We are seeking a forward-thinkingAgentic AI Developerto 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" withinn8nthat can reason, plan, and execute complex business logic with minimal human intervention.
Key Responsibilities
- Agentic Workflow Design:Architect end-to-end autonomous workflows inn8n, utilizing theAI Agent node, specialized sub-workflows, and theModel Context Protocol (MCP).
- Tool Integration: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.
- Multi-Agent Orchestration:Build systems where multiple specialized agents (e.g., a "Researcher Agent" and a "Writer Agent") collaborate to complete high-level objectives.
- Prompt Engineering:Design and refine system prompts using techniques likeChain-of-Thought (CoT)andReActto ensure reliable and logical agent behavior.
- Human-in-the-Loop (HITL):Implement "Wait for Webhook" or approval nodes to ensure critical AI decisions are reviewed by humans before execution.
- Retrieval-Augmented Generation (RAG):Integrate vector databases (e.g., Pinecone, Qdrant) within n8n to provide agents with long-term memory and proprietary knowledge.
- Monitoring & Debugging:Use n8n’s execution logs and external tools to monitor agent "hallucinations," rate limits, and workflow failures.
Requirements
Required Skills & Qualifications
- Technical Mastery of n8n
- Deep experience with n8n’sAdvanced AI nodes(Agent, Chain, Memory, and Tool nodes).
- Ability to write complexJavaScript expressionsand use theCode Nodefor custom data manipulation.
- Expertise inJSONdata structures—specifically how n8n passes items between nodes.
- AI & LLM Literacy
- Hands-on experience with LLM providers (OpenAI, Anthropic, Google Gemini) and local models (Ollama/Llama).
- Understanding ofAgent Frameworks(e.g., how to translate LangChain or CrewAI concepts into n8n workflows).
- Knowledge ofFunction Callingand how to describe tools so an LLM can use them effectively.
- Backend & DevOps
- Proficiency inAPI integration(REST, Webhooks, OAuth2 authentication).
- Familiarity withDockerfor self-hosting n8n and managing environment variables.
- Basic database knowledge (SQL/NoSQL) for logging agent states and maintaining persistent memory.
Preferred Qualifications
- Experience withPythonfor advanced data processing within n8n.
- Knowledge ofModel Context Protocol (MCP)to standardize how agents access local and remote resources.
- A portfolio of "Agentic" projects (e.g., an autonomous lead research agent or a self-correcting customer support bot).
Benefits
- What is in for you?
- At WeblineIndia, in addition to competitive salary, we also provide an extensive benefits package which includes.
- 5-days working.
- On-site international work opportunities.
- Creative freedom to work.
- Work-life balance.
- Festive Holidays.
- Paid Leaves.
- Monetary incentives.
- Referral benefits.
- Various Awards & Recognition programs.
- Sponsored learning & certification programs.
- Fun events.
- Also, so much more.
- Join our team and contribute to our mission of delivering exceptional content that promotes our software solutions and services and engages our target audience.
Job description provided by WeblineIndia.
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