Darum lohnt es sich
Orchestrate agent-based systems Design, build and manage AI agents and their interactions within complex system landscapes Design use cases and architectures Identify meaningful areas of application and develop scalable architectural approaches Transition prototypes into production Turn ideas and PoCs into productive, stable solutions Optimize DevOps & workflows Use AI to improve development processes, CI/CD, GitOps and operational procedures Hands-on technical work Develop and integrate modern AI solutions (LLMs, RAG systems, agent architectures) Further develop own framework Work with and expand an existing internal framework for AI-supported development and automation Ensure quality and compliance Consider regulatory requirements, traceability and security, testing Qualifications Strong background in architecture and engineering Several years of experience in software architecture, complex system landscapes (DevOps) and modern development processes Experience with AI development Practical experience building and deploying AI systems, especially LLMs and agent-based approaches Know-how in agent orchestration Understanding of multi-agent systems, workflows and their integration into existing systems Experience with modern DevOps practices Knowledge of CI/CD, GitOps and automated development processes Hands-on mentality Ability to implement concepts independently and bring them into production Analytical and structured thinking Strong communication skills Experience in regulated environments (advantageous) Understanding of requirements in financial or safety-critical contexts Experience with Scrum is a plus Very good German and very good English skills. #J-18808-Ljbffr Responsibilities Establish AI in engineering Further develop AI across the entire software stack with a strong focus on innovation, practical implementation, scalability and sustainable integration.
