Internship in GenAI Knowledge Assistant for Engineering

Descrizione del lavoro:

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

Requisiti del candidato:

Qualifications

* Education: master studies in the field of Data Science, Artificial Intelligence, Computer Science, Information Systems, Engineering or a comparable quantitative or technical area with good grades
* Experience and Knowledge:
* practical knowledge of large language models and Generative AI concepts such as RAG, embeddings, vector databases, prompt and context engineering, or AI agents
* solid programming skills, ideally in Python and SQL
* engineering background as a plus
* experience with Databricks (e.g. Vector Search, Genie, Mosaic AI Agent Framework, MLflow), LangChain, LlamaIndex or other Generative AI frameworks as an advantage
* understanding of heat pump technology and operating principles as an asset
* Personality and Working Practice: you are curious and self-driven, bringing a structured approach and strong communication skills to engaging with engineers from different backgrounds, understanding their needs and translating them into technical solutions
* Work Routine: we offer you the opportunity to work in a hybrid setup with regular on-site presence
* Enthusiasm: passionate about bridging AI and hardware engineering and making complex technical knowledge easily accessible through natural language
* Languages: very good in English