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Judi Health

AI Evaluation Engineer

Judi Health
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4 days ago
Charlotte, NC, USA +2 moreMid Level

Base Salary

$135k - $200k/yr

Responsibilities

  • Build data evaluation pipelines for production conversations and agent interactions, including session reconstruction from traces, logs, recordings, and transcripts.
  • Apply human-feedback signals and automated evaluators such as LLM-as-judge systems to label and score evaluations.
  • Own recurring automated evaluation runs against staging and production and define benchmarks for accuracy, reliability, and safety.
  • Design and extend a unified evaluation framework for multiple agent types and workflows.
  • Translate product expectations into measurable success criteria and metrics.
  • Build APIs and internal tools for scenario curation, dataset management, and evaluation execution.
  • Manage dataset versioning, provenance, and lifecycle.
  • Develop dashboards, monitoring, and alerting for AI quality and safety signals.
  • Integrate evaluations into CI/CD pipelines for scheduled and gated runs.
  • Provide experiment tracking, reproducibility, and comparison across prompt, model, and agent experiments.
  • Partner with data science, engineering, and product teams to define and improve AI behavior in production.

Requirements

  • At least 4 years of experience in data engineering, ML engineering, or software engineering.
  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • Strong proficiency in Python and SQL.
  • Experience building and maintaining production data pipelines.
  • Experience with at least one cloud platform, with AWS preferred.
  • Prior work on LLM or agent evaluation infrastructure is a plus.
  • Familiarity with metrics for safety, reliability, or quality in AI systems is a plus.
  • Experience with voice or call-center data, including audio, transcripts, or sentiment, is a plus.
  • Experience with browser automation tools such as Playwright for end-to-end evaluations is a plus.
  • Deep SQL expertise is a plus.

Benefits

  • Hybrid work arrangement requiring three days in the office, with offices in New York City, Denver, and the Charlotte area.

Tech Stack

Categories

AI & MLData EngineeringTesting