Job
- Level
- Junior
- Location
- Sindelfingen
- Working Model
- Hybrid, Onsite
- Job Field
- Data
- Employment Type
- Part Time
- Contract Type
- Internship / school internship
Job Summary
In this role, you will develop AI agents to support production planning and collaborate with international teams to create intelligent solutions for reducing complexity in vehicle projects.
Job Technologies
Your role in the team
- Are you looking for an exciting challenge in the development and deployment of AI agents? Do you want to gain exclusive insights into the early stages of product development for our future vehicles and actively shape the strategic direction of complexity management at Mercedes-Benz Cars? Then you are exactly right with us!
- Our team is responsible for complexity management across all locations and product lines as part of the cross-functional executive board project "Complexity Reduction." Together with our business partners from logistics, production, product strategy, development, sales, procurement, and after-sales, we are working to sustainably reduce complexity in the global production network.
- At the core of our mission is the integration of cutting-edge AI agent systems that intelligently support and optimize our daily operations.
- You will be fully integrated into the international project organization and gain in-depth insights into production planning, manufacturing processes, and the design of future vehicle projects optimized for production.
- Participation in the international project team with the opportunity to actively influence the vehicles of tomorrow through production-ready product design.
- Participation in the AI agent project using technologies such as Model Context Protocol (MCP) and Agent-to-Agent Communication (A2A).
- Development and enhancement of context information for AI agents to support intelligent decision-making in complex scenarios.
- Deep insights into the product development process, particularly in the areas of supply chain planning, product strategy, development, production planning, procurement, and sales.
- Execution of special projects - potential areas of focus based on individual interests.
- Working in an open team culture with a "Modern Workspace" environment and a high degree of personal responsibility.
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Our expectations of you
Education
- Degree in Artificial Intelligence, Computer Science, or a comparable field of study.
Qualifications
- Good knowledge of Python and React.
- Proficiency in Model Context Protocol, AI agents, and multi-agent systems is desirable.
- Fluent in German and English.
- Affinity for large data volumes and their intelligent analysis.
- Structured, independent, and project-oriented way of working.
- Teamwork skills, flexibility, and initiative.
- Enthusiasm for new technologies and the Mercedes-Benz brand.
Experience
- Experience with generative AI, prompting, LangChain, and Langraph is advantageous.
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What we offer
- The working student position can start from October/November 2026.
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Benefits
Higher Take-Home Pay
- 🏝️Summer and Christmas Bonus
- 🍰Employee Stock Option
- 💻Company Notebook for Private Use
- 🚙Company Car
- 📱Company Phone for Private Use
- 🛍Employee Discount
- 👴🏻Company Retirement Provision
- 👷♂️Additional Insurance
Health, Fitness & Fun
Work-Life-Integration
- 🐕Animals Welcome
- 🏠Home Office
- 🍼Day Care for Kids
- 🅿️Employee Parking Space
- 🚌Excellent Traffic Connections
- ⏰Flexible Working Hours
Food & Drink
Topics You Will Work On
Job Locations
About Your Employer
Mercedes - Benz AG
The Mercedes-Benz brand of automobiles is a registered trademark of Daimler AG. In 2016, sales of new vehicles reached 2.08 million. With business units including Mercedes-Benz Cars, Daimler Trucks, Mercedes-Benz Vans, Daimler Buses and Daimler Mobility, the company ranks among the leading providers of premium cars and is the world's largest commercial vehicle manufacturer.
Description
- Founding Year
- 1926
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Vehicle Manufacturing, Supplier, Industry, Production
Employer reviews
by devworkplaces.com
Total
(1 Review)4.4
Workingconditions
4.8Engineering
4.0Career Growth
4.8Culture
4.2
Student trainee in Applied AI and Data Analytics
- Location
- Sindelfingen
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
