Intern in the field of GraphRAG-based AI… at Airbus · Germany

Intern in the field of GraphRAG-based AI Assistants (d/f/m) Location: Stade Job Description: In order to support the the innovation field of Digital Processes and Platforms, the CTC GmbH is looking for an Intern in the field of GraphRAG-based AI Assistants (d/f/m) Are you looking for an internship and want to get to know the work of a R&D Engineer (d/f/m) for Digital Manufacturing Solutions?  Then apply now! We look forward to you supporting us in the Digital Processes and Platforms department as an intern (d/f/m)! Location: Stade Start: 01.07.2026 Duration: 3-6 months Your location You work at the Stade location. Experience the special flair south of the Elbe in your free time, close to the cosmopolitan culture of Hamburg. Your benefits A final thesis is possible after consultation 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 Analyze the existing GraphRAG (Retrieval-Augmented Generation) architecture to identify latency bottlenecks, specifically focusing on the efficiency and frequency of local LLM calls. Research state-of-the-art LLM optimization techniques, including model selection and quantization, prompt chaining, and local instance acceleration. Design and implement a performance-enhanced LLM pipeline that significantly reduces inference time for real-time shop floor (assembly operations) applications. Develop automated testing pipelines to conduct comprehensive latency studies and benchmark the new concept against the legacy workflow. Optional: Conduct usability and evaluation studies to ensure the improved response times meet the practical needs of hands-free, worker-led assembly processes. Desired skills and qualifications Enrolled full-time student (d/f/m) in the area of Computer Science, Data Science, Engineering with a strong focus on IT and software development or an equivalent field of study. First practical experience in the field of Large Language Models (LLMs), Natural Language Processing (NLP), or general AI development is desirable. Fluent in English, German is a plus. Proficiency in Python programming and hands-on experience with modern machine learning frameworks (e.g., PyTorch, LangChain, or Hugging Face). Familiarity with Graph Databases, especially neo4j, (for GraphRAG) or speech processing technologies (STT/TTS) is a plus. 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: CTC GmbH Employment Type: Internship ------- 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.