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Seeking Python Expert to Build AI-Powered Procurement Engine
We're developing a focused, AI-driven procurement tool designed specifically for the construction industry. This first phase is about building a clean, functional prototype within the next few weeks - one that demonstrates intelligent quote evaluation and vendor selection in a simple, effective way. The backend will be built in Python, using FastAPI or Flask. Core features include ingesting and storing quote data, applying basic AI or rule-based logic to score and compare vendor quotes, and exposing APIs for eventual frontend integration. We're drawing inspiration from platforms like LevaData, JAGGAER, and GEP SMART, but this is not enterprise-scale. It's a lean, purpose-built solution aimed at solving real challenges for smaller construction teams. I'm looking for a developer who is comfortable working independently, communicates clearly, and knows how to apply AI in practical, real-world contexts. Familiarity with procurement workflows or construction tech is a plus, but not a requirement. If the prototype goes well, there's strong potential for continued development in the next phase. If you're excited about applying AI to make traditional industries smarter and more efficient, I'd love to connect.