Advanced n8n Developer for AI-Orchestrated Modular Multi-Agent System
5 days ago
𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀:
- Design and develop modular, scalable multi-agent AI workflows using n8n's node-based architecture.
- Integrate Large Language Models (LLMs) like OpenAI, Claude, or DeepSeek with n8n for intelligent automation (e.g., chatbots, data analysis, decision-making).
- Build and orchestrate AI agents for tasks like customer interaction, document processing, lead generation, and data enrichment.
- Connect n8n workflows to external APIs, vector databases (e.g., Pinecone, Supabase), and tools like Google Sheets, WhatsApp, Slack, and CRMs.
- Implement Retrieval-Augmented Generation (RAG) for context-aware AI responses using vector stores.
- Use n8n's advanced flow control (e.g., Compare Datasets, custom JavaScript nodes) to manage complex agent interactions.
- Ensure workflows are robust with debugging, error handling, and real-time execution logs.
- Collaborate with stakeholders to translate business needs into technical workflows.
- Optimize workflows for performance, scalability, and maintainability.
- Optionally, self-host n8n for unlimited executions and enhanced data privacy.
𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗱 𝗦𝗸𝗶𝗹𝗹𝘀 & 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲:
𝘈𝘥𝘷𝘢𝘯𝘤𝘦𝘥 𝘯8𝘯 𝘌𝘹𝘱𝘦𝘳𝘵𝘪𝘴𝘦:
- Proven experience building complex n8n workflows, including AI Agent nodes, triggers, webhooks, and custom nodes.
𝘈𝘐 𝘈𝘶𝘵𝘰𝘮𝘢𝘵𝘪𝘰𝘯 𝘒𝘯𝘰𝘸𝘭𝘦𝘥𝘨𝘦:
- Hands-on experience with AI agents, LLMs (e.g., ChatGPT, Claude, Gemini), and RAG implementations.
𝘈𝘗𝘐 𝘗𝘳𝘰𝘧𝘪𝘤𝘪𝘦𝘯𝘤𝘺:
- Strong understanding of RESTful APIs, authentication (OAuth, JWT), and data formats (JSON, XML).
𝘔𝘰𝘥𝘶𝘭𝘢𝘳 𝘚𝘺𝘴𝘵𝘦𝘮 𝘋𝘦𝘴𝘪𝘨𝘯:
- Experience architecting modular, multi-agent systems with agent-to-agent communication and orchestration.
𝘗𝘳𝘰𝘨𝘳𝘢𝘮𝘮𝘪𝘯𝘨 𝘚𝘬𝘪𝘭𝘭𝘴:
- Proficiency in JavaScript or Python for custom n8n nodes and advanced logic.
𝘐𝘯𝘵𝘦𝘨𝘳𝘢𝘵𝘪𝘰𝘯 𝘌𝘹𝘱𝘦𝘳𝘪𝘦𝘯𝘤𝘦:
- Familiarity with integrating n8n with tools like Supabase, Pinecone, Google Workspace, CRMs (e.g., HubSpot, Salesforce), and communication platforms (e.g., WhatsApp, Telegram).
𝘗𝘳𝘰𝘣𝘭𝘦𝘮-𝘚𝘰𝘭𝘷𝘪𝘯𝘨:
- Ability to translate complex business requirements into efficient, scalable workflows.
𝘉𝘰𝘯𝘶𝘴 𝘚𝘬𝘪𝘭𝘭𝘴:
Experience with LangChain, CrewAI, or AutoGen for agent orchestration.
Knowledge of vector databases and embeddings for semantic search.
Familiarity with self-hosting n8n (Docker, Kubernetes) and MCP servers.
Prompt engineering for optimizing AI agent outputs.
𝗤𝘂𝗮𝗹𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀:
- 3+ years of experience in workflow automation, with at least 1 year focused on n8n and AI-driven solutions.
- Portfolio of n8n workflows or side projects showcasing AI automation (please share links or examples).
- Passion for AI, automation, and staying updated with emerging technologies.
No formal education required—self-taught developers with strong hands-on experience are welcome.
𝑃𝑙𝑒𝑎𝑠𝑒 𝑠𝑒𝑛𝑑 𝑦𝑜𝑢𝑟 𝑟𝑒𝑠𝑢𝑚𝑒, 𝑎 𝑏𝑟𝑖𝑒𝑓 𝑐𝑜𝑣𝑒𝑟 𝑙𝑒𝑡𝑡𝑒𝑟, 𝑎𝑛𝑑 𝑙𝑖𝑛𝑘𝑠 𝑡𝑜 𝑟𝑒𝑙𝑒𝑣𝑎𝑛𝑡 𝑛8𝑛 𝑝𝑟𝑜𝑗𝑒𝑐𝑡𝑠 𝑜𝑟 𝐺𝑖𝑡𝐻𝑢𝑏 𝑟𝑒𝑝𝑜𝑠𝑖𝑡𝑜𝑟𝑖𝑒𝑠 𝑡𝑜 .𝒑𝒓𝒐. 𝐻𝑖𝑔ℎ𝑙𝑖𝑔ℎ𝑡 𝑠𝑝𝑒𝑐𝑖𝑓𝑖𝑐 𝑒𝑥𝑎𝑚𝑝𝑙𝑒𝑠 𝑜𝑓 𝑛8𝑛 𝑤𝑜𝑟𝑘𝑓𝑙𝑜𝑤𝑠 𝑜𝑟 𝐴𝐼 𝑎𝑔𝑒𝑛𝑡 𝑠𝑦𝑠𝑡𝑒𝑚𝑠 𝑦𝑜𝑢'𝑣𝑒 𝑏𝑢𝑖𝑙𝑡. 𝐼𝑓 𝑎𝑣𝑎𝑖𝑙𝑎𝑏𝑙𝑒, 𝑖𝑛𝑐𝑙𝑢𝑑𝑒 𝑎 𝑠ℎ𝑜𝑟𝑡 𝑑𝑒𝑠𝑐𝑟𝑖𝑝𝑡𝑖𝑜𝑛 𝑜𝑓 𝑎 𝑚𝑢𝑙𝑡𝑖-𝑎𝑔𝑒𝑛𝑡 𝑠𝑦𝑠𝑡𝑒𝑚 𝑦𝑜𝑢'𝑣𝑒 𝑑𝑒𝑠𝑖𝑔𝑛𝑒𝑑 𝑎𝑛𝑑 𝑖𝑡𝑠 𝑖𝑚𝑝𝑎𝑐𝑡.
𝗡𝗼𝘁𝗲: 𝘞𝘦'𝘳𝘦 𝘰𝘱𝘦𝘯 𝘵𝘰 𝘣𝘰𝘵𝘩 𝘧𝘶𝘭𝘭-𝘵𝘪𝘮𝘦 𝘩𝘪𝘳𝘦𝘴 𝘢𝘯𝘥 𝘧𝘳𝘦𝘦𝘭𝘢𝘯𝘤𝘦 𝘤𝘰𝘯𝘵𝘳𝘢𝘤𝘵𝘰𝘳𝘴.
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