Printable hiring resource
AI Hiring Scorecard & Interview Kit
A printable rubric, interview plan, agentic coding exercise, and decision worksheet for evaluating AI-native software engineers.
Why it exists
AI engineering interviews need a different bar.
Prompt fluency is not enough. The scorecard focuses the interview on systems judgment, verification habits, production boundaries, and the ability to supervise AI coding agents.
Role-fit intake sheet
AI-native engineering scorecard
Agentic coding interview plan
Human-verification checklist
Reference-call prompts
Hiring decision worksheet
Worksheet preview
Six pages built for a real interview loop.
Role-Fit Intake
Clarify the outcome, stack, constraints, and seniority bar before interviewing.
AI-Native Engineering Scorecard
Score candidates consistently across engineering judgment and agentic AI practice.
Agentic Coding Interview Plan
Run a structured 45-minute practical interview without turning it into trivia.
Human-Verification Checklist
Separate real production judgment from prompt-only fluency.
Reference Call Prompts
Ask references about the behaviors that matter for AI-native delivery.
Hiring Decision Worksheet
Turn interview notes into a clear hire, hold, or pass decision.
Download the kit after checkout.
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