> Markdown version of [/jobs/ext/1307823-ai-engineer](https://www.wearedevelopers.com/jobs/ext/1307823-ai-engineer). 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). --- # AI Engineer - **Company:** Frontiers Media S.A. - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, Information Engineering, Data Governance, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, SQL Databases, User-Centered Design, Workflow Management Systems, Data Processing, Google Cloud, Large Language Models, Prompt Engineering, Kubernetes, Deployment Automation, Machine Learning Operations, Terraform, Docker - **Published:** July 17, 2026 - **Apply:** https://www.adzuna.es/contact-us.html ## About the Role + Typically 3-5+ years of professional AI experience, demonstrating a successful track record of developing and deploying enterprise-scale AI systems. + Strong proficiency in Python, SQL, cloud platforms (e.g., AWS, Azure, GCP), and container orchestration tools (Docker, Kubernetes). + Extensive practical experience with production ML frameworks, advanced LLM models, fine-tuning, prompt engineering, performance optimization, and orchestration tools (Apache Airflow). + Exceptional communication, with expertise communicating complex technical concepts clearly across all stakeholder levels. + Proven problem-solving excellence and ability to continuously adapt, learn, and integrate evolving AI techniques. Nice-to-Have Skills: + Proven ability in infrastructure as code (Terraform) for scalable AI solutions, sophisticated system design, and data governance practices. + Demonstrable experience in secure and robust AI deployments. + Deep interest and experience in generative AI, LLM innovation, and continuous professional knowledge-building. ## Description We seek an exceptional AI Engineer to contribute to the end-to-end design, development, and deployment of strategic AI initiatives. You will play a critical role in architecting scalable, robust, and secure AI and LLM-powered solutions, significantly impacting business operations and strategic decision-making. In this role, you will work in cross-functional teams, and participate in key technical decisions involving complex data engineering, advanced ML models, and next-generation LLM methodologies., + Contribute defining comprehensive, scalable AI architectures, and to develop complex integration of data processing, traditional machine learning, and emerging LLM methodologies. + Support deployment, monitoring, and continuous optimization of ML pipelines and LLM models in production contexts. + Actively align technical innovation with organizational business strategies and OKRs, collaborating closely with stakeholders across multiple functions. + Adopt and promote quality and excellence, contributing to documentation and knowledge-sharing. + Contribute to troubleshooting and complex problem-solving efforts, ensuring robust and reliable ML systems and LLM deployments. ## Related Videos - [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) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform) - [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) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? 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