My long-term goal is to roll out a fully fledged recruitment SaaS, but the cornerstone is an AI Talent Matching System. I need a developer who can stay dedicated to the project without strict timing pressure and gradually layer on the additional modules I have mapped out. Phase 1 – AI Talent Matching System The matching engine must handle three core functions: • Match candidates to open roles • Suggest relevant jobs to each candidate • Rate the overall candidate-job fit It will work primarily with résumé data and the candidate profiles we store internally. I expect a robust ML/NLP pipeline that can evolve as we ingest more data, so experience with transformers, embeddings, vector databases, and model fine-tuning will be valuable. Accuracy, explainability of the scores, and an API that other parts of the platform can call are essential acceptance criteria. Phase 2 and beyond Once the core matcher is solid, we will plug in: a résumé parsing engine, a job-description analyzer, an AI recruiter chatbot for screening and scheduling, integrations with common ATS platforms, and separate dashboards for admins, recruiters, and candidates. An analytics layer will eventually surface bias metrics, hire velocity, and other insights. I will guide the product roadmap and provide sample data; your responsibility is the architecture, coding, and iterative delivery of tested modules. Let me know which frameworks or cloud stack you prefer so we can plan the build environment before sprint 1 kicks off.