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

BMW Group9 hours agoInternship
HybridEnglish requiredTechAI, ML & Data Science

At a glance

  • Pay

    Not stated

    Median for Tech in Munich: €2,410/mo, from 27 internship postings with stated pay in the last 12 months. Salary guide

  • Requirements

    Studies: Computer science, data science, engineering or related

    Languages: English (good)

  • Hours & duration

    Starts 23 November 2026 · 6 months

  • Benefits

    Flexible hours
  • Employer

    BMW Group · Automotive · 10,000+ employees worldwide · HQ in Munich

    We list 411 open student roles at BMW Group, 337 in Munich. 1,204 more have closed since March 2026. See all BMW Group roles

  • Similar roles

    471 open Tech roles in Munich

    Of these: 34% with no German needed, 55% hybrid or remote, 9% with pay stated.

    60 of the 471 need no German and are hybrid or remote, this role included.

  • Skills in the ad

    AWSAPI DeploymentMCPA2AIAMAgentic SystemsMachine LearningEC2Large Language ModelsKubernetesGraphQLPythonSQLAWS Lambda

Job description

Description provided by BMW Group

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.
  • Good English skills.

Would you like to support our research team in shaping the future of intelligent mobility and AI-based context engineering? Then Apply now!

What do we offer?

  • Comprehensive mentoring & onboarding.
  • Personal & professional development.
  • Flexible working hours.
  • Mobile work.
  • Attractive & fair compensation.
  • Apartments for students (subject to availability & only at the Munich location).
  • And much more, see bmw.jobs/waswirbieten.

Start date: Earliest start date 23.11.2026

Duration: 6 months

Working hours: Full-time

You can find helpful tips on your application and the application process here.

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

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

Rules that apply:Mandatory internship140/280-day ruleNet pay calculator

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