AI Automation Specialist

AI Automation Specialist

Job Overview

We’re seeking an innovative AI Automation Specialist to join a forward-thinking UK-based team dedicated to building smarter, scalable systems. In this role, you’ll design and deploy cutting-edge automations, build AI-powered agents, and streamline processes across departments – from marketing and CRM to onboarding and internal operations.

This is a fantastic opportunity to work at the intersection of automation, AI, and operational excellence – ideal for a self-starter who thrives in a fast-paced, remote-first environment.

Key Responsibilities

• Design, build, and maintain advanced automations using platforms like n8n, Make, or Zapier.
• Develop agentic AI workflows leveraging LLM APIs such as OpenAI or Claude.
• Automate processes across a range of tools including GoHighLevel (CRM), Notion (project management), Slack (communication), and Google Workspace.
• Collaborate with team leads to integrate AI-powered solutions into day-to-day operations.
• Translate existing SOPs and manual processes into efficient, scalable workflows.
• Maintain clean documentation and version control to ensure clarity and transparency.
• Refactor outdated automations into a robust, modern low-code stack.
• Uphold best practices for automation consistency, governance, and usability across teams.

Qualifications and Experience

• Minimum of 3 years’ experience building low-code/no-code automations (e.g. Zapier, n8n, Make.com).
• Strong technical knowledge of APIs, authentication flows, webhooks, data routing, and error handling.
• Experience working with tools such as GoHighLevel, Notion, Slack, and Google Workspace.
• Skilled at building automations that incorporate LLM responses and decision-based logic.
• Familiarity with agentic workflows — systems that can act, respond, and self-correct.
• Excellent documentation and communication skills in a remote-first environment.
• Organised, detail-oriented, and proactive.
• Bonus: Proficiency in JavaScript or prior experience in AI product environments.