Senior Applied AI Engineer (m/f/d)

<div class="TranslationField-module__fieldItem___g4pRX"> <h3 class="TokenisedTypography-module__EzGiEkH0__v6-3-8 TranslationField-module__fieldItemName___Q0F_7">About the role</h3> <div>As a Senior Applied AI Engineer (Intelligent Application Focus) at Agile Robots SE, you will design, build, and deploy AI solutions that enable our robotic systems to solve real-world problems. The role requires industry experience and deep technical expertise to apply novel machine learning and AI techniques under real-world constraints. The focus is on delivering impactful, reliable AI systems that demonstrate measurable value in practical, industrial environments.</div> </div> <div class="TranslationField-module__fieldItem___g4pRX"> <h3 class="TokenisedTypography-module__EzGiEkH0__v6-3-8 TranslationField-module__fieldItemName___Q0F_7">Your Responsibilities</h3> <ul> <li>Design, develop, and maintain AI-driven software applications (including Vision Language Action Models (VLAs)) for robotic systems, ensuring high performance and reliability</li> <li>Collaborate with hardware engineers, system architects, and other software engineers to integrate AI applications with robotic hardware</li> <li>Write clean, maintainable, and well-documented code following best practices and industry standards</li> <li>Test and validate AI applications in real-world environments, ensuring they meet performance and safety requirements</li> <li>Provide technical support and guidance to other team members and stakeholders</li> <li>Stay updated with the latest advancements in AI and robotics, and integrate relevant innovations into the development process</li> </ul> </div> <div class="TranslationField-module__fieldItem___g4pRX"> <h3 class="TokenisedTypography-module__EzGiEkH0__v6-3-8 TranslationField-module__fieldItemName___Q0F_7">Essential Skills</h3> <ul> <li>Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field</li> <li>At least 5 years experience working with real robotic hardware and AI applications in industrial environments</li> <li>Strong understanding of multimodal learning concepts&nbsp;(e.g. vision-language-action), including model architectures, training paradigms, and advantages/limitations</li> <li>Strong foundation in machine learning and deep learning, with hands-on experience deploying AI models in industrial or real-world use cases (e.g., reinforcement learning or world models).</li> <li>Proficiency in programming languages such as C++ and Python</li> <li>Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment</li> <li>Excellent communication skills, both written