Student AI Prototyping Engineer

Körber Pharma Packaging AG; France; Sur place; EUR 13 000 - 20 000; Plein temps

Résumé du poste

Körber Pharma Packaging AG is seeking a university-trained aspiring AI Engineer to support the technical exploration of AI applications. You will build and iterate on prototypes, test what is technically feasible, and turn promising ideas into working demos.

The role emphasizes hands-on experimentation with LLMs, agentic workflows, and orchestration, with connections to enterprise systems as needed. Ideal candidates are enrolled in CS/DS/AI-related programs, have basic Python and Git experience,

Qualifications

• You are 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.
• You are excited about building things, testing ideas quickly, and learning through experimentation.
• You have strong curiosity for modern AI development topics such as LLMs, retrieval-augmented generation, agentic systems and tool use, and applied prototyping.
• You have some experience with LLM APIs (e.g., Azure OpenAI), orchestration frameworks (e.g., LangChain, Microsoft Agent Framework), RAG patterns with a vector store (e.g., pgvector), or evaluation tooling (e.g., Mlflow).
• You can work in a structured way and communicate technical findings clearly.
• You are comfortable navigating ambiguity and iterating toward workable solutions.
• You are fluent in English; German is a plus.

Responsabilités

• 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 where needed.
• 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.

Connaissances

Python

Git-based development workflows

Structured experimentation

Clear communication of findings

Formation

University program in CS/DS/AI/SE/BI

Outils

LangChain

Microsoft Agent Framework

pgvector

Azure OpenAI

Mlflow

Description du poste

Körber Pharma Packaging AG is seeking a university-trained aspiring AI Engineer to support the technical exploration of AI applications. You will build and iterate on prototypes, test what is technically feasible, and turn promising ideas into working demos.

The role emphasizes hands-on experimentation with LLMs, agentic workflows, and orchestration, with connections to enterprise systems as needed. Ideal candidates are enrolled in CS/DS/AI-related programs, have basic Python and Git experience,