Description
Summary We're building an AI-powered Real Estate Agent system combining a chat agent and a voice call agent, and need a freelancer experienced in AI automation and agent orchestration to help implement it. The system needs to: Handle inbound leads via WhatsApp and route/qualify them automatically Trigger AI-driven conversations using n8n workflows connected to an LLM (OpenAI/Claude/etc.) Support an AI voice calling agent for outbound/inbound calls (e.g., via Twilio, Vapi, Retell, or LiveKit) Assign leads to agents based on rules (location, budget, availability) Maintain conversation state/context across chat and voice channels Log and sync data to a CRM/database (Airtable, Postgres, or similar) We already have a JSON spec / architecture doc outlining the agent flows, which we'll share with shortlisted candidates. Looking for someone who has actually shipped n8n + AI agent + WhatsApp/voice integrations before — not just familiar with the tools in theory. Ideal candidate has: Strong hands-on n8n workflow design (webhooks, custom nodes, error handling) Experience integrating WhatsApp Business API / Twilio WhatsApp Experience with AI voice agents (Vapi, Retell AI, Bland AI, LiveKit, or Twilio Media Streams) LLM prompt engineering / function calling for structured agent behavior Comfortable working from a spec doc and iterating fast