Our department, Mercedes Intelligent Cloud and Rising Stars Development, is responsible for the conception, continuous further development, and worldwide operation of the Mercedes-Benz Operating System (MB.OS) Core Cloud environment for connecting vehicles and customers, and for providing digital extras and services.

Current projects include MB.OS Vehicle and Customer Management, the further development of the Vehicle Data Pipeline, and a variety of Application & Developer Services, with the goal of creating a best-in-class Cloud Platform for developers and customers.

As a department, we have a strong passion for technology and software. Within the teams, we set different technical priorities, always with the aim of providing our internal and external customers with the best possible platform for the provision, operation, and use of connected features.

This internship project focuses on designing and implementing an AI-powered chat agent for the MB.OS Portal at Mercedes-Benz. MB.OS is the standardized software platform for the next generation of Mercedes-Benz vehicles and connects cloud services, in-vehicle software, and IoT systems across four core domains: Powertrain, Autonomous Driving, Infotainment, and Body & Comfort Systems. Within this ecosystem, the MB.OS Portal serves as a central entry point to accelerate delivery, with the ambition to enable a working prototype in 24 hours and production readiness within three months.

The project scope centers on the Remote Commands developer journey within the MB.OS Portal: the end-to-end process of specifying, configuring, testing, and rolling out remote vehicle commands such as door lock/unlock, preconditioning, and charge settings control, across different regions and rollout stages. Development teams, product owners, and testers currently rely on multiple disconnected backend systems to monitor command configurations and deployment or rollout status, making it hard to get a quick, reliable overview. The agent is intended to become the single, conversational entry point into this journey, combining applied AI, modern web architecture, and product-oriented development, with measurable impact on transparency, speed, and usability in the MB.OS software lifecycle.

Your tasks:

• Design and implement an AI chat agent for the MB.OS Portal's Remote Commands developer journey

• Enable natural-language queries, status overviews, and guidance through system information

• Support change requests for configuration updates, reducing cross-functional friction

• Build with Node.js, integrating with the portal's Vue.js, Angular, and Fastify components

• Consume language models via the Mercedes-Benz Model Garden (GenAI Nexus)

• Design for future integration into an overarching MB.OS chatbot via agent-to-agent communication (A2A)

The activity can begin from October 2026.

• Degree program in Computer Science, Software Engineering, Business Information Systems, or a comparable program with a relevant technical focus

• Proficiency in German and English, both written and spoken

• Proficiency in Microsoft Office

• Commitment and ability to work in a team

• Analytical mindset and strategic approach

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.

People Solutions 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).