Internship in GenAI Knowledge Assistant for Engineering

About the Role

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.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 gradesExperience and Knowledge: practical knowledge of large language models and Generative AI concepts such as RAG, embeddings, vector databases, prompt and context engineering, or AI agentssolid programming skills, ideally in Python and SQLengineering background as a plusexperience with Databricks (e.g. Vector Search, Genie, Mosaic AI Agent Framework, MLflow), LangChain, LlamaIndex or other Generative AI frameworks as an advantageunderstanding of heat pump technology and operating principles as an assetPersonality 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 solutionsWork Routine: we offer you the opportunity to work in a hybrid setup with regular on-site presenceEnthusiasm: passionate about bridging AI and hardware engineering and making complex technical knowledge easily accessible through natural languageLanguages: very good in EnglishStart: according to prior agreement Duration: 6 monthsRequirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit.Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.Need further information about the job? Linnan Du (Functional Department) +49 7153 306 8232Work #LikeABosch starts here: Apply now!#LI-DNI