Participate in the evolution of our agentic-assisted offer proposal tool. Explore how we can leverage LLM and agents to analyze customer tenders and help ELCA experts produce a response that builds on ELCA’s expertise and experience while best responding to the customer’s requirements.
Objectives
Explore and possibly implement evolutions of the current Proof of Concept tool
Explore how existing internal data sources can be used to assist in this process
Our offer
A collaborative, international, and tech-driven environment
Real impact: contribute to innovative AI solutions
Internal tech events (hackathons, brownbags) and our technical blog
Monthly after-work events across locations
Skills required
Python programming
Understanding of Large Language Models
Additional information
Thesis starting in February 2026
Applications must include your most recent academic transcripts
Candidates must be completing a Master’s degree and enrolled in a higher-education program with a valid internship agreement (convention de stage)