Generative AI Engineer | LLMs, RAG & Production AI

Harvey Nash; Brussel Hoofdstad; Sur place; EUR 55 000 - 90 000; Plein temps

Résumé du poste

Harvey Nash is seeking a Medior AI Engineer to design, develop and deploy AI solutions, focusing on Generative AI, LLMs, and RAG. You will work with data scientists, engineers and business experts to deliver production-ready applications.

You will translate business needs into scalable AI products, apply DevOps and MLOps practices, and communicate complex concepts to technical and non-technical stakeholders.

Qualifications

• Master's degree in Artificial Intelligence, Computer Science, Engineering, Data Science or a related technical field
• 2+ years of experience in AI/ML engineering, including experience contributing to the development and deployment of AI solutions in production environment

Responsabilités

• Develop AI and Generative AI applications using modern technologies and frameworks
• Translate business requirements into practical AI solutions
• Develop LLM-based applications and RAG solutions
• Contribute to the design and implementation of Agentic AI workflows
• Prototype, test and validate AI solutions with business stakeholders
• Deploy, monitor and maintain AI applications in production
• Apply software engineering, DevOps and MLOps best practices
• Communicate results and technical concepts to both technical and non-technical audiences
• Contribute to knowledge sharing and continuous improvement within the team

Connaissances

Python

AI & Generative

LLM frameworks LangChain

LlamaIndex

Agentic AI

RAG solutions

Prompt engineering

LLM evaluation

Azure cloud

Git/GitHub

CI/CD pipelines

MLOps

Communication skills

Formation

Master's degree in AI/CS/Engineering/Data Science

Outils

Azure

MLflow

GitHub Actions

DevOps tools

LangChain

Description du poste

Harvey Nash is seeking a Medior AI Engineer to design, develop and deploy AI solutions, focusing on Generative AI, LLMs, and RAG. You will work with data scientists, engineers and business experts to deliver production-ready applications.

You will translate business needs into scalable AI products, apply DevOps and MLOps practices, and communicate complex concepts to technical and non-technical stakeholders.