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About the Role
Support the technical exploration of AI applications with a focus on feasibility. Quickly test technical possibilities, build prototypes, evaluate tools and architectures, and turn ideas into tangible demos or working solutions. The role is hands-on, experimental, and product-oriented, working on applied topics like LLMs, agentic systems, APIs, lightweight frontends, and technical integrations.
Responsibilities
- Build and iterate on AI prototypes, demos, and proof-of-concept applications
- Experiment with LLM-based applications, agentic workflows, prompt strategies, and orchestration patterns
- Connect prototypes to APIs, data sources, and enterprise systems
- Support lightweight frontend or app prototypes to make concepts tangible and testable
- Run structured evaluations and benchmarks for models, tools, and technical approaches
- Help with data preparation, prompt engineering, integration logic, and workflow design
- Document prototype architectures, technical learnings, and implementation trade-offs
Requirements
- Currently enrolled in a university program such as Computer Science, Data Science, AI Engineering, Software Engineering, Business Informatics, or a related field
- First hands-on programming experience with Python and Git-based development workflows
- Excited about building things, testing ideas quickly, and learning through experimentation
- Strong curiosity for modern AI development topics such as LLMs, retrieval-augmented generation, agentic systems and tool use, and applied prototyping
- Can work in a structured way and communicate technical findings clearly
- Comfortable navigating ambiguity and iterating toward workable solutions
- Fluent in English, German is a plus
Skills
- Python
- Git
- LLM APIs (e.g., Azure OpenAI)
- Orchestration frameworks (e.g., LangChain, Microsoft Agent Framework)
- RAG patterns with a vector store (e.g., pgvector)
- Evaluation tooling (e.g., Mlflow)
Education Level
- University program in Computer Science, Data Science, AI Engineering, Software Engineering, Business Informatics, or a related field
About the Company
- At Körber, we think long term and pursue objectives that apply across all of our business areas. In line with our vision of “Market Leadership through Technology Leadership,” we have defined our “Life 2035” goals for the next decade to ensure that Körber becomes the leading partner in our industries—Life Science, Supply Chain, and High-Tech Manufacturing—by 2035.
- Life 2035 is built on four pillars that define how we embrace our shaping role: Leadership, Innovation, Findependence, and Empowerment.
- Sustainably profitable growth and financial independence form the foundation for achieving our ambitious financial targets for the next decade.
- By 2035, we aim to achieve global revenues of €10 billion.
- You can find more at https://www.koerber.com/en/about-us/what-drives-us
Equal Opportunity
- We value diversity and therefore welcome all applicants - regardless of gender, nationality, ethnic or social origin, religion/belief, disability, age, sexual orientation and identity, and any other protected status.