Internship in GenAI Knowledge Assistant for Engineering
Core
Collect, structure, and preprocess engineering knowledge sources to design and implement natural language workflows on Databricks for hardware engineers to query documents and structured data.
Role type
Intern GenAI Knowledge Assistant
Builds
Natural language workflows on Databricks enabling hardware engineers to query technical documents and structured data
Domain
Generative AI / Engineering Knowledge Management
Deliverable
production ML models
Required skills
Large language models, RAG, embeddings, vector databases, prompt engineering, context engineering, Python, SQL
Preferred skills
Databricks (Vector Search, Genie, Mosaic AI Agent Framework, MLflow), LangChain, LlamaIndex, heat pump technology
Technologies
Databricks, RAG, Text-to-SQL, AI Agents, Vector Search, Genie, LangChain, LlamaIndex, MLflow
Responsibilities
Collect and preprocess engineering knowledge sources; Evaluate Databricks-native and open-source tools; Design and implement natural language workflows; Apply prompt and context engineering for reliable answers; Collaborate with hardware engineers to understand use cases; Communicate progress through visualizations and documentation
