Senior AI Automation Engineer

New
A
AppfireSaaS Software
The role is fully remote within Bulgaria, with the option to work from our Sofia office.Full-TimeSenior
Salary not disclosed
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Job Details

Experience
5–7+ years
Required Skills
AWSPythonBashGCPJavascriptAzureRESTful APIsLLM

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.
  • 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.
  • Excellent documentation, communication, and cross-functional collaboration skills.

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.
  • 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.
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