AI Platform / MLOps Engineer La siguiente información ofrece un resumen de las habilidades, cualidades y cualificaciones necesarias para este puesto. Barcelona, Spain (2 days onsite per week) We're partnering with an innovative technology business building large-scale AI capabilities and are looking for an AI Platform / MLOps Engineer to help scale and operate production AI systems. This is a highly technical engineering role focused on AI infrastructure, ML platforms, automation and operational excellence — ideal for someone coming from a strong Platform Engineering, DevOps or ML Infrastructure background. You'll play a key role in designing and running scalable AI environments that support modern machine learning and LLM-based applications in production. Key responsibilities: • Build and operate scalable ML/AI platforms across training, inference and deployment pipelines • Manage and optimise tooling including SageMaker, MLflow, feature stores and related MLOps platforms • Develop CI/CD pipelines for ML models and AI applications • Create reliable training and inference environments for production workloads • Improve observability, monitoring, reliability and cost efficiency across AI systems • Support modern LLM and agentic AI frameworks including LangChain, LangFuse and related tooling • Work closely with engineering, platform and AI teams to improve automation and scalability xohynlm Requirements: • Strong background in Platform Engineering, DevOps, SRE or ML Infrastructure • Hands-on AWS and Terraform experience • Strong CI/CD and infrastructure automation experience • Experience supporting ML platforms and production AI systems • Exposure to LLM tooling, agentic frameworks or modern AI application stacks • Strong understanding of reliability, scalability and operational best practices