterprise scale, focusing on unified evaluation platform, production observability, and feedback loops for agent quality across workflows.
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
- Build automated pipelines that evaluate new models against all critical workflows within hours of release
- Design evaluation harnesses for our most complex Agentic systems and workflows
- Implement comparison frameworks that measure effectiveness, consistency, latency, and cost across model versions
- Design guardrails and monitoring systems that catch quality regressions before they reach customers
- Use AI as core leverage in how you design, build, test, and iterate
- Prototype quickly to resolve uncertainty, then harden systems for enterprise-grade reliability
- Build evaluations, feedback mechanisms, and guardrails so agents improve over time
- Work with SMEs and ML Engineers to create evaluation datasets by curating production traces.
- Design prompts, retrieval pipelines, and agent orchestration systems that perform reliably at scale
- Define and document evaluation standards, best practices, and processes for the engineering organization
- Advocate for evaluation-driven development and make it easy for the team to write and run evals
- 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
- Worked with vector databases, embedding models, and RAG architectures
- 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 (experience with audit and accounting workflows are not required)
Skills
Benefits
- Competitive compensation packages with meaningful ownership
- Flexible PTO
- 401k
- Wellness benefits, including a bundle of free therapy sessions
- Technology & Work from Home reimbursement
- Flexible work schedules
About Fieldguide
Vertical AI for Audit & Advisory Firms
Fieldguide is a vertical AI platform for modern assurance and advisory firms that digitizes the end-to-end engagement workflow on a single platform. Built by former Big Four practitioners and experienced technology leaders, Fieldguide is trusted by top CPA firms to improve margins, win new business, and build stronger client relationships. 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 Bessemer Venture Partners, 8VC, Y Combinator, Floodgate, Elad Gil, Justin Kan, Qasar Younis, Eric Ries, and more.
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