Job Description
Life is always about becoming… Becoming means going on a journey to be the best version of our future selves. While we discover new things, we will face challenges, master them and grow beyond our individual limits.Apply for a job at Mercedes-Benz and find your individual role and workspace to unleash your talents to the fullest. Empowered by visionary colleagues who share the same pioneering spirit. Joining us means becoming part of a global team that aims to build the most desirable cars in the world. Together for excellence.
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 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 ([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).
- Meal-Discounts
- 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