Mercedes-Benz - Internship – product & AI engineering

Deadline: As soon as possible

Internships

Companies

Location(s)

  • Germany
Stuttgart

Overview

You will contribute to an innovation-driven product that applies agentic AI architectures and end-to-end orchestration to a complex core after-sales process. The focus is on combining cooperating AI agents, deterministic logic, and orchestration workflows to support large-scale, market-specific decisions in a transparent and governed way. Working on a real proof-of-concept in an enterprise environment, you will help integrate agent workflows and system interfaces that enable controlled automation and explainability.

Details

What you will do

  • Work hands-on on an AI-driven proof-of-concept for core after-sales processes
  • Support the implementation and testing of PoC components such as data products, machine learning models, agent workflows, or UI elements
  • Combine technical contributions with project and PMO support (planning, coordination, documentation)
  • Help structure tasks, track progress, and prepare status updates and workshops
  • Collaborate closely with software, data, AI, and business teams
  • Contribute ideas and help turn them into working solutions 

What you will learn

  • How agent-based systems are designed, orchestrated, and integrated into real enterprise processes
  • How AI agents, deterministic business logic, and workflow orchestration interact in multi-step decision flows
  • How to structure and deliver a technical proof-of-concept, from architecture and implementation to validation and presentation
  • How to collaborate with international, cross-functional teams across multiple locations worldwide
  • How project and delivery management (PMO) works in an agile IT environment, including planning and structuring of tasks, dependency tracking, and status reporting
  • How to prepare decision-ready documentation and stakeholder updates, balancing technical detail with management-level clarity 

Opportunity is About


Eligibility

Candidates should be from:


Description of Ideal Candidate

What you bring

  • Ongoing studies in Business Informatics, Data Science, Engineering, Computer Science, or a comparable field
  • Strong interest in AI, software development, and modern IT solutions; initial experience with AI is a plus
  • Programming experience (e.g. Python, JavaScript)
  • A structured mindset, curiosity, and motivation to work on innovative topics
  • Very good English skills; German is a plus 

Dates

Deadline: As soon as possible


Cost/funding for participants

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