AI Workflow Designer

5 days ago

Sukkur, Sindh, Pakistan beBeeAutomation Full time $90,000 - $140,000
AI Automation Engineer

We are seeking a skilled professional to design and implement AI-enhanced workflows, leveraging automation tools like n8n or Make.com.

The ideal candidate has experience in AI-driven automation, a strong background in web development and workflow design, and thrives in fast-paced technical environments.

Key Responsibilities
  1. Workflow Design: Map out internal processes and create automated workflows using AI technologies.
  2. Performance Optimization: Continuously monitor AI automation systems, identifying bottlenecks and implementing improvements.
  3. Integration Management: Seamlessly integrate multiple AI platforms and third-party APIs, including Google Workspace and various AI tools.
  4. Scalability and Maintenance: Work closely with stakeholders to develop scalable, automated solutions and maintain clear documentation of automation workflows.
  5. Troubleshooting and Support: Provide proactive and independent support for automation efforts, ensuring high system performance.
Required Skills and Qualifications
  1. Experience: At least 1 year of experience working with AI technologies and at least 2 years of experience in workflow automation platforms and related tools.
  2. Automation Tools: Strong proficiency with workflow platforms such as n8n, Make.com, Zapier, and similar tools.
  3. Ai Platforms: Hands-on experience with frameworks and models such as Claude, Cursor, and other emerging AI technologies.
  4. Web Development: Solid understanding of web development fundamentals and API integration principles.
  5. Technical Agility: Ability to adapt quickly to new tools, troubleshoot technical issues, and optimize in dynamic environments.
Benefits
  1. Innovative Work Environment: Collaborative mindset and effective communication with cross-functional teams.
  2. Professional Growth: Opportunities for learning and growth in a rapidly evolving technical landscape.
  3. Results-Oriented: Proactive and results-driven approach to troubleshooting and scaling automation efforts.

You'll explore internal systems to uncover automation opportunities, design and implement AI-enhanced workflows, and ensure seamless API integrations. Regular monitoring and performance optimization will be key, as will collaboration with teams to troubleshoot and scale automation efforts that drive measurable business value.

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