Senior Applied AI Engineer

Skip to main content English Back to all jobs Senior Applied AI Engineer (m/f/d) Germany, Munich (HQ) Full-time Permanent employee Apply for this job About the role 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. Your Responsibilities Design, develop, and maintain AI-driven software applications (including Vision Language Action Models (VLAs)) for robotic systems, ensuring high performance and reliability Collaborate with hardware engineers, system architects, and other software engineers to integrate AI applications with robotic hardware Write clean, maintainable, and well-documented code following best practices and industry standards Test and validate AI applications in real-world environments, ensuring they meet performance and safety requirements Provide technical support and guidance to other team members and stakeholders Stay updated with the latest advancements in AI and robotics, and integrate relevant innovations into the development process Essential Skills Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field At least 5 years experience working with real robotic hardware and AI applications in industrial environments Strong understanding of multimodal learning concepts (e.g. vision-language-action), including model architectures, training paradigms, and advantages/limitations 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). Proficiency in programming languages such as C++ and Python Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment Excellent communication skills, both written and verbal Beneficial Skills Familiarity with ROS Experience with simulation tools such as Mujoco, Nvidia Isaac-Sim, or similar Familiarity with hardware interfacing and real-time operating systems Knowledge of software development tools and practices, including version control systems (e.g., Git), continuous integration, and Agile methodologies What we offer A dynamic high-tech company combined with financial soundness and world-class investors. Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment. Lots of development opportunities in the context of our continued growth. Challenging tasks and impactful projects alongside experts that enable professional and personal growth. Corporate Benefits Program that covers health, mobility, and learning with 100€ net per month. Modern office facilities with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment. About us Agile Robots SE is an international high-tech company based in Munich, Germany with a production site in Kaufbeuren and more than 2300 employees worldwide. Our mission is to bridge the gap between artificial intelligence and robotics by developing systems that combine state-of-the-art force-moment-sensing and world-leading image-processing technology. This unique combination of technologies allows us to provide user-friendly and affordable robotic solutions that enable intelligent precision assembly. This is made possible by our employees, who bring out the best in each and every day with creativity and enthusiasm. Become part of this team and shape the future of robotics with us! We are proud of our diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age, or disability. Apply for this job Powered by Personio Data privacy statement Legal Notice