Internship in GenAI Knowledge Assistant for Engineering
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Job Description
• During your assignment, you will collect, structure and preprocess engineering knowledge sources such as technical documents, specifications, test reports and structured datasets.
• You will evaluate suitable Databricks-native and open-source tools (e.g. RAG, Text-to-SQL, AI Agents, Vector Search, Genie) for different types of engineering content.
• Based on this, you will design and implement natural language workflows on Databricks that allow hardware engineers to query both documents and structured data.
• To deliver reliable, source-grounded answers, you will apply prompt and context engineering and ensure result quality and traceability (e.g. citations, evaluation, guardrails).
• Additionally, you will collaborate closely with hardware engineers to understand use cases and iteratively improve the solution.
• Finally, you will communicate progress and findings through visualizations, short presentations and technical documentation.
Requirements
Function: Engineering
Experience Level: Internship