AI Business Assistant

I'm looking for a senior AI engineer to build an MVP of an AI-powered Business Knowledge Assistant. This is NOT a PDF chatbot. The goal is to create a system that can answer business questions by retrieving and combining information from multiple sources, while maintaining traceability and source attribution. For the MVP, the data sources will be: * PDF documents * Structured SQLite data The system should be able to: * Accept free-form natural language questions * Decide which source(s) are relevant * Retrieve information from documents, databases, or both * Combine information into a grounded answer * Provide citations and traceability * Support English and Hebrew Examples: "What contracts expire in the next 90 days and what penalties are defined in those contracts?" "Which customers have overdue payments and what does the agreement say about service suspension?" "Show all active projects and summarize the risks mentioned in their documentation." Future integrations (not part of MVP but must be considered in architecture): * CRM systems * Email systems * Cloud storage * Case management systems * Hybrid local/cloud environments I am NOT looking for someone who simply uploads PDFs into a vector database and performs semantic search. I am specifically looking for experience with: * Query routing * Hybrid retrieval * RAG + SQL systems * Grounded generation * Source attribution * Extensible architecture MUST include a GitHub repository, architecture diagram, Loom video, live demo, or product that demonstrates work similar to what is described above.