Working Student (f/m/d) for AI Assistants & Generative AI in Electrical Engineering Development

Siemens AG · Regensburg · 15 to 20 hours a week

WerkstudentGerman needed: fluent

Still open on 11 Nov

You apply on the company's own website.

Key facts

You support our development engineers in identifying and conceptualizing practical AI and automation use cases for the R&D daily routine
Subsequently, you participate in the prototypical implementation of intelligent AI assistants, autonomous workflows, and agents using modern development frameworks such as Python, APIs, or our enterprise platform SiemensGPT
Building on this, you evaluate and test new approaches such as RAG, tool calling, or automated data analyses and continuously improve existing applications
Within the scope of your activity, you gain exciting insights into our development processes and can directly transfer your theoretical knowledge into practice in the lab
Finally, you investigate how AI can specifically support and make our development work more efficient

Education: You are currently successfully studying electrical engineering, computer engineering, mechatronics, or a comparable engineering degree program
Experience and knowledge: Ideally you already have practical experience with generative AI, large language models (LLMs), prompt engineering, and modern concepts such as AI agents, RAG, or tool integration
First contact with enterprise AI solutions (such as SiemensGPT or Microsoft 365 Copilot) is a plus
Knowledge of Python, data preparation, APIs, or automation is an advantage
Work style: You work in a structured manner, learn quickly, and convince with teamwork skills
Language skills: Very good German and good English skills in writing and speaking

At Siemens, we are convinced: Those who feel valued and belonging can fully develop their potential. That is why we create an inclusive work environment in which every person experiences a sense of belonging and in which individual perspectives and experiences are appreciated. Our commitment to fairness and respect applies to all applicants. We value equal opportunity and welcome applications from people with diverse backgrounds, expressly including people with disabilities.
Become part of our Working Student Network – a community that offers you exchange, support, and valuable contacts at Siemens.

You support our development engineers in identifying and conceptualizing practical AI and automation use cases for the R&D daily routine
Subsequently, you participate in the prototypical implementation of intelligent AI assistants, autonomous workflows, and agents using modern development frameworks such as Python, APIs, or our enterprise platform SiemensGPT
Building on this, you evaluate and test new approaches such as RAG, tool calling, or automated data analyses and continuously improve existing applications
Within the scope of your activity, you gain exciting insights into our development processes and can directly transfer your theoretical knowledge into practice in the lab
Finally, you investigate how AI can specifically support and make our development work more efficient

Education: You are currently successfully studying electrical engineering, computer engineering, mechatronics, or a comparable engineering degree program
Experience and knowledge: Ideally you already have practical experience with generative AI, large language models (LLMs), prompt engineering, and modern concepts such as AI agents, RAG, or tool integration
First contact with enterprise AI solutions (such as SiemensGPT or Microsoft 365 Copilot) is a plus
Knowledge of Python, data preparation, APIs, or automation is an advantage
Work style: You work in a structured manner, learn quickly, and convince with teamwork skills
Language skills: Very good German and good English skills in writing and speaking

At Siemens, we are convinced: Those who feel valued and belonging can fully develop their potential. That is why we create an inclusive work environment in which every person experiences a sense of belonging and in which individual perspectives and experiences are appreciated. Our commitment to fairness and respect applies to all applicants. We value equal opportunity and welcome applications from people with diverse backgrounds, expressly including people with disabilities.
Become part of our Working Student Network – a community that offers you exchange, support, and valuable contacts at Siemens.