AI Engineer, Quality – Evals

Fieldguide

. Design and build a unified evaluation platform that serves as the single source of truth for all of our agentic systems and audit workflows .

Posted 4/21/2026full-timeRemote • California • 🇺🇸 United StatesJunior💰 $170,000 - $220,000 per yearWebsite

Tech Stack

Tools & technologies

PostgresPythonReactTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

TypeScriptReactPythonPostgresLLM-powered featuresevaluation frameworksobservability infrastructurevector databasesembedding modelsRAG architectures

Soft Skills

operating in ambiguityresponsibility for outcomesdeep empathy