Natural language search lets you describe the person you're looking for the way you'd explain it to a colleague. HyreTech understands meaning — not just keywords — and ranks your whole candidate pool by how well they actually fit.
Keyword filters miss anyone who phrased their experience differently. Semantic search doesn't.
Type a plain-English query like “senior React engineer who has led a team” — no special syntax required.
Your query is embedded and compared against the semantic profile of every candidate in your pool.
A relevance-ranked list comes back in seconds, with the best fits first — ready to review and shortlist.
Natural language candidate search lets you find candidates by describing who you need in a plain sentence. HyreTech converts both your query and every candidate into semantic embeddings and ranks people by how closely they match — not by keyword overlap.
Keyword search only finds candidates who used the exact terms you typed. Semantic search understands meaning, so a search for 'backend engineer with payments experience' also surfaces someone who built billing systems without using those words.
No. You type a normal sentence — no boolean operators, tags, or filter trees — and HyreTech returns a relevance-ranked shortlist.
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