Internship in GenAI Knowledge Assistant for Engineering

BOSC; Wernau (Neckar); Hybrid; EUR 12,000 - 21,000; Full time

Benefits offered by this job

Hybrid work setup

Job summary

Bosch Thermotechnik GmbH in Germany invites you to join a GenAI Knowledge Assistant for Engineering internship, focusing on collecting and preprocessing engineering sources and building AI-driven queries. You will evaluate tools like Databricks, RAG, and AI agents, design NLP workflows, ensure source-grounded results with citations, and collaborate with hardware engineers.

This hybrid role requires a master's student, strong Python/SQL skills, and English proficiency, with a 6-month duration

Qualifications

• Master studies in Data Science, AI, CS, IS, Engineering or similar with good grades.
• Hands-on knowledge of large language models and Generative AI concepts (RAG, embeddings, vector databases, prompts).
• Strong Python and SQL programming skills.
• Experience with Databricks, LangChain, LlamaIndex or similar Generative AI frameworks.
• Understanding of heat pump technology is an asset.

Responsibilities

• 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.

Skills

Large language models

Python

SQL

Databricks

GenAI concepts

Vector databases

Prompt and context engineering

Education

Master's degree in Data Science / AI / CS / IS / Engineering

Tools

Databricks

LangChain

LlamaIndex

Genie

Mosaic AI Agent Framework

MLflow

Job description

Internship in GenAI Knowledge Assistant for Engineering

• Full-time
• Legal Entity: Bosch Thermotechnik GmbH

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!

• 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 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

Start:according to prior agreement Duration:6 months

Requirement for this internship is the enrollment at university.

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) [phone]