Internship: AI Integration Engineer (LLM & RAG for Enterprise Document Mana at ELCA Informatique SA

Zurich, Zurich, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

16 Jul, 26

Salary

0.0

Posted On

17 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial Intelligence, Large Language Models, RAG, Java, Python, Angular, IntelliJ, Confluence, JIRA, Data Science, Software Architecture, Information Management, System Integration, Technical Documentation

Industry

IT Services and IT Consulting

Description

ELCA's Mosaic IIM Solutions is Switzerland's expert for tailor-made Intelligent Information Management, helping organizations streamline digital processes, reduce costs, and maximize information security across diverse projects and various industries. In this internship, with planned start date in September 2026, your objective is to build an AI-powered knowledge assistant that connects Mosaic's product documentation and configuration sources with a large language model, to achieve a complex product knowledge base instantly accessible to business analysts and users. Your responsibilities * Analyze and consolidate existing product documentation spread across multiple platforms (Confluence, Wikis, JIRA, YouTrack) to build a structured knowledge base for LLM integration * Design and implement a Retrieval-Augmented Generation (RAG) pipeline that connects Mosaic IIM's information sources with a large language model * Build and iterate on an AI-powered search and summarization tool that helps business analysts and product users find and extract relevant information faster * Integrate external information sources and tools using modern integration protocols such as MCP (Model Context Protocol) * Develop functionality that allows users to query the current product configuration, e.g. to verify consistency or retrieve configuration details on demand * Collaborate closely with experienced software architects and product experts to understand complex domain logic and translate it into AI-accessible knowledge structures * Support testing and evaluation of the AI tool, including accuracy of retrieved information and quality of generated summaries * Document your solution architecture, integration approach and findings in a clear and reproducible way What we offer * Mentorship from an experienced team * Diverse and challenging projects (internal and client projects) * A stimulating and collaborative environment Your profile * You have completed a bachelor's or master's degree in Computer Science, Data Science, AI or a related field * You have solid knowledge of LLMs, RAG architectures and how to integrate them with existing information sources, ideally including hands-on project experience * You are comfortable with standard development tools and languages such as Java, Python or Angular, and work confidently in environments like IntelliJ * You have a structured, analytical mindset and enjoy breaking down complex systems into understandable components * You work independently, communicate proactively and are motivated to deliver something that has real impact for end users * Fluency in German and English (verbally and written); French is a plus * Experience with developer tools like IntelliJ, Openshift or similar platforms is a plus We believe in strong values and are convinced that diversity is the key to success. Anyone who approaches challenges with curiosity, motivation, and drive is exactly right for us! Let yourself be inspired by our motto: We make it work!

Responsibilities

The intern will design and implement a Retrieval-Augmented Generation (RAG) pipeline to connect product documentation with a large language model. They will also collaborate with architects to build AI-powered search and summarization tools for business analysts.