Founded in 2008, BMG reimagined the relationship between music companies, songwriters, and artists by offering fairer contracts, greater creative freedom, and unparalleled transparency in royalties and licensing. Now the fourth-largest music company in the world, BMG combines human creativity with cutting-edge technology to connect music with global audiences.
We are looking for a Platform Engineer (f/m/d) to join our team and lead the development of AI-driven agentic systems that autonomously enhance decision-making, automation, and workflow optimization. In this role, you will play a pivotal part in designing and building intelligent agentic solutions capable of operating independently within business processes, driving efficiency, and enabling smart, data-informed decision-making.
You are passionate about AI, automation, and creating autonomous systems that drive real business value? Join us and help transform how businesses make decisions and optimize workflows with agentic intelligence!

• Design and develop AI-powered agentic systems that enable automation and autonomous decision-making, driving business process optimization
• Collaborate with data scientists and software engineers to enhance agentic behavior by integrating advanced machine learning models and continuously refining agent performance
• Optimize agentic system architectures to ensure they are scalable, adaptable, and robust, supporting high-performance and seamless integration within business processes
• Ensure smooth communication between AI agents and other automation components, facilitating interoperability across systems
• Monitor and analyze the performance of AI-driven agentic systems, identifying opportunities for improvement and implementing continuous optimization
• Stay current with the latest advancements in AI agents, reinforcement learning, and multi-agent systems, applying cutting-edge innovations to improve agent capabilities
• Develop and implement comprehensive testing strategies for agentic systems, ensuring reliability, accuracy, and robustness before deployment