Internship / Master Thesis : Leverage agentic workflows and LLMs for interactive process modeling
We are ELCA, one of the largest Swiss IT tribe with over 2,300 experts. We are multicultural with offices in Switzerland, Spain, France, Vietnam and Mauritius. Since 1968, our team of engineers, business analysts, software architects, designers and consultants provide tailor-made and standardized solutions to support the digital transformation of major public administrations and private companies in Switzerland. Our activity spans across multiples fields of leading-edge technologies such as AI, Machine & Deep learning, BI/BD, RPA, Blockchain, IoT and CyberSecurity.
Job Description
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 be 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 – e.g. on Azure.
* Write an article to be published on the web 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 – e.g. Python, Java.
* Nice to have: knowledge of commonly used services of Azure or AWS, knowledge of foundational models.
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