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Forward Deployed AI Engineer

Agilerobotsse•Munich, Bavaria
Full-timeMid Level
👁️ 0 views•📝 0 applications•Posted 9/26/2026•Expires 10/26/2026
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Job Description

Agile Robots SE is an innovative company with a clear mission: bringing intelligent robotic solutions to our customers. We combine the latest technology in the field of AI with powerful robotic systems — from industrial robot arms and mobile manipulators to humanoids — to solve tasks that classical automation cannot address. At the heart of our offering is a versatile software platform for orchestrating complex robotic systems. It allows efficient customization for specific customer requirements: configuring systems, developing reusable skills, parameterizing processes, and executing tasks reliably in production. Learned models — from perception to end-to-end policies — are a core part of this platform. Our solutions are deployed with international customers across a wide range of industries. Seamless integration and scalable deployment are at the core of our mission. We are looking for a passionate Forward Deployed AI Engineer to bring state-of-the-art robot learning and computer vision models into real production environments. In this role, you will train, fine-tune, and deploy AI models directly on customer robots — from Vision-Language-Action models and diffusion policies to perception and grasp generation networks. You will become a trusted technical partner, turning customer challenges into robust, data-driven robotics applications. The role is based in Munich, Germany. Responsibilities Deploy, fine-tune, and evaluate AI models on real robotic systems at customer sites — including Vision-Language-Action (VLA) models, diffusion policies, and other end-to-end learned policies Adapt and train perception models for robotic applications, e.g. object detection, segmentation, and pose estimation based on YOLO, SAM, vision transformers, and self-supervised backbones such as DINOv2 Integrate and tune grasp generation models (e.g., GraspNet, Dex-Net, Contact-GraspNet) for bin picking and manip

Required Skills

AI modelsVision-Language-Actiondiffusion policiesperception modelsobject detectionsegmentationpose estimationYOLOSAMvision transformersself-supervised learningDINOv2grasp generation modelsGraspNetDex-NetContact-GraspNet

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