What you should bring

You want to work with us as a working student for at least 6 more months and plan to work 16-20 hours per week.

Motivation & Attitude

• Enjoyment of new challenges

• A good dose of initiative

• Solution and team-oriented thinking and action 

• Willingness to learn new technologies & tools

Technical Skills

• Study of computer science (or a similar field) or simply a lot of experience through side projects

• Advanced programming skills in Python and practical experience with NLP tools or data science technologies

• Practical experience in building NLP applications, information retrieval systems, or question-answer pipelines

• Good understanding of concepts, architectures, and evaluation metrics of retrieval-augmented generation

• Experience with one or more LLM/RAG frameworks such as LangChain, LlamaIndex, or Semantic Kernel

• Experience in collecting, cleaning, and structuring unstructured text data from various sources

• Good communication skills to collaborate effectively with technical and non-technical stakeholders

Your Tasks with Us

As a GenAI Solution Engineer, you will be part of our meinGPT team. There, you will be responsible for developing state-of-the-art question-answer pipelines - for the entire process from data extraction/processing to validating the results.

• Gather and prepare data from various sources such as SharePoint, databases, APIs, and websites to build customized knowledge bases.

• Implement LLM pipelines using frameworks like LangChain or LLamaIndex to enable chatbots to access and utilize the knowledge bases for generating informative responses (RAG).

• Design and develop end-to-end conversational AI systems that leverage fine-tuning, RAG, and prompt engineering to provide accurate, relevant, and contextual responses to user inquiries.

• Establish testing and validation workflows for RAG systems to ensure high accuracy of the generated responses.

• Continuously monitor, analyze, and improve the performance of RAG models in production environments.

• Research and keep track of the latest developments in the fields of RAG and conversational AI to introduce new capabilities and enhance the chatbot user experience.

• If desired: Communicate directly with our clients about their requirements and wishes - and ensure that we are building the right things.
  
  

Your Salary

We have a transparent salary model, meaning we have defined objective and visible criteria based on which your salary is calculated. With our interactive salary calculator, you can determine a rough estimate of your salary with us in advance.

What's next?

More information about our application process can be found here.

Your Benefits with Us: