SeniorAIAutomationEngineer

## Accountabilities Design, build, and maintain AI-powered automations, internal tools, and integrations across enterprise SaaS and cloud platforms. Develop scripts, APIs, utilities, and lightweight applications using AI-assisted development workflows. Build and manage workflow automations using platforms such as n8n or similar tools, connecting APIs, SaaS applications, and internal systems. Implement and maintain integrations using REST APIs, webhooks, OAuth authentication, and event-driven architectures. Leverage AI tools, LLMs, and agents to accelerate development, automate processes, and improve operational efficiency. Identify and implement opportunities to reduce manual effort and improve data quality through automation and AI. Create dashboards, reports, and operational insights by integrating data across multiple systems. Collaborate with cross-functional teams to understand requirements and deliver scalable automation solutions. Explore and adopt emerging AI technologies and automation frameworks to improve engineering practices. Requirements: 5–7+ years of experience in Automation Engineering, Software Engineering, DevOps, IT Operations, or similar roles. Strong programming and scripting skills in Python, JavaScript, Bash, PowerShell, or similar languages. Hands-on experience building APIs, scripts, integrations, and automation solutions. Proven experience using AI tools such as OpenAI, Gemini, GitHub Copilot, Cursor, Claude, or similar platforms. Familiarity with AI agents, MCP services, prompt engineering, and LLM-based automation concepts. Experience with workflow automation platforms such as n8n, Zapier, Make, or Workato. Strong understanding of REST APIs, webhooks, OAuth, and event-driven integration patterns. Experience working with cloud platforms such as AWS, Azure, or GCP, including serverless services. Excellent communication, documentation, and cross-functional collaboration skills. Strong analytical thinking and curiosity for emerging AI and au