AI/RAG Developer for Real Estate CRM SaaS Integration

We are looking for an experienced AI developer to build and integrate a focused Retrieval-Augmented Generation (RAG) feature into our existing real estate CRM SaaS platform. The AI assistant should allow CRM users to ask questions about leads, clients, properties, notes, activities, and uploaded documents using natural language. Project Scope The developer will build a working MVP that can: Connect to our existing real estate CRM Retrieve information from CRM records Process selected PDF or text documents Answer user questions using CRM and document data Summarize leads, clients, properties, and activities Generate basic follow-up emails or messages Display the source used to generate each answer Prevent users from accessing data outside their organization Integrate the AI assistant into the existing CRM interface Example questions: What was the last conversation with this lead? Summarize this buyer’s requirements. Which properties match this client’s budget? What follow-up action should the agent take? Summarize this uploaded property document. Preferred Skills OpenAI, Claude, Gemini, or similar LLM APIs LangChain, LlamaIndex, or custom RAG development pgvector, Pinecone, Qdrant, Supabase, or similar tools Python, FastAPI, Node.js, React, or Next.js REST APIs and database integrations Multi-tenant SaaS security Document processing and semantic search Deliverables Working RAG MVP integrated into the CRM Connection to selected CRM data Basic document ingestion workflow Vector database or semantic retrieval setup AI chat interface Source citations in responses Basic organization-level data isolation Error handling and testing Source code Setup documentation Minor bug fixes after delivery Budget Fixed project budget: $180 USD This budget is for a focused MVP using selected CRM data and limited document sources. Advanced features, large-scale indexing, complex permissions, and production-level monitoring may be handled through future milestones. When Applying Please include: Examples of similar AI or RAG projects Your recommended technology stack What you can deliver within the $180 budget Estimated delivery timeline How you will prevent data leakage between CRM users Your availability for future development Please apply only if you have practical experience with RAG systems, AI integrations, APIs, and SaaS applications.