Agentic AI Developer (n8n & Workflow Automation)

Key Responsibilities

• Agentic Workflow Design: Architect end-to-end autonomous workflows in n8n, utilizing the AI Agent node, specialized sub-workflows, and the Model 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 like Chain-of-Thought (CoT) and ReAct to 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

1. Technical Mastery of n8n

• Deep experience with n8n’s Advanced AI nodes (Agent, Chain, Memory, and Tool nodes).
  

• Ability to write complex JavaScript expressions and use the Code Node for custom data manipulation.
  

• Expertise in JSON data structures—specifically how n8n passes items between nodes.
  

2. AI & LLM Literacy

• Hands-on experience with LLM providers (OpenAI, Anthropic, Google Gemini) and local models (Ollama/Llama).
  

• Understanding of Agent Frameworks (e.g., how to translate LangChain or CrewAI concepts into n8n workflows).
  

• Knowledge of Function Calling and how to describe tools so an LLM can use them effectively.
  

3. Backend & DevOps

• Proficiency in API integration (REST, Webhooks, OAuth2 authentication).
  

• Familiarity with Docker for self-hosting n8n and managing environment variables.
  

• Basic database knowledge (SQL/NoSQL) for logging agent states and maintaining persistent memory.
  

Preferred Qualifications

• Experience with Python for advanced data processing within n8n.
  

• Knowledge of Model 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?

• 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.