Working Student - Generative Artificial Intelligence (d/m/f)

Job Description:

In order to support Advanced Analytics and Artificial Intelligence Team, Airbus Operations is looking for a

Working Student - Generative Artificial Intelligence (d/f/m)

You are a full time student, looking for a working student position and want to get to know the work in generative artificial intelligence?  Then apply now! We look forward to you supporting us in Advanced Analytics and Artificial Intelligence  as a working student (d/f/m) with approx. 18 hours a week! 

• Location: Hamburg

• Start: 01.06.2026

• Duration:  12 months

We are the central Artificial Intelligence & Advanced Analytics team in Airbus for commercial aircraft and our mission to democratize AI in Airbus. We further deliver business impact through AI products and services across the entire value chain all the way from selling, designing, procuring, manufacturing to servicing aircraft. As such, we are responsible for solving all aspects and challenges of the machine learning (ML) product lifecycle, including problem exploration, solution development and deployment into cloud native environments at scale.

As part of our team you will work, learn and grow among an international and diverse group of talented data scientists, software engineers, product managers and many more based across Europe and India. With truly vast amounts of data from across the Airbus ecosystem at disposal paired with an unparalleled product complexity, we are exposed to unique and exciting challenges, working at the forefront of AI in the aviation industry. 

You will receive a collectively agreed salary of at least €18.53 per hour, depending on the job. There are also special payments such as vacation pay.

Definition working student
Working students are students who are enrolled at a University or some other institution of higher education, and who are employed in a reasonably long, fixed-term position parallel to their studies. This position must not be confused with an internship or with the possibility of writing a final thesis.
This employment usually takes place directly on the company's premises. A working student's main focus remains on their studies, which is why, during term-time, working students are not allowed to work more than 20 hours per week.
Working students therefore usually work near their place of study, so as to conveniently combine studying and employment.

Your location:  Hamburg Finkenwerder 

You will be working at the largest production site for civil aircraft situated in Hamburg. Its location on the southern banks of the river Elbe includes the option to commute by ferry. Experience the special flair of Hamburg in your spare time where vibrant cosmopolitan culture meets nautic legacy.
Are you wondering how you actually get from university to Airbus? Your working student position is at the Finkenwerder plant and you can take the ferry from Teufelsbrück to the Airbus ferry terminal and back to the university in the morning and at noon. Alternatively, you can take the ferry to Finkenwerder and then ride your bike for about another 15 minutes to the main entrance. 

Your benefits

• Attractive salary and work-life balance with an 18-hour week (flexitime).

• A final thesis is possible after consultation with the department.

• Mobile working after agreement with the department.

• International environment with the opportunity to network globally.

• Work with modern/diversified technologies.

• At Airbus, we see you as a valuable team member and you are not hired to brew coffee, instead you are in close contact with the interfaces and are part of our weekly team meetings.

• Opportunity to participate in the Generation Airbus Community to expand your own network.

Your tasks and responsibilities

• Contribution to the conceptual design and implementation of templates, best practices and documentation around GenAI applications (in particular agentic AI), data processing, MLOps and AgentOps.

• Improving and maintaining existing internal libraries, refactoring and abstracting components to improve reusability and testability.

• Developing and enhancing command-line tools and installers to simplify the developer setup process.

• Writing clear, concise, and comprehensive documentation, including how-to guides, tutorials, and architectural overviews.

• Addressing bugs and feature requests related to the developer toolchain, support of a large community of GenAI Platform users.

• Engagement in the global AI and Analytics Community at Airbus, such as holding project showcases and sharing expertise and best practices across the whole lifecycle of GenAI applications.

Desired skills and qualifications

• Enrolled full time Student (d/f/m) in Computer Science, Data Science or similar study fields.

• Fundamental understanding of Machine Learning and Deep Learning techniques, especially pertaining to Generative AI.

• Very good Python coding skills, experience with full-stack development using FastAPI.

• Familiarity with agentic AI frameworks like ADK, Langchain, or similar; previous experience with building Generative AI applications with commonly used LLMs (Gemini, ChatGPT, Claude models etc.)

• Interest and curiosity in working with cloud technologies, such as Google Cloud Platform (GCP) or Amazon Web Services (AWS).

• Interest in the topics of AI safety and ethics. 

• Fluent in written and spoken English.

Please upload the following documents: cover letter, CV, relevant transcripts, enrollment certificate. 

Not a 100% match? No worries! Airbus supports your personal growth.

Take your career to a new level and apply online now!

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Company:

Airbus Operations GmbH

Employment Type:

GE - Werkstudent

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Experience Level:

Student

Job Family:

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com.

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.