Evaluation Engineering

In recruiter context

Evaluation engineering is the most-underrated AI engineering skill in 2026 and the strongest single hiring filter at AI-native companies. Production AI evaluation runs three layers: offline eval (a curated set of representative inputs scored against rubrics), online eval (instrumentation on production traffic tracking task-completion rates and user-flagged issues), and continuous eval (the offline set re-runs on every model swap or prompt change to catch regressions). Specific failure modes: eval-set staleness, judge-model contamination, Goodhart's law on optimised metrics. Strong AI Engineers and ML Engineers treat eval as something they ship, version and maintain — not as a one-time benchmark.