AI Engineering Automation Intern (f/m/div.)

In this role, you will:   • Develop AI-powered engineering assistants: Build chatbots that help hardware and mechanical engineers create and improve Python scripts for automation and data analysis.  • Build AI coding companions: Develop AI agents that support firmware developers throughout the software development lifecycle, from code understanding and implementation to debugging, documentation, and test generation.  • Automate engineering workflows: Connect LLMs, Python scripts, APIs, and tools such as n8n to streamline engineering processes.  • Explore AI technologies: Experiment with LLMs, prompt engineering, tool calling, and AI agents to develop solutions tailored to engineering needs.  • Integrate engineering knowledge: Leverage technical documentation and software repositories to provide context-aware assistance.  • Validate and improve solutions: Test prototypes with engineers, evaluate their effectiveness, and refine them into reliable, practical tools.  What distinguishes you?   Education   • Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field.  Experience   • Academic or personal projects involving programming, AI, software development, or automation.  • Practical experience is welcome, but professional experience is not required.  Know-how   • Basic Python programming skills and understanding of software development fundamentals.  • Interest in Generative AI, LLMs, AI agents, and AI-assisted software development.  • Familiarity with APIs, Git, n8n, and AI development tools is an advantage.  • Interest in embedded software development is a plus.  Languages   • Good written and spoken English skills for collaboration in an international engineering environment.  Working Style and Methods   • Analytical and structured approach to problem-solving.  • Willingness to experiment with new technologies and turn ideas into practical solutions.  • Ability to understand user needs and translate them into useful tools.  Personality   • Curious, proactive, and enthusiastic about the practical applications of AI.  • Hands-on, creative, and open to learning.  • Collaborative and comfortable working with colleagues from different engineering disciplines.  What you can expect to learn   • How to apply Generative AI and AI agents to real-world engineering and firmware development challenges.  • How to build AI-powered assistants and automate workflows using LLMs, Python, APIs, and tools such as n8n.  • How to integrate AI into software development and empower engineers across different disciplines through intelligent tools.  • How to evaluate, improve, and turn AI prototypes into reliable solutions used by an engineering team.  Success stories don´t just happen. They are made... Make it happen! We are looking forward to your application!