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!