Across 4,894 AI engineering job posts, evals is the #1 skill — a full agent eval framework
Al_Grigor · x · 2026-08-24
Alexey Grigorev analyzed 4,894 AI engineering job descriptions and found evaluation is consistently the number one skill — it shows up in interviews, and skipping evals in a home assignment is a red flag.
He lays out a tool-agnostic six-step framework for evaluating AI agents:
- Start with vibe-checking and logging
- Build a judge that aligns with your judgment
- Break the agent like a QA engineer
- Generate synthetic data
- Test on real users
- Monitor with online evaluation
His core point: building an agent is easy now, but agents break in countless ways — hallucinations, loops, context exhaustion, invalid tool calls. Without evals you're blind and can't change anything safely. Includes a full eval checklist and production examples.
Related event: Analysis of 4,894 AI Job Descriptions Puts Evals on Top(2 posts)→
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