Agentic AI Developer (n8n & Workflow Automation)
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Key Responsibilities<\/span><\/span>
<\/h3>Agentic Workflow Design:<\/span><\/b> <\/span><\/span>Architect end\-to\-end autonomous workflows in<\/span> <\/span><\/span>n8n<\/span><\/b>, utilizing the<\/span> <\/span><\/span>AI Agent node<\/span><\/b>, specialized sub\-workflows, and the<\/span> <\/span><\/span>Model Context Protocol (MCP)<\/span><\/b>.<\/span>
<\/span><\/p><\/li>Tool Integration:<\/span><\/b> <\/span><\/span>Develop and maintain custom "tools" (via HTTP requests or JavaScript/Python nodes) that allow AI agents to interact with our CRM, databases, and third\-party SaaS platforms.<\/span>
<\/span><\/p><\/li>Multi\-Agent Orchestration:<\/span><\/b> <\/span><\/span>Build systems where multiple specialized agents (e.g., a "Researcher Agent" and a "Writer Agent") collaborate to complete high\-level objectives.<\/span>
<\/span><\/p><\/li>Prompt Engineering:<\/span><\/b> <\/span><\/span>Design and refine system prompts using techniques like<\/span> <\/span><\/span>Chain\-of\-Thought (CoT)<\/span><\/b> <\/span><\/span>and<\/span> <\/span><\/span>ReAct<\/span><\/b> <\/span><\/span>to ensure reliable and logical agent behavior.<\/span>
<\/span><\/p><\/li>Human\-in\-the\-Loop (HITL):<\/span><\/b> <\/span><\/span>Implement "Wait for Webhook" or approval nodes to ensure critical AI decisions are reviewed by humans before execution.<\/span>
<\/span><\/p><\/li>Retrieval\-Augmented Generation (RAG):<\/span><\/b> <\/span><\/span>Integrate vector databases (e.g., Pinecone, Qdrant) within n8n to provide agents with long\-term memory and proprietary knowledge.<\/span>
<\/span><\/p><\/li>Monitoring & Debugging:<\/span><\/b> <\/span><\/span>Use n8n\u2019s execution logs and external tools to monitor agent "hallucinations," rate limits, and workflow failures.<\/span>
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Requirements<\/h3>Required Skills & Qualifications<\/span><\/span><\/b>
<\/h3>1. Technical Mastery of n8n<\/span><\/b>
<\/span><\/h4>Deep experience with n8n\u2019s<\/span> <\/span><\/span>Advanced AI nodes<\/span><\/b> <\/span><\/span>(Agent, Chain, Memory, and Tool nodes).
<\/span><\/p><\/li>Ability to write complex<\/span> <\/span><\/span>JavaScript expressions<\/span><\/b> <\/span><\/span>and use the<\/span> <\/span><\/span>Code Node<\/span><\/b> <\/span><\/span>for custom data manipulation.
<\/span><\/p><\/li>Expertise in<\/span> <\/span><\/span>JSON<\/span><\/b> <\/span><\/span>data structures\u2014specifically how n8n passes items between nodes.
<\/span><\/p><\/li><\/ul>2. AI & LLM Literacy<\/span><\/b>
<\/span><\/h4>Hands\-on experience with LLM providers (OpenAI, Anthropic, Google Gemini) and local models (Ollama/Llama).
<\/span><\/p><\/li>Understanding of<\/span> <\/span><\/span>Agent Frameworks<\/span><\/b> <\/span><\/span>(e.g., how to translate LangChain or CrewAI concepts into n8n workflows).
<\/span><\/p><\/li>Knowledge of<\/span> <\/span><\/span>Function Calling<\/span><\/b> <\/span><\/span>and how to describe tools so an LLM can use them effectively.
<\/span><\/p><\/li><\/ul>3. Backend & DevOps<\/span><\/b>
<\/span><\/h4>Proficiency in<\/span> <\/span><\/span>API integration<\/span><\/b> <\/span><\/span>(REST, Webhooks, OAuth2 authentication).
<\/span><\/p><\/li>Familiarity with<\/span> <\/span><\/span>Docker<\/span><\/b> <\/span><\/span>for self\-hosting n8n and managing environment variables.
<\/span><\/p><\/li>Basic database knowledge (SQL/NoSQL) for logging agent states and maintaining persistent memory.<\/span>
<\/p><\/li><\/ul>Preferred Qualifications<\/span><\/b>
<\/span><\/h3>Experience with<\/span> <\/span><\/span>Python<\/span><\/b> <\/span><\/span>for advanced data processing within n8n.
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Agentic Workflow Design:<\/span><\/b> <\/span><\/span>Architect end\-to\-end autonomous workflows in<\/span> <\/span><\/span>n8n<\/span><\/b>, utilizing the<\/span> <\/span><\/span>AI Agent node<\/span><\/b>, specialized sub\-workflows, and the<\/span> <\/span><\/span>Model Context Protocol (MCP)<\/span><\/b>.<\/span> Tool Integration:<\/span><\/b> <\/span><\/span>Develop and maintain custom "tools" (via HTTP requests or JavaScript/Python nodes) that allow AI agents to interact with our CRM, databases, and third\-party SaaS platforms.<\/span> Multi\-Agent Orchestration:<\/span><\/b> <\/span><\/span>Build systems where multiple specialized agents (e.g., a "Researcher Agent" and a "Writer Agent") collaborate to complete high\-level objectives.<\/span> Prompt Engineering:<\/span><\/b> <\/span><\/span>Design and refine system prompts using techniques like<\/span> <\/span><\/span>Chain\-of\-Thought (CoT)<\/span><\/b> <\/span><\/span>and<\/span> <\/span><\/span>ReAct<\/span><\/b> <\/span><\/span>to ensure reliable and logical agent behavior.<\/span> Human\-in\-the\-Loop (HITL):<\/span><\/b> <\/span><\/span>Implement "Wait for Webhook" or approval nodes to ensure critical AI decisions are reviewed by humans before execution.<\/span> Retrieval\-Augmented Generation (RAG):<\/span><\/b> <\/span><\/span>Integrate vector databases (e.g., Pinecone, Qdrant) within n8n to provide agents with long\-term memory and proprietary knowledge.<\/span> Monitoring & Debugging:<\/span><\/b> <\/span><\/span>Use n8n\u2019s execution logs and external tools to monitor agent "hallucinations," rate limits, and workflow failures.<\/span> Deep experience with n8n\u2019s<\/span> <\/span><\/span>Advanced AI nodes<\/span><\/b> <\/span><\/span>(Agent, Chain, Memory, and Tool nodes). Ability to write complex<\/span> <\/span><\/span>JavaScript expressions<\/span><\/b> <\/span><\/span>and use the<\/span> <\/span><\/span>Code Node<\/span><\/b> <\/span><\/span>for custom data manipulation. Expertise in<\/span> <\/span><\/span>JSON<\/span><\/b> <\/span><\/span>data structures\u2014specifically how n8n passes items between nodes. Hands\-on experience with LLM providers (OpenAI, Anthropic, Google Gemini) and local models (Ollama/Llama). Understanding of<\/span> <\/span><\/span>Agent Frameworks<\/span><\/b> <\/span><\/span>(e.g., how to translate LangChain or CrewAI concepts into n8n workflows). Knowledge of<\/span> <\/span><\/span>Function Calling<\/span><\/b> <\/span><\/span>and how to describe tools so an LLM can use them effectively. Proficiency in<\/span> <\/span><\/span>API integration<\/span><\/b> <\/span><\/span>(REST, Webhooks, OAuth2 authentication). Familiarity with<\/span> <\/span><\/span>Docker<\/span><\/b> <\/span><\/span>for self\-hosting n8n and managing environment variables. Basic database knowledge (SQL/NoSQL) for logging agent states and maintaining persistent memory.<\/span> Experience with<\/span> <\/span><\/span>Python<\/span><\/b> <\/span><\/span>for advanced data processing within n8n.
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<\/div><\/span>Requirements<\/h3>
Required Skills & Qualifications<\/span><\/span><\/b>
<\/h3>1. Technical Mastery of n8n<\/span><\/b>
<\/span><\/h4>
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<\/span><\/p><\/li><\/ul>2. AI & LLM Literacy<\/span><\/b>
<\/span><\/h4>
<\/span><\/p><\/li>
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<\/span><\/p><\/li><\/ul>3. Backend & DevOps<\/span><\/b>
<\/span><\/h4>
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<\/p><\/li><\/ul>Preferred Qualifications<\/span><\/b>
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