194782 Intern AI-Based Context Engineering (f/m/x) Published: 23.10.2026 Software Development Munich New Software Development Munich Munich

BMW Group; München; On-site; EUR 13,000 - 20,000; Full time

Benefits offered by this job

Mobile work

Apartments for students (Munich)

Job summary

BMW Group in Munich invites you to an AI-focused internship to advance intelligent mobility. You will join a cross-disciplinary team from day one, contributing to memory management and personalized context engineering for our AI-based assistant.

During six months of full-time work, you will apply Python, AWS, and Kubernetes to prototype models, expand vehicle signal interpretation, and deliver tailored conversational experiences and recommendations.

Qualifications

• Pursue studies in CS/DS/engineering or related field.
• Strong knowledge of AI, ML, and context-aware computing.
• Proficiency in Python for agentic frameworks, model integration, prototyping, and API deployment.
• Hands-on experience with AWS cloud services (IAM, EC2, Lambda) and Kubernetes.
• Familiarity with SQL and GraphQL; experience with heterogeneous data formats is a plus.
• Excellent communication and ability to thrive in a collaborative, interdisciplinary team.

Responsibilities

• Support building and optimizing the AI-based memory management system of BMW's intelligent assistant.
• Help extend the list of vehicle signals the memory system can interpret for customer interaction.
• Contribute to tailoring conversational experiences and recommendations using user data.
• Assist in designing and implementing A2A, MCP, and agentic systems using various data sources.

Skills

AI

Machine Learning

Python

Context-aware computing

SQL

GraphQL

Communication

Education

CS/DS/Engineering or related field

Tools

AWS

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.