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How We Engineered Linkedins Hiring Assistant
- Source
- linkedin.com
- Author
- LinkedIn Engineering
- Date
Context
LinkedIn's Hiring Assistant separates planning a recruiting task from carrying out its steps. A supervisor interprets the recruiter's requirements and directs specialized tools for sourcing and . Those tools can perform background work while the recruiter reviews results and refines qualifications. The evaluation component surfaces evidence from candidate information, with recruiters deciding whether candidates advance. This product runs on LinkedIn's message-based agent platform, which supports workflows that continue beyond a single conversation.
Terms in this piece · Glossary
- eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
- AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
- tool use — A model's ability to call external functions — run code, search the web, edit files — instead of only generating text.
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