Intern AI-Based Context Engineering (f/m/x)

BMW Group

München

On-site

EUR 11,000 - 16,000

Full time

4 days ago
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Benefits offered by this job

Mobile work
Student housing Munich

Job summary

BMW Group is seeking an internship to advance intelligent mobility and personalized AI-based context engineering. You will join a research team from day one, contribute to memory management for the BMW personal assistant, and help extend vehicle signals and user-tailored experiences.

The role emphasizes Python implementation, AWS cloud familiarity, and cross-disciplinary collaboration in Munich. 6-month full-time internship with housing options near Munich may be available.

Qualifications

  • Knowledge of AI, ML and context-aware computing.
  • Proficiency in Python for implementation and API deployment.
  • Strong communication skills and ability to collaborate in interdisciplinary teams.
  • Experience with AWS cloud services (IAM, EC2, Lambda) is a plus.
  • Familiarity with SQL and GraphQL.
  • Experience with diverse data formats is a plus.

Responsibilities

  • Support building and optimizing the AI-based memory management system of the BMW intelligent personal assistant.
  • Help extend the list of vehicle signals the memory system can interpret.
  • Contribute to leveraging user information for tailored conversations and recommendations.
  • Assist in designing and implementing A2A, MCP, and agentic systems using various data sources.

Skills

AI & ML
Python programming
Communication skills
Team collaboration
AWS cloud services
SQL & GraphQL
Kubernetes

Education

Studies in computer science, data science, engineering or related field

Tools

Kubernetes

Job description

THE BEST INTERNSHIP IN THEORY - AND IN PRACTICE.

SHARE YOUR PASSION.

World-leading technologies don’t make it into a BMW until they’ve undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.

Our research team at the BMW Group is dedicated to advancing intelligent mobility and shaping the future of personalized context and AI-based context engineering. We support innovative projects that redefine the customer's driving experience through large language model applications.

What awaits you?
  • You will support building and optimizing the AI-based memory management system of the BMW intelligent personal assistant.
  • Furthermore, you help extend the list of vehicle signals the memory system can interpret to get to know the customer with every vehicle interaction.
  • In addition, you contribute to leveraging user information to deliver tailored conversational experiences and recommendations.
  • Moreover, you assist in designing and implementing A2A, MCP, and agentic systems using various data sources.
What should you bring along?
  • Studies in computer science, data science, engineering or a related field.
  • Strong knowledge of artificial intelligence, machine learning, and context-aware computing.
  • Proficiency in Python for implementation of agentic frameworks, model integration, prototyping, and API deployment.
  • Hands-on experience or strong interest in AWS cloud services, including IAM Management, EC2, AWS Lambda, Kubernetes, and related tools.
  • Familiarity with querying languages such as SQL and GraphQL, and experience working with heterogeneous data formats is a plus.
  • Excellent communication skills and ability to thrive in a collaborative, interdisciplinary team environment.
What do we offer?
  • Mobile work.
  • Apartments for students (subject to availability & only at the Munich location).
Duration: 6 months
Working hours: Full-time

At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Learn more here

BMW AG

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