Forward Deployed AI Engineer

About the role

<p>&nbsp;</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <h4>Responsibilities</h4> <ul> <li>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</li> <li>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</li> <li>Integrate and tune grasp generation models (e.g., GraspNet, Dex-Net, Contact-GraspNet) for bin picking and manipulation tasks</li> <li>Build data pipelines for customer deployments: demonstration and teleoperation recording, dataset curation, annotation, training runs, and systematic evaluation of model performance</li> <li>Bring models into production: optimize inference, deploy on edge and embedded hardware, and integrate models into our robotic software platform</li> <li>Work closely with customers to understand technical requirements and translate them into robust, AI-driven robotics applications</li> <li>Diagnose, troubleshoot, and resolve model, software, and system integration issues both remotely and on-site</li> <li>Travel to international customer sites for workshops, deployments, training, and technical support (up to 40% travel)</li> </ul> <h4>Essential Skills</h4> <ul> <li>Master's degree in Robotics, Computer Science, Artificial Intelligence, Machine Learning, or a related field — or equivalent practical experience</li> <li>Minimum of four years of professional experience in machine learning, AI for robotics, or computer vision</li> <li>Hands-on experience working with real robots — robot arms, mobile manipulators, grippers, cameras, and sensors — not only in simulation</li> <li>Proven experience with end-to-end learned models for robotics (e.g., VLAs, diffusion policies, imitation or reinforcement learning policies), covering training, fine-tuning, and deployment</li> <li>Strong programming skills in both Python and C++</li> <li>Solid command of machine learning frameworks (e.g., PyTorch, TensorFlow) and the full model lifecycle: data curation, training, evaluation, and deployment</li> <li>Experience with modern computer vision models such as YOLO, SAM, vision transformers, and self-supervised backbones (e.g., DINOv2, CLIP)</li> <li>Experience with learned grasp generation for manipulation (e.g., GraspNet, Dex-Net, or comparable approaches)</li> <li>Good understanding of robot (inverse) kinematics, coordinate transformations, and hand-eye calibration</li> <li>E

Skills