Dive into the world of Agentic AI and Generative AI, explore the potential of LLMs and turn your ideas into innovative AI solutions with us.
- During your assignment, you will support the design and development of an agentic harness to orchestrate LLM-based agents, tools and function calling.
- You will build and improve agentic workflows for internal use cases, including planning, tool use, memory and multi-agent coordination.
- Additionally, you will integrate and evaluate Generative AI / LLM models and prompt strategies, including prompt engineering and guardrails.
- To measure agent quality, reliability and performance, you will develop evaluation and benchmarking pipelines.
- As part of your work, you will prototype proof-of-concepts and contribute to Python-based tooling, APIs and automation.
- Finally, you will document results and present your findings to the team.
- Education: studies in the field of Computer Science, Data Science, AI/Machine Learning, Software Engineering, Mathematics or comparable with good grades
- Experience and Knowledge:
- solid programming skills in Python
- familiarity with Generative AI / LLMs (e.g. prompt engineering, LLM APIs, frameworks such as LangChain, LangGraph or LlamaIndex)
- understanding of REST APIs and Git
- basic awareness of agentic concepts (tool calling, RAG, multi-agent systems)
- exposure to cloud environments (AWS/Azure/GCP), containerization (Docker), CI/CD or ML/evaluation frameworks
- Personality and Working Practice: you are curious and eager to learn, approach tasks independently with a structured and analytical mindset, and enjoy collaborating with others through strong communication and team spirit
- Work Routine: we offer you the possibility to work remotely part of the time by arrangement
- Enthusiasm: passion for Generative AI, autonomous agents and building cutting-edge AI tooling
- Languages: very good in English and beginner in German
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?
Vishal Nair Vijayan (Functional Department)
+49 711 811 29451
Work #LikeABosch starts here: Apply now!
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