AI Automation Engineer

About Samotics 🏢 At Samotics, we monitor industrial equipment through Electrical Signature Analysis (ESA), using advanced AI to analyse the electrical “heartbeat” of motors, pumps, and drives. Our SAM4 platform detects failures from inside the motor control cabinet, without installing sensors on the asset itself. Today, we help industrial companies across water, chemicals, mining, and oil & gas improve reliability, reduce downtime, and use energy more efficiently. As we scale globally, we are investing in the next layer of leverage: internal AI and automation systems that help our teams move faster, work smarter, and operate at higher quality. The Role 👥 We are looking for an AI Automation Engineer to build the internal systems and workflows that make Samotics more effective. In this role, you will identify high-impact opportunities for automation across the business and turn them into scalable solutions using GenAI, APIs, internal tooling, and lightweight software. You will work across teams to improve how work gets done, from reducing repetitive manual tasks to building AI-powered workflows that enhance speed, consistency, and decision-making. This is a hands-on builder role for someone who combines strong technical fundamentals with a very strong and demonstrable affinity for GenAI. You are excited by the practical side of AI, not just experimenting, but turning ideas into reliable systems that deliver real value. Your Challenge 🎯 1. Build AI-powered workflows Design and implement GenAI-enabled workflows that improve how teams operate on a day-to-day basis. This can include research support, drafting assistance, knowledge workflows, internal copilots, or other AI applications that create clear business impact. 2. Automate business processes end-to-end Translate manual, repetitive, or fragmented processes into scalable automations. You connect systems, data, and actions across teams using APIs, orchestration tools, scripts, and sound automation logic. 3. Turn GenAI use cases into production-ready solutions Prototype, test, and improve practical GenAI applications. You know how to improve output quality, structure context, and apply the right level of validation to make AI useful in real workflows. 4. Build maintainable internal tooling Create solutions that are not only fast to launch, but also reliable and maintainable. You document what you build, improve existing workflows over time, and contribute to a strong technical foundation for internal automation. Example Tools & Stack You may work with tools such as: LLM APIs and GenAI platforms Python or TypeScript Workflow automation platforms REST APIs and webhooks Internal data sources and lightweight databases Custom scripts and internal tooling The exact stack will evolve, and you will help shape it.