AI Solution Architect Needed: Multi-Agent Customer Support & Lead Routing Engine

Job Description: We are an enterprise SaaS provider looking for a Senior AI Engineer to design and implement a production-grade, autonomous customer operations agent network. This is not a basic ChatGPT wrapper project, we need an engineer who understands deterministic routing and multi-source data grounding. The agent needs to: 1. Ingest incoming client emails, support tickets, and live chats. 2. Run strict intent classification to separate technical support from high-intent sales queries. 3. Utilize tool-calling / Model Context Protocol (MCP) to check customer tier data inside our PostgreSQL/Supabase database. 4. Route qualified leads directly into our CRM (HubSpot) and trigger an automated response. 5. Deflect technical support by running a semantic RAG search across our internal documentation vector base, ensuring 100% grounded answers without hallucinations. Tech Stack Requirements: - Deep experience with LangGraph, CrewAI, or LangChain - Production experience with OpenAI API or Claude API (specifically Function Calling / Structured Outputs) - Database proficiency with Supabase/PostgreSQL and Vector Databases (Pinecone/Chroma) - Ability to build reliable evaluation layers (LangSmith/Braintrust) to monitor token costs and latency. We have our internal frontend team handling the UI. You will be acting as the Lead AI Backend Architect. A signed NDA is required before accessing our test sandboxes. To apply, please share a brief description of a similar production-grade multi-agent system you have deployed and your high-level architectural approach.