We are looking for an LLM Solutions Engineer to design, develop and deploy application prototypes based on Large Language Models. The role involves building end-to-end LLM workflows, integrating retrieval-augmented generation (RAG), ensuring secure cloud deployment, and collaborating with technical and non-technical stakeholders in a multicultural environment.
Near-site position requiring ability to reach Luxembourg premises within approximately 2 hours.
Occasional on-site presence required for meetings.
Responsibilities
Design the logic, workflow, and architecture of LLM-based application prototypes for various use cases involving multimodal inputs and text-generation outputs.
Develop and maintain prototypes using proprietary LLMs (Azure Openai) or locally hosted models (Huggingface).
Build and maintain vector databases for RAG, including embeddings, vectorisation, chunking, semantic similarity, ranking, and retrieval workflows.
Implement and maintain end-to-end cloud deployments, particularly in Azure.
Ensure implementation of security and data protection best practices.
Perform testing, debugging, and optimisation of prototypes.
Deliver clear, structured technical documentation.
Conduct technology watch on LLMs, cloud technologies, and new frameworks.
Participate in project coordination, operational meetings, and occasional user meetings.
Work collaboratively with cross-functional teams in an international environment.
Understand user needs and ensure solutions meet both technical and functional expectations.
Profile
Bachelor's degree
Strong knowledge of Large Language Models and LLM-based application architecture.
Proficiency in Python and JavaScript/TypeScript.
Good knowledge of Angular, HTML, CSS, Node.js, and web application design.
Experience with Azure Openai (Amazon Bedrock is an asset).
Experience with vector stores/databases and embedding techniques for RAG.
Familiarity with Langchain, Llamaindex or similar LLM frameworks is an asset.
Knowledge of REST, SOAP, GIT, and software architecture best practices.
Ability to troubleshoot efficiently in rapidly evolving cloud and distributed system environments.
Relevant technical certifications (cloud, development, AI/LLM, security) are considered an asset.
Why cronos group?
We'll propose you:
An attractive salary package
A good work-life balance environment
The assurance of working in cutting-edge technologies in an entrepreneurial spirit.
The opportunity to develop your skills thanks to tailor-made training courses according to your needs
A good job in a friendly place.
If you wish to integrate a dynamic structure on a human scale while working with the latest technologies, don't wait anymore and join Cronos!