About Judi Health Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: Judi Rx , a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers, Judi Health™ , which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Judi® , the industry’s leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform. S. and deploying the infrastructure we need for the care we deserve.

health . Position Summary As an AI Evaluation Engineer at Judi Health, you will build the testing frameworks, metrics, and tooling used to assess the safety, reliability, and accuracy of AI models and autonomous agents in production. This role bridges the gap between model development and real‑world usage by translating ambiguous product goals into measurable quality targets.

We’re looking for someone to lead evaluation end-to-end — from unit and integration testing to offline, online, and statistical evaluations of probabilistic systems.

Responsibilities

: Data Engineering Build and maintain ETL pipelines for heterogeneous data sources (traces, logs, transcripts, user feedback) Implement complex data stitching and session reconstruction logic Manage dataset versioning, provenance, and lifecycle Platform Observability Develop dashboards and monitoring tools for AI quality metrics Integrate evaluations into CI/CD pipelines for scheduled and gated runs Implement alerting on quality and safety signals, not just infrastructure health AI / ML Evaluation Tooling Apply and extend LLM‑as‑judge evaluation patterns Design metrics and scoring approaches suitable for stochastic, non‑deterministic systems Use tools like LangSmith to track runs, traces, experiments, and evaluation results Collaboration Partner closely with data science, engineering, and product teams Translate between research goals, product intent, and engineering constraints Help define what “good” looks like for AI behavior in production Advocate for strong developer experience an