Internship / Master Thesis : 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 to support business analysts and process modelers in the design of business process models. An LLM can directed to go through a precise methodology and constrained to respect rules 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, CMMN 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