> Markdown version of [/jobs/ext/2888073-remote-mlops-genai-engineer-build-production-ai](https://www.wearedevelopers.com/jobs/ext/2888073-remote-mlops-genai-engineer-build-production-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Remote Mlops & Genai Engineer: Build Production Ai - **Company:** Driven by Data - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Continuous Integration, Python (Programming Language), Large Language Models, Generative AI, Machine Learning Operations - **Published:** September 13, 2026 - **Apply:** https://www.buscojobs.com.es/remote-mlops-genai-engineer-build-production-ai-en-madrid-ID-371640462 ## About the Role El candidato ideal aporta experiencia en AWS, Python y pipelines RAG para apoyar a otros equipos en la construcción de aplicaciones de IA Generativa con LLMs y agentes autónomos. ## Description Driven by Data busca un/a MLOps/GenAI Engineer para desarrollar, desplegar y mantener funcionalidades de su plataforma de IA Generativa en AWS.El candidato ideal aporta experiencia en AWS, Python y pipelines RAG para apoyar a otros equipos en la construcción de aplicaciones de IA Generativa con LLMs y agentes autónomos.La posición ofrece trabajo 100% remoto, con calendario flexible y salario competitivo.Se valoran conocimientos en Bedrock, Airflow y prácticas CI/CD en entornos productivos.#J-*****-Ljbffr ## Related Videos - [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Containers in the cloud - State of the Art in 2022](https://www.wearedevelopers.com/videos/410-containers-in-the-cloud-state-of-the-art-in-2022) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) ## Related Articles - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)