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Intern Multimodal Agentic AI for In-car Voice Assistant(m/w/x)
Building and deploying generative AI features for automotive HMI. Agentic AI experience (MCP, A2A, agent-based architectures) a plus. Student apartments available.
Requirements
- Studies in computer science, engineering, mathematics, physics, or related field
- Solid Python programming knowledge and prototyping experience
- Experience developing GenAI tools/apps with LLMs, prototyping, evaluation
- Agentic AI experience (MCP, A2A, agent-based architectures) (plus)
- Fast learner, willingness to adapt to new technologies/platforms
- Experience with Agile development (sprints, stand-ups, demos, backlog)
- Good German and English skills
Tasks
- Collaborate with engineers and researchers
- Build multimodal features for voice assistants
- Research LLM and GenAI features for voice assistants
- Prototype LLM and GenAI features for voice assistants
- Deploy LLM and GenAI features for voice assistants
- Build fast Python prototypes for multimodal interactions
- Develop multimodal interactions using speech, vision, text
- Explore practical in-car use cases
- Investigate dialogue, context awareness, and multimodal data
- Test automotive AI features
- Validate automotive AI features
- Ensure safety and compliance of automotive AI features
- Adopt new GenAI tools as needed
Education
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Python
- GenAI
- LLMs
- MCP
- A2A
- Agile
Benefits
Flexible Working
- Flexible working hours
- Mobile work
Mentorship & Coaching
- Comprehensive mentoring and onboarding
Learning & Development
- Personal and professional development
Other Benefits
- Student apartments
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Intern Multimodal Agentic AI for In-car Voice Assistant(m/w/x)
Building and deploying generative AI features for automotive HMI. Agentic AI experience (MCP, A2A, agent-based architectures) a plus. Student apartments available.
Requirements
- Studies in computer science, engineering, mathematics, physics, or related field
- Solid Python programming knowledge and prototyping experience
- Experience developing GenAI tools/apps with LLMs, prototyping, evaluation
- Agentic AI experience (MCP, A2A, agent-based architectures) (plus)
- Fast learner, willingness to adapt to new technologies/platforms
- Experience with Agile development (sprints, stand-ups, demos, backlog)
- Good German and English skills
Tasks
- Collaborate with engineers and researchers
- Build multimodal features for voice assistants
- Research LLM and GenAI features for voice assistants
- Prototype LLM and GenAI features for voice assistants
- Deploy LLM and GenAI features for voice assistants
- Build fast Python prototypes for multimodal interactions
- Develop multimodal interactions using speech, vision, text
- Explore practical in-car use cases
- Investigate dialogue, context awareness, and multimodal data
- Test automotive AI features
- Validate automotive AI features
- Ensure safety and compliance of automotive AI features
- Adopt new GenAI tools as needed
Education
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Python
- GenAI
- LLMs
- MCP
- A2A
- Agile
Benefits
Flexible Working
- Flexible working hours
- Mobile work
Mentorship & Coaching
- Comprehensive mentoring and onboarding
Learning & Development
- Personal and professional development
Other Benefits
- Student apartments
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
BMW Group
Industry
Automotive
Description
Das Unternehmen bietet spannende Praktika im Bereich Markenerlebnis und Eventmanagement und legt großen Wert auf Gleichbehandlung und Chancengleichheit.
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