Role overview

Senior AI Quality Engineer (LLM Evaluation & Automation) 1754

Requirements and responsibilities

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Details

  • Build and maintain the MVP eval harness: golden tasks, exception tasks, scorecard metrics, and regression packs.
  • Wire evals into CI so quality regressions fail builds and releases.
  • Define and maintain release-gate thresholds with Product and the Tech Lead.
  • Lay the path for later adversarial and drift-testing expansion without overbuilding MVP scope.
  • Experience evaluating ML, LLM, or non-deterministic systems.
  • Strong test and benchmark design capability.
  • Comfort working with noisy metrics, thresholds, and probabilistic behavior.
  • Good scripting and automation skills.
  • Uses AI to generate candidate eval cases and failure hypotheses, but never confuses generated tests with validated quality.
  • Approaches AI quality as an operating system, not a QA afterthought.
  • The first reference agent has a published scorecard and gated eval path. • Golden and exception tests run automatically. • The team can explain what “good enough to ship” means in measurable terms.
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Browse stack
FocusAI Quality EngineeringRole area
Seniority signalSeniorCandidate level
StackLLMPrimary skills
Location1 accepted countryEligibility

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