Automated Workflow Specialist

2 days ago

Islamabad, Islamabad, Pakistan beBeeExpertise Full time $80,000 - $100,000
AI Automation Engineer

Pavago is seeking a highly skilled AI automation engineer to join their dynamic team. The ideal candidate has experience with AI-driven automation, a strong background in web development and workflow design, and thrives in fast-paced, evolving technical environments.

Job Description:
  • Design automated workflows leveraging AI to optimize daily tasks.
  • Monitor AI automation systems, identifying bottlenecks or inefficiencies and implementing improvements.
  • Integrate multiple AI platforms and third-party APIs, including Google Workspace and various AI tools.
  • Work with stakeholders to understand pain points and develop scalable, automated solutions.
  • Maintain clear documentation of automation workflows, performance metrics, and updates for internal use.
Required Skills & Qualifications:
  • At least 1 year of experience working with AI technologies, and at least 2 years of experience in workflow automation platforms and related tools.
  • Strong proficiency with workflow platforms such as n8n, Make.com, Zapier, Bolt.new, and similar tools.
  • Hands-on experience with frameworks and models such as Claude, Cursor, and other emerging AI technologies.
  • Solid understanding of web development fundamentals.
  • Strong knowledge of Google APIs, Google Workspace, and Google Console integrations.
  • Able to adapt quickly to new tools, troubleshoot technical issues, and optimize in dynamic environments.
What Makes You a Perfect Fit?
  • Innovative Thinking: Passion for identifying process improvements and creating creative automation workflows.
  • Technical Expertise: Strong grasp of various AI tools and the ability to integrate systems seamlessly.
  • Detail-Oriented: Excellent monitoring and fine-tuning skills to ensure high system performance.
  • Collaborative Mindset: Effective communication with cross-functional teams and stakeholders.
  • Self-Motivated: Proactive and independent, taking full ownership of tasks from concept to execution.
A Typical Day:

You'll explore internal systems to uncover automation opportunities, design and implement AI-enhanced workflows using tools like n8n or Make.com, and ensure seamless API integrations with platforms like Google Workspace. 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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