Artificial Intelligence Engineer

Senior AI Engineer (LLMs / MLOps) Location: Hybrid – Madrid (1–2 days/week) or Remote in Spain We are currently looking for a Senior AI Engineer to join a growing Data & AI team. The focus of this role will be on building and deploying Large Language Model (LLM) applications, with a strong emphasis on RAG (Retrieval-Augmented Generation) pipelines and MLOps best practices. What you’ll be working on Designing and delivering end-to-end AI/ML solutions, from experimentation through production. Developing and optimizing LLM-powered systems, especially RAG applications. Implementing MLOps pipelines (CI/CD, monitoring, model governance, lifecycle management). Leveraging Google Cloud Platform (GCP) services for scalable AI solutions. Collaborating with data, engineering, and product teams to integrate AI into products and workflows. Staying up to date with new frameworks and tools in the AI/LLM ecosystem. Requirements 5 years as an AI Engineer, Machine Learning Engineer, or similar role. 3 years working hands-on with GCP (Google Cloud Platform). Strong background in PyTorch or TensorFlow. Proven expertise in MLOps (automation, deployment pipelines, monitoring). Experience with LLMs, especially in RAG-based deployments. Fluent English (Spanish or French a plus). Nice-to-Have Experience with LangChain or LangGraph . Knowledge of dbt for data transformation.

Location: Madrid, Community of Madrid, ES

Posted Date: 10/25/2025