n8n / Make.com AI Automation Engineer to Build LLM-t (Chatbot + AI Agents + API/Webhooks)

Hi! We’re looking for someone who can build a reliable AI automation system that helps us automatically classify/tag, enrich, and route inbound leads/messages using LLM integration (OpenAI/LLMs) inside a structured workflow. This is not a basic “trigger → action” setup. We need a clean, scalable build with validation, error handling, and clear documentation. What we want to automate AI chatbot integration into automation workflows (simple chat intake or message processing via webhook) Classification / tagging automation: use an LLM to label intent (sales/support/other), urgency, topic, and next step AI-powered data extraction and enrichment via API integration (pull key fields, normalize data, optional automated enrichment) Route to the right workflow and push clean data into our systems (CRM/database/spreadsheet) Optional: light content automation (draft replies, summaries, internal notes) with guardrails Tools / stack Workflow orchestration: n8n or Make.com (Zapier ok if justified) API-based AI integration using webhooks + REST APIs Data processing layer can be Airtable / Notion / Google Sheets (open to your recommendation) What success looks like A production-ready AI workflow / AI pipeline that runs consistently Clean logging + retries + safe fallbacks when the AI/API fails Short handoff docs: “what triggers what,” and where the data lives (design and implement AI workflow pipeline with documentation) To apply, please include Which tool you prefer: n8n, Make.com, or Zapier 1–2 relevant examples (AI workflows, chatbots, AI agents, data extraction, classification) Any experience with scalable AI workflows and debugging edge cases Start your proposal with “AI-WORKFLOW” so I know you read this Apply tot his job