AI-Powered Semantic Job Matching System Using FastAPI, Vector Databases, and Dual Encoders

Most job platforms still rely heavily on keyword matching. That means a candidate searching for “backend engineer” might never match with a company looking for a “server-side developer” — even though they’re essentially the same role. I wanted to solve that problem. So I built an AI-powered recruitment infrastructure called JobSync : a semantic matching system that understands meaning instead of just keywords. What I Built The platform uses a dual-encoder semantic retrieval architecture powered