Senior AI Automation Engineer

Responsibilities

• Design, build, and maintain AI-powered automations, internal tools, and integrations across corporate SaaS and cloud platforms.
• Develop scripts, utilities, APIs, and lightweight applications assisted by AI tools.
• Use AI coding assistants, AI agents, and MCP services to accelerate software development, automation delivery, and IT process innovation.
• Build automation workflows for user onboarding, offboarding, lifecycle management, role-based access, and data synchronisation.
• Build, maintain, and scale workflow automations using tools such as n8n or equivalent platforms, connecting SaaS applications, APIs, AI services, and internal systems to automate repeatable business and IT processes.
• Implement and maintain integrations using REST APIs, webhooks, event-driven workflows, and serverless cloud services.
• Build AI-assisted utilities and workflows that help IT teams and business stakeholders improve speed, accuracy, and operational visibility.
• Identify opportunities where AI, LLMs, and workflow automation can reduce manual work, improve data quality, and increase productivity.
• Create dashboards, reports, and operational insights by connecting data from different platforms through APIs and automation workflows.
• Work closely with IT specialists, DevOps engineers, security, finance, and business teams to understand needs and deliver scalable automation solutions.
• Explore emerging AI tools, automation frameworks, modern engineering practices, and new technologies; and help drive their adoption across IT.

Requirements

• 5-7+ years of experience in Automation Engineering, Software Engineering, DevOps, SaaS Operations, IT Operations, or equivalent.
• Strong scripting and automation experience using Python, PowerShell, Bash, JavaScript, or similar languages.
• Experience building scripts, utilities, APIs, lightweight applications, and integrations with support from AI coding assistants.
• Hands-on experience using AI tools such as OpenAI, Gemini, GitHub Copilot, Cursor, Claude, or similar to accelerate development, analysis, and problem-solving.
• Familiarity with AI agents, MCP services, prompt engineering, and LLM-based automation patterns.
• Experience building workflow automations using tools such as n8n, Zapier, Make, Workato, or equivalent platforms.
• Experience designing, consuming, and troubleshooting REST APIs, OAuth-based integrations, webhooks, and event-driven workflows.
• Hands-on experience with cloud platforms such as AWS, GCP, or Azure, including serverless services and cloud-based automation.
• Excellent documentation, communication, and cross-functional collaboration skills.
• #Li-remote
• Market recognition
• Equal Employer Opportunity (EEO)

Benefits

Additional Information

At Appfire, we believe that great work happens when people get to choose how they work. After 20 years of creating software that empowers teams to break silos and collaborate seamlessly, we've learned that one size does not fit all. We're a team of 800+ employees, working remotely across 28 countries. Our flagship products include: Appfire Flow, JXL, Comala Document Management, 7Pace Time Tracker, Jira Misc Workflow Extensions, and BigPicture. Here you can read some of our customer stories: https://appfire.com/resources/resource-library/customer-stories Appfire's AI Automation team builds intelligent workflows and internal apps supporting 300+ SaaS and cloud platforms across its global workforce. We are seeking a highly skilled AI Automation Engineer to own automation, system integrations, and data synchronisation across critical corporate systems. This role requires solid software engineering discipline, maintaining code repositories, and using AI coding assistants, AI agents, and MCP services to accelerate IT innovation. The ideal candidate enjoys experimenting with modern technologies and improving operations.

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