Library/ai-engineering-field-guide
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alexeygrigorev/ai-engineering-field-guide

ai-engineering-field-guide

Research into AI engineering interview assignments, take-home challenges, and hiring practices from Q4 2025 / Q1 2026

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alexeygrigorev

alexeygrigorev

alexeygrigorev • individual

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Feb 4, 2026

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README Summary

This repository compiles research and analysis of AI engineering interview practices, including take-home coding challenges, technical assessments, and hiring methodologies used by companies in late 2025 and early 2026. It serves as a resource for both job seekers preparing for AI engineering roles and companies designing effective technical interviews.

AI Dev Skills

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AI Engineering Interview PreparationTechnical Assessment DesignMachine Learning System DesignAI Hiring Process OptimizationTechnical Recruiting Strategy

Tags

AI Engineering Interview PreparationTechnical Assessment DesignMachine Learning System DesignAI Hiring Process OptimizationTechnical Recruiting StrategyHuman ResourcesTechnical Talent AssessmentHiring Process BenchmarkingInterview PreparationCareer Guidance for AI EngineersAI Engineering Workforce DevelopmentAI/ML Career DevelopmentTextTechnology ConsultingRecruitmentHiring Process AnalysisStatic WebsiteHTML

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Updated 27 days ago

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research
Quality
medium
Maturity
research

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Learning ResourcesPrimaryEvals & BenchmarkingOther AI / ML

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Product Discovery

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HTML100.0%

Timeline

Project created
Feb 4, 2026
Forked
Mar 12, 2026
Your last push
27 days ago
Upstream last push
17 days ago
Tracked since
Mar 17, 2026

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