Master Thesis / Internship : Leverage agentic workflows and LLMS for interactive process modeling

Description
Build a business process modelling assistant – In the context of document and process management, AI can be leveraged support business analysts and process modelers, in the design of business process models in a guided and interactive approach. To achieve this LLMs can be directed to apply a go through an interactive methodology and respect constraints in terms of design patterns, data structure and style. This approach produces significantly more advanced results - in our case business process models - than what a plain GPT assistant can do out of the box.

Objectives

Develop a prototype – Implement a prototype which supports BPMN and DMN modelling standards. Leverage MCP and RAG to integrate a knowledge base for business domain expertise and accurate process design. Present the results internally. Deploy the solution online – ex: on Azure. 
An article to be published on web will be written to present the results of the internship.
 

Our offer

• A dynamic work and collaborative environment with a highly motivated multi-cultural and international sites team
• The chance to make a difference in peoples’ life by building innovative solutions
• Various internal coding events (Hackathon, Brownbags), see our technical blog
• Monthly After-Works organized per locations

Skills required

• Knowledge of NLP and techniques for training, tuning, and deploying machine learning (ML) models, knowledge in deep learning development.
• Practical software development skills in one or more programming languages -ex: Python, Java
• Nice to have: knowledge of commonly used services of Azure or AWS, knowledge of foundational models
   

This internship starts in February 2026. 

Applications must include your most recent academic transcripts (grades); applications without transcripts will not be considered.