AI Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Engineer based in Switzerland. We are looking for an experienced AI Engineer to build and deploy production-grade AI systems that address complex challenges across heavy industries, including utilities, manufacturing, logistics, and energy. You will play a key role in developing a next-generation industrial operating system, taking innovative products from concept to production. The role combines agentic AI, multimodal machine learning, industrial data integration, and full-stack engineering. You will work with real-world data from sensors, machines, and operational systems to deliver intelligent solutions that improve efficiency, reliability, and decision-making. This is a high-ownership opportunity in a fast-moving, zero-to-one product environment. You will help establish the foundations of an ambitious platform designed to transform industrial operations. Accountabilities You will design, build, and ship the core AI capabilities of an industrial intelligence platform, connecting advanced models with operational data, enterprise systems, and practical decision-making tools. • Develop and deploy agentic AI systems, including orchestration, tool use, state management, and human-in-the-loop workflows. • Build agent runtimes and orchestration frameworks supporting specialized agents for vision quality, predictive maintenance, and operations planning. • Design context assembly systems using industrial ontologies and memory, including tool dispatch, approval gates, tracing, and cost controls. • Develop multimodal data pipelines combining video processing, computer vision, and structured operational data. • Implement computer vision capabilities such as object detection, segmentation, and action recognition, using technologies such as YOLO and OpenCV. • Process industrial sensor data, including RTSP video, time-series telemetry, vibration, thermal data, and PLC/OPC-UA streams. • Build signal-processing and sensor-correlation workflows, including FFT feature extraction and cross-sensor analysis. • Design and contribute to industrial ontologies and knowledge graphs representing plants, assets, sensors, work orders, materials, and maintenance histories. • Develop memory systems for trace storage, playbooks, asset templates, and reusable failure-pattern libraries. • Build operational interfaces such as dashboards, evidence-based alerting workflows, replanning tools, and audit trails. • Develop integration connectors for ERP, CMMS, WMS, industrial historians, and PLC systems, ensuring data normalization and consistent schema mapping. • Deliver end-to-end solutions spanning data ingestion, model serving, backend services, and frontend interfaces. • Ensure production systems meet demanding requirements for reliability, latency, scalability, cost efficiency, and operational usability. Requirements The ideal candidate is an autonomous, hands-on AI engineer with experience taking complex systems from initial development to production, particularly in environments involving physical-world data and industrial operations. • At least 3 years of experience building and shipping production AI systems; 5+ years preferred. • Proven experience developing agentic AI products and production systems, including orchestration, tool integration, state management, and human oversight. • Experience as an early-stage engineer at a venture-backed startup, contributing to products and systems from zero to one. • Strong background in AI and machine learning applied to physical-world systems. • Experience working with large-scale industrial data, such as video streams, IoT devices, sensor telemetry, vibration, th