AI-Driven Business Search and Matching

Project Title:
AI-Powered Lead Matching System (RAG + OpenAI + Fullstack)

Project Description:

I am looking for an experienced Fullstack + AI Engineer to build a production-ready AI-powered lead matching system.

Project Overview:

The system should intelligently match business leads using semantic search and LLM-based reasoning instead of traditional keyword matching.

Core Requirements:

Build a RAG (Retrieval-Augmented Generation) pipeline

Generate embeddings using OpenAI API

Store vectors using pgvector or Pinecone

Implement semantic similarity search

Develop REST APIs using FastAPI or Node.js

Create a modern frontend dashboard (React / Next.js)

Deploy on AWS (ECS, Lambda, or EC2)

Features:

Business profile ingestion

Data embedding pipeline

Vector search functionality

AI-generated lead recommendations

Admin dashboard

Scalable cloud deployment

Tech Stack Preference:

Python, FastAPI, PostgreSQL (pgvector), React/Next.js, AWS

Looking for clean architecture, scalable infrastructure, and production-quality code.