Experienced AI Agent Developer Needed — RAG Pipeline, n8n Workflow Automation, LLM Chatbot

I need an experienced AI Agent Developer to build a focused, production-ready lead qualification agent that connects to my CRM, scores incoming leads automatically, and triggers personalised follow-up sequences without manual intervention. This is a scoped, single-agent build. No UI needed. No complex multi-layer architecture. Just a clean, working system that solves one problem completely and reliably. What Needs To Be Built A Python-based AI agent built with LangChain and GPT-4o that receives incoming lead data via webhook, scores the lead based on predefined qualification criteria, writes the qualification result and score back to the CRM automatically, and triggers a personalised follow-up email sequence based on the lead score. The agent needs to handle edge cases gracefully, log every decision for review, and flag low-confidence results for human review rather than guessing. Technical Requirements LangChain for agent logic, GPT-4o or Claude 3.5 Sonnet as the LLM, GoHighLevel or HubSpot for CRM integration via REST API, Python and FastAPI for the backend, webhooks for the lead intake trigger, and basic logging for decision tracking. Deliverables A working lead qualification agent deployed and tested end to end. Webhook endpoint receiving live lead data. CRM read and write integration confirmed working. Follow-up trigger logic tested on at least three lead scenarios. Clean documented code with a short Loom walkthrough. Timeline This should be completable in one focused session. I expect delivery within 24 to 48 hours of project start. Budget Fixed price. Please quote based on the scope above. To Apply Share one example of an AI agent or CRM automation you have built. Confirm your experience with LangChain and webhook-based integrations. Provide your fixed price quote.