Since its spin-off in September 2025 AUMOVIO continues the business of the former Continental group sector Automotive as an independent company. The technology and electronics company offers a wide-ranging portfolio that makes mobility safe, exciting, connected, and autonomous. This includes sensor solutions, displays, braking and comfort systems as well as comprehensive expertise in software, architecture platforms, and assistance systems for software-defined vehicles. In the fiscal year 2024 the business areas, which now belong to AUMOVIO, generated sales of 19.6 billion Euro. The company is headquartered in Frankfurt, Germany and has about 87.000 employees in more than 100 locations worldwide.
Job DescriptionPrimary Goals:
- Develop an Agentic AI framework to standardize requirements expressed in natural language.
- Explore and implement methodologies to enhance the effectiveness and efficiency of requirement normalization using Agentic AI.
- Evaluate the performance of the developed model through rigorous testing and comparison with existing methods.
- Explore and implement methods to make open-source LLMs assist in requirement domain-specific generation, including data pre-processing, model-finetuning, etc.
- Document the project findings and present them in a clear and comprehensible manner.
This internship provides an excellent opportunity for talented individuals passionate about Artificial Intelligence, Generative AI, Agentic AI, and Prompt Tuning. As a part of our team, you will collaborate with experienced practitioners and researchers, gain practical experience in state-of-the-art technologies, and contribute to pioneering research in the field of Generative AI assisted by Agentic AI.
Activities:
- Research and understand the principles and applications of Generative AI, with a focus on Agentic AI.
- Design and implement an Agentic AI framework and Generative AI model capable of normalizing requirements expressed in various forms of natural language.
- Develop methods to assist and augment the knowledge retrieval from multiple sources and associated generation (Retrieval Augmented Generation).
- Collect and preprocess a diverse dataset of requirements for training and evaluation purposes.
- Fine-tune the LLM parameters and optimize its performance through iterative experimentation.
- Develop evaluation metrics and conduct thorough testing to assess the effectiveness and efficiency of the model.
- Document the project progress, methodologies, and results in a comprehensive report.
- Prepare and deliver presentations to communicate the project findings to stakeholders.
Requirements:
- Currently enrolled as an undergraduate or master’s student in Computer Science, Data Science, Machine Learning, Robotics, or a related field. A strong academic record with coursework in artificial intelligence, deep learning, or NLP is preferred.
- Proficiency in machine learning and natural language processing techniques.
- Familiarity with Generative AI models, particularly Agentic AI, is highly desirable. Prior experience with libraries like LangChain, LangGraph, gradio, streamlit is a plus.
- Prior experience with storage and retrieval from vector DBs is a plus.
- Strong programming skills in languages such as Python. Experience with implementing machine learning algorithms or NLP projects in academic or otherwise is advantageous.
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Ability to work independently and collaboratively in a dynamic team environment.
- Excellent communication skills, both written and verbal.
- Prior experience with AI-related projects or research is a plus.
This project offers a unique opportunity to apply cutting-edge AI techniques to address real-world challenges in requirements engineering. The successful candidate will have the chance to make significant contributions to the field of Generative AI while gaining valuable experience and skills in advanced machine learning methodologies.
Ready to take your career to the next level? The future of mobility isn’t just anyone’s job. Make it yours! Join AUMOVIO. Own What’s Next.
Skills Required
- Currently enrolled as a student in Computer Science, Data Science, or related field
- Strong academic record with coursework in artificial intelligence, deep learning, or NLP
- Proficiency in machine learning and NLP techniques
- Familiarity with Generative AI models, particularly Agentic AI
- Strong programming skills in Python
- Experience with deep learning frameworks like TensorFlow or PyTorch
- Excellent communication skills, both written and verbal
Aumovio Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Aumovio and has not been reviewed or approved by Aumovio.
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Healthcare Strength — Health, dental, and vision offerings in the U.S. are described as very good or affordable, with HSA contributions enhancing coverage. This establishes a strong medical foundation even when cash pay is middling.
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Retirement Support — A 401(k) match in the U.S. is characterized as pretty good or high, strengthening total compensation. This bolsters long‑term savings beyond base salary.
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Leave & Time Off Breadth — PTO starting around 17–18 days plus holidays, and instances of extra paid time at year‑end, indicate generous time off. This breadth can offset average base pay for some employees.
Aumovio Insights
What We Do
AUMOVIO – ready for the automotive transition We are the Adaptive Powerhouse for Future Mobility, making it safe, exciting, connected, and autonomous. To achieve this goal, we offer innovative hardware and software, modern mobility solutions, and a wide range of mobility services. We act in the here and now while thinking far ahead. We are reliable, no matter what, utterly focused, and passionate team players. With nearly 93,000 employees (as of December 31, 2024), we generated revenue of almost EUR 20 billion in the business year 2024. We have more than 100 locations globally, with headquarters in Frankfurt, Germany. Inspired by Future. Driven by Technology. Learn more about our social media data protection policy here: https://www.aumovio.com/some-data-protection
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