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AI in Test Management and Automation Internship

Job Description

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.

We are Bosch Digital. Our mission is to shape the digital future of Bosch together with our business divisions. We invent, code and create digital products, services as well as solutions that spark enthusiasm and improve quality of life. Bosch Digital is home to more than 10,000 unique and diverse talents around the world. Our agile mindset as well as working culture are a key driver of digital transformation at Bosch and gives both our associates and their ideas room to grow. Take the next step and shape the digital tomorrow together with us.

The Robert Bosch GmbH is looking forward to your application!

Job Description

  • During your internship, you will build and scale an AI‑based testing system by further developing an existing proof of concept and actively supporting the successful rollout of this solution.
  • From initial concept to final implementation, you will independently develop full‑stack features end to end, covering UI and API development through to AI integration, including AI agents and AI‑enabled workflows.
  • At the same time, you will actively identify improvement potential within the existing proof of concept and suggest concrete enhancements to strengthen overall functionality and scalability.
  • Working closely with various teams, you will collaborate across different areas of the organization and gain insights into multiple domains while contributing to scaling the current solution.
  • In this role, you will benefit from access to the latest large language models, state‑of‑the‑art IT infrastructure, and a high level of creative freedom when shaping the technical implementation.

Qualifications

  • Education: advanced studies in the field of Computer Science, Data Science, Mathematics, Statistics, Engineering or a comparable quantitative discipline with good grades
  • Experience and Knowledge:
    • demonstrated programming proficiency in Python
    • initial exposure to DevOps best practices such as Git and unit testing
    • strong foundation in both theory and practice of Large Language Models and Generative AI, including prompt engineering and orchestration
    • hands-on familiarity with RAG techniques and agentic workflows
    • involvement in fine‑tuning, evaluation, and/or deployment of foundation models
  • Personality and Working Practice: you are an excellent communicator with strong organizational skills, highly motivated, hands-on, and enjoy working in interdisciplinary teams with a clear focus on shared success
  • Work Routine: we offer you the opportunity to work in a hybrid setup
  • Enthusiasm: for GenAI and building AI agents in a fast-paced environment
  • Languages: fluent in English and beginner in German

Additional Information

Start: according to prior agreement

Duration: 6 months (confirmation of mandatory internship required)

We offer you

  • 35 hours/week with flextime
  • a permanent contact person who will accompany you during your internship
  • a modern working environment, as well as mobile working by arrangement
  • the opportunity to become part of our student network students@bosch Stuttgart
  • discounts in our company restaurants

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.

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?

Shyam Bhadya (Functional Department)

+49 9352 18 1553

Work #LikeABosch starts here: Apply now!

#LI-DNI

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