n8n Developer for AI Agent & RAG Pipeline Built on n8n

We are looking for an advanced n8n developer to build a custom n8n AI agent for our customer success team. We want to bypass rigid, off-the-shelf chatbot builders and keep all of our orchestration securely inside n8n. The goal is to connect our internal documentation to an LLM, utilizing an n8n RAG agent (Retrieval-Augmented Generation) setup to accurately answer complex client support tickets. Architect a complete n8n automation sequence that triggers on incoming customer emails/tickets. Set up vector database retrieval (e.g., Pinecone or Supabase) seamlessly using n8n workflows. Deploy the final n8n AI chatbot logic to format responses and draft them directly into our helpdesk. Configure the n8n integration to handle LLM context windows and memory smoothly. Must have hands-on experience building an n8n AI agent or n8n RAG pipeline. Strong understanding of prompt engineering and LangChain concepts deployed within n8n. Ability to build a system that doesn't hallucinate and fails gracefully.