AI Engineer, Quality – Evals

Job not on LinkedIn

🕒 April 21

🏄 California – Remote

🏄 California – Remote

💵 $170k - $220k / year

⏰ Full Time

🟢 Junior

🔧 QA Engineer (Quality Assurance)

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Fieldguide

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

🏥 Healthcare

🤖 Artificial Intelligence

Consulting • Healthcare • Artificial Intelligence

Fieldguide is a modern, award-winning AI platform designed for advisory and audit firms. It helps streamline engagements, increase efficiency, and improve client satisfaction through its end-to-end engagement analytics. The platform supports various services, including risk advisory, cybersecurity and privacy, regulatory compliance, SOC readiness and audits, IT audits, and financial audits. Fieldguide integrates with popular productivity and IT tools to provide a seamless user experience, allowing for automated management of requests, documents, and reports. Trusted by top industry firms, Fieldguide enhances the practice of audit and advisory services with AI-driven innovations that save time and improve margins.

📋 Description

• 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

🎯 Requirements

• 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)

🏖️ 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