
AI Engineer (Ref : 451)
- Hybrid
- LEUDELANGE, Esch-sur-Alzette, Luxembourg
- Informatique
Job description
About the mission
As part of our client's Data & AI transformation, we are looking for an AI Engineer consultant to design, develop, and deploy Artificial Intelligence and generative AI solutions. The consultant will work on high-impact business automation solutions with a focus on development and production deployment.
Desired Skills
• Design, develop, and deploy GenAI solutions: LLM, RAG, agents, copilots, and AI automations.
• Develop robust, performant, and production-oriented AI applications and services in Python.
• Integrate AI models into internal systems via APIs, connectors, databases, and business applications.
• Develop, consume, and document Data/AI APIs.
• Use and maintain a model registry (MLflow or equivalent) for traceability, versioning, and monitoring.
• Collaborate with Data Scientists, Data Engineers, and platform teams to industrialize and deploy models.
• Implement monitoring, optimization, and continuous improvement mechanisms for AI solutions.
• Ensure compliance with security standards, data governance, and AI Act requirements.
• Co-create realistic, measurable AI use cases with business stakeholders aligned with Group priorities.
Job requirements
Your profile:
• Hold a Master's degree in Artificial Intelligence, Data Science, Computer Science, or equivalent.
• Have 3 to 6 years of experience in AI/GenAI development with a strong focus on production deployment.
• Proficient in Python and AI frameworks (LangChain, HuggingFace, or equivalents).
• Have practical experience with LLM, RAG, agents, and integrations via API.
• Possess a good understanding of Machine Learning and its industrialization constraints.
• Comfortable with SQL/NoSQL databases, API consumption, and distributed environments.
• Knowledge of cloud/DevOps (Docker, CI/CD) is a plus.
• Naturally use AI development assistance tools.
• Able to simplify complex concepts and collaborate effectively with non-technical profiles.
• Curious, autonomous, rigorous, and results-oriented.
• Experience in insurance or finance is an advantage.
• Proficient in French and have a professional level of English.
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