Posted 2d ago

Working student (Job Category)

@ Mercedes-Benz Group
Stuttgart, Baden-Württemberg, Germany
OnsiteInternship, Part Time
Responsibilities:design embedding, develop processes, populate databases
Requirements Summary:Bachelor's or Master's in Computer Science, AI, Data Science or related field; Python and SQL experience; knowledge of AI/ML tools and RAG systems; English required; German a plus.
Technical Tools Mentioned:Python, SQL, LangChain, MLflow, Databricks, Microsoft AI Foundry
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Job Description

We are looking for a dedicated AI Engineer who will play a significant role in shaping and optimizing our chatbot. You will play a key role in developing intelligent data management solutions and advanced Conversational AI systems. Gain valuable practical experience with us in product data management and get many insights into state-of-the-art technologies!

 

These challenges await you:

  • Design, implement, and manage document embedding storage solutions
  • Develop and optimize processes for efficient information extraction from documents, including handling complex nested structures, to create 
  • and populate databases for our advanced chatbot applications
  • Contribute to the development and deployment of RAG-systems, leveraging tools like LangChain to orchestrate complex AI workflows and ensure accurate, contextually relevant responses
  • Explore, implement, and contribute to multi-agent frameworks for building sophisticated AI applications
  • Utilize Databricks and Microsoft AI Foundry for data processing, model training, deployment and AI workflows
  • Employ MLflow for experiment tracking, model management, and reproducible machine learning development
  • Write clean, efficient, and well-documented code primarily in Python and SQL

     

 

The position can start from June 2026.


  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a comparable field of study
  • Good programming skills in Python, including experience with relevant AI/ML libraries
  • Experience in SQL for effective database management
  • Experience with RAG systems, including concepts such as embedding generation, vector databases, and retrieval capabilities
  • Experience with LangChain for building LLM-powered applications
  • Experience with MLflow for managing the ML lifecycle
  • Knowledge of multi-agent frameworks and their application in developing autonomous and collaborative AI systems
  • Knowledge of document embedding techniques and information retrieval methods
  • Experience or a good theoretical understanding of the Databricks platform and Microsoft AI Foundry for data engineering and ML is a plus
  • Proactive and curious mindset
  • Ability to work effectively in a team
  • English is mandatory, German is a plus

 

Additional Information:

We look forward to receiving your online application, including a resume, cover letter, certificates, current certificate of enrollment stating your semester, and proof of the standard period of study. Please remember to mark your documents as "relevant for this application" in the online form and observe the maximum file size of 5 MB.

You can find further information on the hiring criteria here.

Severely disabled applicants and applicants with equivalent status are welcome! The representative for severely disabled employees ([email protected]) will gladly support you in the application process.

HR Services will be happy to help you with any questions you may have about the application process. You can reach us by email at [email protected] or by phone at 0711/17-99000 (Mon-Fri 10am-12pm & 1pm-3pm).