Praktikum als GenAI-Wissensassistent*in für den Bereich Engineering (w/m/div.)
Core
Collect, structure, and prepare technical knowledge sources (documents, specs, test reports) to build Natural-Language-Workflows on Databricks that enable hardware engineers to query both documents and structured data using GenAI.
Role type
Intern, GenAI Knowledge Assistant for Engineering
Builds
Natural-Language-Workflows on Databricks for querying technical documentation and structured datasets
Domain
Energy technology / HVAC / Hardware Engineering + Generative AI
Deliverable
production ML models
Required skills
Large Language Models, RAG, Embeddings, Vector databases, Prompt and Context Engineering, AI Agents, Python, SQL
Preferred skills
Databricks (Vector Search, Genie, Mosaic AI Agent Framework, MLflow), LangChain, LlamaIndex, Heat pump technology
Responsibilities
Evaluate Databricks-native and Open-Source tools for technical content; Design and implement Natural-Language-Workflows; Apply Prompt and Context Engineering to ensure answer quality and traceability; Collaborate with hardware engineers to understand use cases and iterate solutions; Communicate progress and insights via visualizations, presentations, and documentation.
