Agentic AI Engineer (n8n Workflow Automation)

Summary

We are seeking a highly skilled Agentic AI Engineer to lead the design and implementation of intelligent automation solutions within our IT Services division. In this pivotal role, you will leverage advanced AI capabilities and the n8n workflow automation platform to drive operational efficiency and innovation. The ideal candidate will bridge the gap between complex business processes and cutting-edge artificial intelligence, creating robust, scalable systems that enhance organizational productivity and deliver measurable value.

Responsibilities

• Architect and develop sophisticated AI-driven workflows using n8n to automate complex business processes.
  
• Design and implement agentic AI solutions that can independently execute tasks, make decisions, and adapt to dynamic environments.
  
• Integrate diverse third-party APIs and services to ensure seamless data flow and connectivity across various platforms.
  
• Optimize existing workflow structures to improve performance, reduce latency, and enhance overall system reliability.
  
• Develop and maintain knowledge management systems that support AI agents with accurate, up-to-date information.
  
• Conduct thorough analysis of business requirements to identify opportunities for automation and process improvement.
  
• Troubleshoot and resolve technical issues related to workflow execution, API connectivity, and AI model performance.
  

Requirements

Requirements:

• Possess 3 to 6 years of professional experience in software development, automation, or AI engineering.
  
• Demonstrate strong proficiency in API integration, data handling, and workflow optimization techniques.
  
• Show deep expertise in n8n workflow automation and the ability to build custom nodes or extensions.
  
• Have a proven track record in developing agentic AI systems and deploying AI-driven process automation solutions.
  
• Exhibit exceptional problem-solving abilities with a strong analytical mindset for diagnosing complex technical challenges.
  
• Understand the principles of knowledge management and how to effectively structure data for AI consumption.
  
• Hold a relevant degree in Computer Science, Engineering, or a related field, with a portfolio of automation projects.