Artificial Intelligence Intern [IDA:00066]

• Analyze and structure technical requirements from automotive OEMs.
• Develop LLM-based solutions for requirement understanding, classification, and validation.
• Build and evaluate RAG pipelines for engineering documents and domain knowledge.
• Explore agentic AI workflows for complex engineering tasks.
• Apply model checking and formal verification to validate system requirements and designs.
• Investigate using LLMs to generate or synthesize formal models and code for model-checking tools.
• Design experiments, evaluate results, and document findings.
• Collaborate with AI researchers, software engineers, and domain experts.
• Currently studying Computer Science, Artificial Intelligence, Software Engineering, Mathematics, Electrical Engineering, or a related field.
• Basic knowledge of machine learning, natural language processing, or LLMs.
• Programming experience in Python.
• Interest in one or more of the following:
• LLMs and prompt engineering
• AI agents
• RAG and vector databases
• Formal methods and model checking
• Model synthesis / code generation
• Automotive requirements engineering

Nice to Have

• Experience with LLM frameworks such as LangChain, LlamaIndex, or similar.
• Familiarity with formal verification tools or languages such as NuSMV, SPIN, UPPAAL, TLA+, or temporal logic.
• Experience with embeddings, knowledge graphs, or document-processing pipelines.
• Familiarity with Git, Docker, and software development practices.

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