LLM Solutions Engineer

Job Description

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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.

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Near-site position requiring ability to reach Luxembourg premises within approximately 2 hours.

Occasional on-site presence required for meetings.

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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.

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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.

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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!