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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

21Open Positions

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Intern Agent-Based AI Systems and BMW Intelligent Personal Assistant (f/m/x)

BMW Group
Found 1 month ago
Location
Munich, Germany
Duration (Months)
6 Months
Time
Full-time
Work Mode
Hybrid
Salary
Attractive & fair compensation
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • AWS
  • Bedrock
  • Lambda
  • API Gateway
  • Python
  • REST APIs
  • backend services
  • LLM-based or agentic AI systems
  • tool use
  • prompt design
  • multi-step reasoning
  • agent communication concepts
  • MCP
  • A2A
  • large language models
  • cloud-based prototype environment (AWS)

Soft Skills

  • structured thinking
  • hands-on implementation

Job Description

Our team develops AI-based vehicle functions for the BMW Intelligent Personal Assistant. We are building a proof-of-concept for agentic AI systems that enable intelligent orchestration, contextual reasoning, and adaptive in-car experiences. As part of our international team, you will contribute to designing and implementing innovative AI modules in a vehicle prototype environment. What awaits you? * You will support the development and prototyping of agent-based AI systems using state-of-the-art large language models. * Furthermore, you help design and implement orchestration logic connecting AI agents with structured tools and data sources. * In addition, you contribute to integrating and testing AI services in a cloud-based prototype environment (AWS). * Moreover, you assist in exploring and evaluating agent communication patterns (e.g., MCP, A2A) and their practical applicability. * You will also support evaluating reasoning quality, tool selection behavior, and system performance. * Dynamic and challenging tasks in an agile setup requiring structured thinking and hands-on implementation.

Requirements

  • Studies in computer science, artificial intelligence, software engineering, robotics or a related field at Master's level.
  • Practical experience with AWS, especially Bedrock, Lambda, and API Gateway.
  • Strong programming skills in Python and experience with REST APIs and backend services.
  • Experience building or experimenting with LLM-based or agentic AI systems, including tool use, prompt design, and multi-step reasoning.
  • Understanding of agent communication concepts such as MCP and A2A.

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English

Nice to Haves

  • German skills
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