WAFIOS Aktiengesellschaft | Germany | 72xxx Reutlingen | Full time | Published since: 03.06.2026 on stepstone.de
Bachelor's Thesis/Master's Thesis - Development of an Efficient Knowledge Architecture for AI Systems through Modular and Context-Dependent Document Structures
WAFIOS is one of the world's leading companies in special machine construction. We develop, design and manufacture technically sophisticated machines for wire and pipe processing and cold-massive forming. With our machines, our customers produce for the most diverse industrial and living areas. In the field of e-mobility, our machines are also an important part of the implementation of technology change. We employ around 1,000 employees in a modern world of work with a lot of freedom for creativity and personal development.
To further expand our activities in the field of digital services, we are looking for a motivated personality (m/w/d) for the winter semester 2026/27!
Artificial intelligence is becoming increasingly important in the processing of technical documentation and knowledge databases. In particular, modern AI assistants and retrieval augmented generation (RAG) systems use large quantities of documents to provide users with precise information. In practice, however, technical documentation often contains many identical or similar contents, while only certain sections are product-specific or customer-specific. This leads to redundant data stocks, increased storage requirements and an inefficient retrieval within AI systems. .
* After clicking the Read more button, the original advert will open on our partner's website, where you can see the details of this vacancy and contact information. If you need a translation of this text, after returning to our website it will be prepared and you can read it by clicking the Show full translation button.
Your tasks • Your profile • What we offer
The aim of this work is to develop a concept for the separation and reuse of common knowledge components while using individual information at the same time. The aim is to investigate how redundant content can be efficiently managed and provided in context-dependent manner for specific applications.
In particular, the work looks at approaches in the fields: Retrieval-Augmented Generation (RAG) Vector databases Semantic search Context-based retrieval Based on these technologies, a scalable knowledge architecture is to be developed and evaluated, which reduces storage requirements, improves wartability and at the same time enables precise AI-generated answers.
Study of Computer Science, Data Science or a comparable course Programming experience Basic knowledge of the handling of database systems Interest in artificial intelligence, knowledge management and modern search technologies Self-employed and structured work Analytical thinking skills and joy in working on innovative topics
Working on a pioneering AI theme with direct practical reference Insights into modern technologies around AI, RAG systems and knowledge management Department of Digital Services Flexible work design and independent work Possibility to introduce the results into future AI solutions at WAFIOS
Location
 | WAFIOS Aktiengesellschaft | |
| 72764 Reutlingen | ||
| Germany |
The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.
For more information read the original ad