AI Automation Engineer

🧑🏻‍💻Role Overview As an AI Automation Engineer, you will support the implementation of AI and automation initiatives across multiple businesses, working closely with leadership, operational teams, and the existing IT department. This is a hands-on role combining AI implementation, workflow automation, systems integration, software development, and business process improvement. You will analyze existing workflows, connect platforms and data sources, build AI-powered automations, 👩🏻‍💻The ideal candidate can understand operational challenges, translate them into practical technical solutions, and determine when to use automation platforms versus custom-coded implementations. 📊Key Responsibilities -AI Automation & Workflow Development -Systems & Data Integration -AI Engineering & Custom Development -Process Discovery & Improvement -AI Adoption & Collaboration -Security & Data Management

📩Experience ✅3+ years of professional experience in software development, systems integration, automation engineering, or a related technical field. ✅Demonstrated experience building and deploying AI-powered automations and integrations in real business environments. ✅Experience within transportation, logistics, or related operational businesses is strongly preferred. ✅Experience working across multiple departments, systems, or business units is a plus. 🫵🏻Skills -Has hands-on proficiency with Python and/or JavaScript and can use code to develop custom integrations or automation functionality when required. -Demonstrates strong experience working with APIs, webhooks, databases, and system integrations to connect business applications and automate data flows. -Has experience building workflows with n8n, Make, Zapier, or similar automation platforms and can determine when a low-code solution is appropriate versus custom development. -Is comfortable integrating LLMs such as OpenAI, Claude, or comparable technologies into practical business workflows and applications. -Understands AI agents, workflow automation, and data-processing concepts and can apply them to operational business problems. -Has experience working with SQL and structured business data to retrieve, process, connect, and analyze information across systems. -Can work effectively with existing CRM, accounting, logistics, operational, or other business platforms when building integrations. -Understands appropriate security, access-control, and data-handling practices when connecting systems and implementing automations. -Can document technical workflows and explain AI and automation solutions clearly to both technical and non-technical stakeholders.