How to Actually Evaluate an AI Engineer in 2026 (7-Point Framework)

Short summary

A 7-point framework for evaluating AI engineers in 2026, distinguishing three sub-roles: ML/research, AI application, and AI-first product engineers. Key signals include production deployment history, cost awareness, evaluation framework design, architecture decisions, agent system experience, security awareness, and AI-first methodology. The author recommends scoped real-world problems over LeetCode and notes a self-promotional link to their consultancy.

• •Three AI engineer sub-roles: ML/research, AI application, AI-first product — hire for the right tier
• •7 evaluation points: production history, cost awareness, eval design, architecture, agent experience, security, AI-first workflow
• •Skip LeetCode; use scoped real-world problems to observe reasoning about evals, cost, and failure modes

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