LLM Solutions Engineer

il y a 5 jours

Luxembourg, Luxembourg Cronos Europa Temps plein 80.000 € - 120.000 € par an

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, , 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

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