
AI Automation Engineer
4 weeks ago
Position Type: Full-time contractor, remote
Working Hours: EST
About Pavago
Pavago is seeking a highly skilled AI Automation Engineer to join our client's dynamic team. The ideal candidate is experienced in AI-driven automation, has a strong background in web development and workflow design, and thrives in fast-paced, evolving technical environments.
Key Responsibilities
- System Automation Design: Map out internal processes and design automated workflows leveraging AI to optimize daily tasks.
- Performance Monitoring: Continuously monitor AI automation systems, identifying bottlenecks or inefficiencies and implementing improvements.
- Integration Management: Seamlessly integrate multiple AI platforms and third-party APIs, including Google Workspace and various AI tools.
- Workflow Optimization: Work closely with stakeholders to understand pain points and develop scalable, automated solutions.
- Documentation & Reporting: Maintain clear documentation of automation workflows, performance metrics, and updates for internal use.
Required Experience & Skills
- 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.
- Automation Tools: Strong proficiency with workflow platforms such as n8n, Make.com, Zapier, Bolt.new, and similar tools.
- AI Platforms: Hands-on experience with frameworks and models such as Claude, Cursor, and other emerging AI technologies.
- Web Development: Solid understanding of web development fundamentals.
- API Integration: Strong knowledge of Google APIs, Google Workspace, and Google Console integrations.
- Technical Agility: Ability 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.
What Does a Typical Day Look Like?
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.
Interview Process
- Initial Phone Call: Engage in a brief conversation to understand your experience and suitability for the role.
- Video Interview: Dive deeper into your professional background and assess your skills in a 30-minute call.
- Practical Assessment: Showcase your leadership and training abilities through relevant scenarios.
- Final Client Interview: Have a comprehensive discussion with our client to ensure mutual alignment.
- Background Checks: Conduct swift verification of your references and past employment details.
Ready to Apply?
If you're passionate about AI, web technologies, and workflow automation, and ready to join a fast-growing team making a real impact, this is the role for you
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