Remote AI automation Engineer

Description:

• Pavago is seeking a highly skilled AI Automation Engineer to join our client’s dynamic team.
• The position is a full-time contractor role that is remote and operates on EST working hours.
• The ideal candidate should have experience in AI-driven automation, a strong background in web development, and the ability to thrive in fast-paced, evolving technical environments.
• Key responsibilities include mapping out internal processes and designing automated workflows leveraging AI to optimize daily tasks, continuously monitoring AI automation systems to identify bottlenecks or inefficiencies, seamlessly integrating multiple AI platforms and third-party APIs, working closely with stakeholders to develop scalable automated solutions, and maintaining clear documentation of automation workflows and performance metrics.

Requirements:

• Candidates must have 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 is required.
• Hands-on experience with frameworks and models such as Claude, Cursor, and other emerging AI technologies is necessary.
• A solid understanding of web development fundamentals is essential.
• Strong knowledge of Google APIs, Google Workspace, and Google Console integrations is required.
• Candidates should demonstrate technical agility, with the ability to adapt quickly to new tools, troubleshoot technical issues, and optimize in dynamic environments.

Benefits:

• The role offers the opportunity to work in a fast-growing team that is making a real impact in the field of AI and automation.
• Candidates will have the chance to explore internal systems to uncover automation opportunities and design AI-enhanced workflows.
• The position allows for collaboration with cross-functional teams and stakeholders, enhancing communication and teamwork skills.
• The interview process includes multiple stages to ensure a good fit, including an initial phone call, video interview, practical assessment, final client interview, and background checks.