We are offering a student internship / master thesis / student worker position (f/m/d) to enhance our capability to perform research in the area of Artificial Intelligence applications.
You will be involved in the design, development and implementation of a reference software stack for Large Language Models and tools. In this position you will be able to sharpen your profile in the development of real-world applications and learn to work in an open development team. Please note, that in order to be taken into consideration for this role you need to be enrolled in a study program.
Please note that the student needs to be enrolled for the full duration of the student employment.
You will be working on
programming tasks around Large Language Model orchestration software and tools
a framework to automate the interaction with one or multiple Large Language Models including prompt engineering
an interface to retrieve internal documents from a ticketing system
Integrate internal documents to customize existing models
a web interface to interact with the orchestration framework in form of a guided dialogue
configuration tasks for underlying Linux servers hosting the LLM and the orchestration framework
Required
Bachelor or Master student in computer science electrical engineering or similar field
General good understanding of AI models and their programming using pytorch
First experience with GenAI models especially Large Language Models
Good programming skills especially in Python
Experiences with Unix/Linux
Language fluent in English German is a plus
Advantageous
Understanding of Transformer type Neural Networks (NN)
Preparing data sets for NN training
Prompt engineering
Finetuning and RAG methods for LLM customization
Langchain framework
Experience with Jira or other ticketing systems
Experience with requirements management or quality management
Work Model for this Role
This role will require an on-site presence.