In the Powertrain Software Development department for Mercedes-Benz vehicles, our task is to exceed the highest standards of comfort and dynamics while achieving the lowest possible energy consumption. We are looking for a motivated and committed student to take a lead role in developing an innovative AI-powered chatbot to improve internal knowledge sharing and streamline workflows within our department.

This chatbot, in a first prototype phase, uses Large Language Models (LLMs), integrates with various internal systems, and leverages Retrieval-Augmented Generation (RAG) to provide fast information to our employees. We are seeking a motivated and talented intern to help us evolve this tool and enhance its capabilities.

These challenges await you:

• Collaborate with the user team to enhance the functionality and performance of our AI chatbot

• Evaluate different LLM agent frameworks to optimize development and functionality

• Integrate new internal knowledge sources and refine the RAG pipeline to improve the chatbot's knowledge base

• Develop and implement user feedback mechanisms to continuously improve the chatbot's performance and user experience

• Research and implement advanced agentic capabilities

• Focus on developing the chatbot for specific internal use cases

• Optimize the chatbot's performance, reducing response times and minimizing resource consumption

• Identify and address any limitations of the current system

• Deploy the chatbot to an online environment

• Create documentation and training materials to help employees use the chatbot effectively

• Conduct thorough testing and evaluation to ensure the chatbot meets user needs and performs reliably

• Stay up-to-date with the latest advancements in LLMs, AI agents, and related technologies

• Exchange with AI experts within Mercedes-Benz company

The activity can begin from January 2026

• Studies in the field of Computer Science, Artificial Intelligence, or a comparable course

• Strong programming skills in Python

• Experience with Large Language Models (LLMs) and related technologies

• Knowledge of Retrieval-Augmented Generation (RAG) pipelines, Agents, and MCP protocol

• Knowledge of Docker and containerization practices

• Excellent problem-solving and analytical skills

• Strong communication and collaboration skills

• Ability to work independently and as part of a team

• Passion for AI and its potential to transform businesses

• Desired experience with LLM agent frameworks (e.g., LangChain, AutoGen, LangGraph), vector databases, embedding models, cloud computing platforms (e.g., AWS, Azure, GCP) and contributions to open-source AI projects

Additional Information:

We look forward to receiving your online application, including a resume, cover letter, certificates, current certificate of enrollment stating your semester, proof of mandatory internship if applicable, 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 (SBV-Sindelfingen@mercedes-benz.com) 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 myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mon-Fri 10am-12pm & 1pm-3pm).