AI Automation Specialist/Engineer

Location: Philippines, Colombia, Argentina, Slovakia, South Africa

Department: AT1E

Workplace: remote

Employment Type: full

Description

AI Automation Specialist / Engineer

Job Type: Remote, Full-Time

About the Role

We’re looking for a highly skilled AI Automation Specialist / Engineer to design, build, and optimize intelligent workflows that improve operational efficiency across the business. This role is ideal for someone who enjoys solving complex problems, streamlining repetitive processes, and leveraging AI tools to drive measurable impact.

You’ll work cross-functionally with operations, marketing, and leadership teams to identify automation opportunities and implement scalable solutions.

Key Responsibilities

• Design and implement end-to-end automation workflows using AI tools and platforms
• Identify repetitive tasks and inefficiencies, then develop solutions to optimize them
• Build and maintain integrations across tools (CRM, marketing platforms, databases, etc.)
• Develop AI-powered systems (chatbots, data pipelines, internal tools, etc.)
• Monitor, troubleshoot, and improve existing automations for performance and reliability
• Document processes, workflows, and system architecture
• Stay up to date with emerging AI tools, trends, and best practices

Requirements

• 3+ years of experience in AI automation, workflow engineering, or similar roles
• Strong understanding of automation tools (e.g., Zapier, Make, n8n, or similar)
• Experience working with APIs and system integrations
• Familiarity with AI/LLM tools (e.g., OpenAI, Claude, or similar platforms)
• Basic to intermediate programming skills (Python, JavaScript, or similar)
• Strong problem-solving and analytical skills
• Excellent communication and documentation abilities
• Ability to work independently and manage multiple projects

Nice to Have

• Experience with CRM systems (HubSpot, Salesforce, etc.)
• Background in data analysis or data engineering
• Experience building internal tools or dashboards
• Knowledge of prompt engineering and LLM optimization
• Exposure to RPA tools or advanced automation frameworks