Additionalinformation

Additional Information

Start: according to prior agreement Duration: 6 months

Requirement 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. As a global company, we are legally required to comply with applicable EU and U.S. (re-)export control and sanctions regulations. This means that for certain, particularly sensitive positions, we may only hire individuals who have undergone an additional legal screening. This position is one such sensitive role. We will therefore ask you for additional information required for this screening as the application process continues. You can find information about the processing of your data in our Privacy Notice for the application process.

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 8232

Work #LikeABosch starts here: Apply now!

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Companydescription

Company Description

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference. TheBosch Home Comfort Group is looking forward to your application!

Jobdescription

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.

Qualifications

• Education: master studies in the field of Energy Engineering, Mechanical Engineering, HVAC, Control Systems, Computer Science, Data Science, or a comparable technical field with good grades– a combination of engineering domain knowledge and AI/data skills is ideal
• 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

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