Description
We're looking for an experienced AI and full stack developer to build a multi tenant AI customer support platform. This is not a project to build a separate chatbot for each client. We're building a single scalable platform where one AI agent architecture serves multiple businesses while keeping each client's data and conversations securely isolated. The platform should: * Support customer conversations across WhatsApp, Instagram, and website live chat through one unified AI agent. * Use RAG (retrieval augmented generation) to access live product catalogues from WooCommerce and custom ecommerce stores, ensuring responses always reflect current inventory, pricing, and product information. * Perform real business actions using tool calling or function calling, such as checking product availability, creating orders or leads, and interacting with business systems, not just answering FAQs. * Be designed for secure multi tenant architecture, scalability, and reliable data isolation. Please briefly answer the following in your proposal: 1. How would you design multi tenant data isolation? Would you use a shared database with tenant IDs or separate schemas, and why? 2. How would you implement RAG with live product catalogues? 3. How would you enable the AI to perform real actions using tool calling or function calling? 4. What experience do you have with the WhatsApp Business API and the Meta Graph API? Required experience: * AI agents and LLM integrations * Tool calling or function