If you want to gain practical experience in the field of Generative AI alongside your studies, we have the right position for you! As a working student, you will work together with an interdisciplinary team on the development, integration, and further development of GenAI applications - from data preparation to intelligent pipelines and productive use in departments.
Your tasks will include:
- Working together with colleagues to implement GenAI use cases (e.g. chat and assistant systems, RAG, document analysis or agent workflows).
- Supporting the end-to-end implementation of GenAI applications - from data and indexing preparation to embeddings and delivery to departments.
- As part of the team, you will contribute to the development and optimization of GenAI pipelines (ingestion, retrieval, prompting, context construction, post-processing) and also participate in quality assurance.
- You will support tasks related to the integration of GenAI functions into existing data and analytics environments as well as the connection to APIs and services.
- Your help will be needed for the conception and implementation of evaluation and monitoring approaches for GenAI (e.g. testing answers, developing quality metrics, logging and drift monitoring).
- Participation in solutions for on-premise, hybrid, and cloud setups for GenAI (e.g. vector data storage, data access, and deployment) is another important aspect of your role.
Your profile should include:
- Active study with a focus on software engineering, computer science, informatics, telecommunications, mathematics, statistics, or similar.
- Python knowledge and ideally experience with data/ML-related code (e.g. data preparation, embeddings, retrieval, evaluation).
- First contacts with the integration of GenAI components (e.g. API/service connections, indexing, vector storage, result provision).
- Interest in quality assurance and evaluation of GenAI results (e.g. testing, metrics, logging, and monitoring).
- Basic knowledge of data science methods.
- Very good English skills in writing and speaking.
We offer:
- The opportunity to get to know the whole diversity of AVL and work together on the future of mobility.
- Flexible working hours (adapted to the lecture schedule) are self-evident and home office is possible at your request.
- You can also participate in internal further education measures.
- Daily varying offers in our company canteen can be used by you.
- Our location has various public transportation options and you will receive a subsidy for using public transportation.
- Various health, sports, and cultural offers round off our package.
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