A high-performance, AI-powered job recommendation system built with FastAPI, PostgreSQL, and pgvector. The system uses multilingual sentence transformers to generate semantic embeddings and provides intelligent job matching based on skills, experience, and domain expertise.
A semantic applicant–job matching microservice built on gRPC. Send complete Job and Applicant messages defined in matcher.proto — no raw JSON parsing in clients. The server uses a hybrid semantic + heuristic scorer with explainable factor breakdowns (skills, experience, education, etc.).
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