As a Working Student, you will support our team in developing cutting-edge solutions that combine Large Language Model (LLM) applications with automation and data management tasks. You will work at the intersection of AI-driven software development, data analysis, and automation, contributing to real-world projects and gaining hands-on experience with modern tools and technologies., * LLM Application Development : Assist in designing and developing applications utilizing Large Language Models (LLMs). Implement, test, and refine Python scripts to integrate LLMs into various software development workflows

• Experience Research : Conduct research on the latest advancements in LLMs and explore potential applications in software development
• Performance Optimization : Optimize LLM performance and ensure efficient integration with existing systems
• A utomation Solutions & Data Analysis : Develop, test, and document automation solutions using Python and relevant libraries. Analyze different data sources to extract insights and identify opportunities for process improvement
• Data Visualization & Reporting: Visualize data using tools such as Tableau. Create, update, and maintain management reports
• Documentation & Communication : Document development steps, challenges, and solutions. Prepare detailed reports and presentations to showcase findings, progress, and outcomes
• Collaboration & Support : Work closely with the software development team to understand needs and provide LLM-based or automated solutions. Provide support and troubleshooting for related issues, * Working part-time : The focus is on studies. Therefore, working student is possible during the lecture period with a maximum of 20 hours per week.
• Proper students (according to the German law) are welcome : You must be enrolled and the examination results or modules of your studies must not have been completed yet, so that you can still work in our team for at least 1 year. You must also not be in a semester of leave.
• You should live close to the site : It is important for us to work with you on site and to integrate you into the team. You should therefore be able to come to the site regularly.

Contact: Katharina Wewer

#WeAreIn for driving decarbonization and digitalization. As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener. Are you in?

Do you have experience in XML?, Do you have a Master's degree?, * Study Field : Currently studying Computer Science, Electrical Engineering, (Business) Informatics, Business Administration with a focus on Computer Science, or a similar subject - ideally with exposure to Artificial Intelligence

• Technical Skills:

• Proficiency in Python programming
• Basic understanding of LLMs and their applications
• Experience or willingness to learn web-based development (Flask, HTML, XML)
• Knowledge of automation tools and data visualization platforms (e.g., Tableau)
• Experience working with AI-powered coding assistants/agents such as GitHub Copilot or similar tools

• Tool Experience : Familiarity with or willingness to learn tools such as Jira, Jama, Jenkins, GitLab, etc.
• Way of work : Ability to write clean, efficient, and well-documented code. Self-motivated and able to work independently as well as in teams.
• Interests & Mindset : Passionate about artificial intelligence, automation, and their application in improving workflows. Strong analytical and problem-solving skills.
• Languages : Very good English skills (written and spoken); German skills beneficial but not mandatory

What We Offer

• Hands-on experience in combining AI and automation techniques in practical applications
• A collaborative and supportive team environment
• Opportunities to work on innovative projects with real impact
• Flexible working hours to match your academic schedule

Please attach the following documents to your application:

• CV in English
• Certificate of enrollment at university
• Latest grades transcript (not older than 6 months)
• High school report

Pulled from the full job description

• Flexible schedule

Full job description

#WeAreIn to create tiny chips and big careers.

Are you ready to take the first step in your career? Let's shape the future together!

Whether you join as a student, intern, or trainee, you'll be part of something real - real projects, real impact, and real opportunities to grow.

Are you in?

Ingenious Technologies is a leading independent marketing technology provider. With the cloud-based Ingenious Enterprise platform, companies across all industries can aggregate, structure, enrich and analyse all marketing data collected. Thanks to real-time processing and a high level of automation, reliable data sets are available for clients to make agile marketing decisions.