Intern, AI & Machine Learning - AI Chatbot Development

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Job ID: MER0003V3S In the Powertrain Software Development department for Mercedes-Benz vehicles, our task is to exceed the highest standards of comfort and dynamics while obtaining 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 provide, in a first prototype phase, uses Large Language Models (LLMs), integrates with various internal systems, and leverages Retrieval-Augmented Generation (RAG) to almost information to our employees. We are seeking a motivated and talented internal 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 enhance the chatbot's performance and experience

Research and implementation 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 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 balancing

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 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 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, 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).

Meal discount Mobile Phone for Employees Possible Discounts for Employees Possible Annual Profit Share Possible Events for Employees Coaching Flextime possible Hybrid Work Possible Health Benefits Company Retirement Mobility Offers Canteen, Café Inhouse Doctor Near-Site Childcare Parking Good Public Transport Barrier-Free Workplace