Agentic AI Developer (n8n & Workflow Automation)

We are seeking a forward\-thinking<\/span><\/span> <\/span><\/span><\/span><\/span><\/span><\/span><\/span>Agentic AI Developer<\/span><\/span><\/b> <\/span><\/span><\/span>to design, build, and scale autonomous AI agents and multi\-agent systems. Unlike traditional automation, you won't just be connecting APIs; you will be building "brains" within<\/span><\/span> <\/span><\/span><\/span><\/span><\/span><\/span><\/span>n8n<\/span><\/span><\/b> <\/span><\/span><\/span>that can reason, plan, and execute complex business logic with minimal human intervention.
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Key Responsibilities<\/span><\/span>
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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>
    <\/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>
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  • 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>
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  • 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>
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  • 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>
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  • 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>
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    1. Technical Mastery of n8n<\/span><\/b>
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    • Deep experience with n8n\u2019s<\/span> <\/span><\/span>Advanced AI nodes<\/span><\/b> <\/span><\/span>(Agent, Chain, Memory, and Tool nodes).
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    • 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.
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    • Expertise in<\/span> <\/span><\/span>JSON<\/span><\/b> <\/span><\/span>data structures\u2014specifically how n8n passes items between nodes.
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      2. AI & LLM Literacy<\/span><\/b>
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      • Hands\-on experience with LLM providers (OpenAI, Anthropic, Google Gemini) and local models (Ollama/Llama).
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      • Understanding of<\/span> <\/span><\/span>Agent Frameworks<\/span><\/b> <\/span><\/span>(e.g., how to translate LangChain or CrewAI concepts into n8n workflows).
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      • Knowledge of<\/span> <\/span><\/span>Function Calling<\/span><\/b> <\/span><\/span>and how to describe tools so an LLM can use them effectively.
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        3. Backend & DevOps<\/span><\/b>
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        • Proficiency in<\/span> <\/span><\/span>API integration<\/span><\/b> <\/span><\/span>(REST, Webhooks, OAuth2 authentication).
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        • Familiarity with<\/span> <\/span><\/span>Docker<\/span><\/b> <\/span><\/span>for self\-hosting n8n and managing environment variables.
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        • Basic database knowledge (SQL/NoSQL) for logging agent states and maintaining persistent memory.<\/span>
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          Preferred Qualifications<\/span><\/b>
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          • Experience with<\/span> <\/span><\/span>Python<\/span><\/b> <\/span><\/span>for advanced data processing within n8n.
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          • Knowledge of<\/span> <\/span><\/span>Model Context Protocol (MCP)<\/span><\/b> <\/span><\/span>to standardize how agents access local and remote resources.
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          • A portfolio of "Agentic" projects (e.g., an autonomous lead research agent or a self\-correcting customer support bot).
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            Benefits<\/h3>

            What is in for you?<\/span><\/span><\/b>
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            At WeblineIndia, in addition to competitive salary, we also provide an extensive benefits package which includes.<\/span><\/span>
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            • 5\-days working.<\/span><\/span><\/span><\/span>
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            • On\-site international work opportunities.<\/span><\/span>
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            • Creative freedom to work.<\/span><\/span>
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            • Work\-life balance.<\/span><\/span>
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            • Festive Holidays.<\/span><\/span>
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            • Paid Leaves.<\/span><\/span>
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            • Monetary incentives.<\/span><\/span>
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            • Referral benefits.<\/span><\/span>
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            • Various Awards & Recognition programs.<\/span><\/span>
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            • Sponsored learning & certification programs.<\/span><\/span>
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            • Fun events.<\/span><\/span>
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            • Also, so much more.<\/span><\/span>
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              Join our team and contribute to our mission of delivering exceptional content that promotes our software solutions and services and engages our target audience.<\/span><\/span>
              <\/p><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>


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