AI Engineer

<p data-pm-slice="1 1 []"><strong>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.</strong></p> <p>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.</p><br><strong>Accountabilities</strong><br><div> <p data-pm-slice="1 3 []">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.</p> <ul data-spread="false"> <li> <p>Develop and deploy agentic AI systems, including orchestration, tool use, state management, and human-in-the-loop workflows.</p> </li> <li> <p>Build agent runtimes and orchestration frameworks supporting specialized agents for vision quality, predictive maintenance, and operations planning.</p> </li> <li> <p>Design context assembly systems using industrial ontologies and memory, including tool dispatch, approval gates, tracing, and cost controls.</p> </li> <li> <p>Develop multimodal data pipelines combining video processing, computer vision, and structured operational data.</p> </li> <li> <p>Implement computer vision capabilities such as object detection, segmentation, and action recognition, using technologies such as YOLO and OpenCV.</p> </li> <li> <p>Process industrial sensor data, including RTSP video, time-series telemetry, vibration, thermal data, and PLC/OPC-UA streams.</p> </li> <li> <p>Build signal-processing and sensor-correlation workflows, including FFT feature extraction and cross-sensor analysis.</p> </li> <li> <p>Design and contribute to industrial ontologies and knowledge graphs representing plants, assets, sensors, work orders, materials, and maintenance histories.</p> </li> <li> <p>Develop memory systems for trace storage, playbooks, asset templates, and reusable failure-pattern libraries.</p> </li> <li> <p>Build operational interfaces such as dashboards, evidence-based alerting workflows, replanning tools, and audit trails.</p> </li> <li> <p>Develop integration connectors for ERP, CMMS, WMS, industrial historians, and PLC systems, ensuring data normalization and consistent schema mapping.</p> </li> <li> <p>Deliver end-to-end solutions spanning data ingestion, model serving, backend services, and frontend interfaces.</p> </li> <li> <p>Ensure production systems meet demanding requirements for reliability, latency, scalability, cost efficiency, and operational usability.</p> </li> <h3><strong>Requirements</strong></h3> <p>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.</p> <ul data-spread="false"> <li> <p>At least 3 years of experience building and shipping production AI systems; 5+ years preferred.</p> </li> <li> <p>Proven experience developing agentic AI products and production systems, including orchestration, tool integration, state management, and human oversight.</p> </li> <li> <p>Experience as an early-stage engineer at a venture-backed startup, contributing to products and systems from zero to one.</p> </li> <li> <p>Strong background in AI and machine learning applied to physical-world systems.</p> </li> <li> <p>Experience working with large-scale industrial data, such as video streams, IoT devices, sensor telemetry, vibration, thermal data, or PLC/OPC-UA systems.</p> </li> <li> <p>Hands-on experience building multimodal AI pipelines that combine computer vision with structured operational data.</p> </li> <li> <p>Understanding of data ingestion, normalization, temporal alignment, data quality, and ground-truth challenges in real-world environments.</p> </li> <li> <p>Experience with industrial ontologies, knowledge graphs, or structured context systems based on asset hierarchies and operational processes.</p> </li> <li> <p>Experience integrating AI systems with enterprise and industrial platforms such as ERP, CMMS, WMS, historians, or PLC systems.</p> </li> <li> <p>Strong software engineering skills across backend and frontend development, including Python and Type