HR AI

Comprehensive AI and Machine Learning knowledge for HR and recruiters — from understanding modern AI ecosystems and LLM workflows to evaluating AI candidates, interpreting portfolios, and improving technical hiring decisions.

Supported tasks

• Explaining AI and machine learning concepts for non-technical recruiters
• Understanding modern AI ecosystems and LLM workflows
• Screening AI Engineers, ML Engineers, and Applied AI candidates effectively
• Evaluating AI portfolios, demos, GitHub repositories, and research projects
• Creating AI interview questions and hiring scorecards
• Comparing AI Engineering, Machine Learning, Data Science, and LLM Engineering roles
• Understanding AI infrastructure and production AI workflows
• Identifying AI seniority levels and skill expectations
• Understanding generative AI, autonomous agents, and multimodal systems
• Writing AI-related job descriptions and hiring requirements
• Explaining AI terminology used by engineers and researchers
• Understanding collaboration between AI, data, backend, product, and infrastructure teams