AI Engineer

Join our Data & AI Hub, where you will have the chance to work in a vibrant and collaborative environment. You will engage directly with Gen AI and Agentic AI solutions, where you’ll leverage cutting-edge technologies to drive innovation and transform business insights. Our team supports your growth and development, providing access to the latest tools and resources. We are looking for a Senior AI Engineer to design, develop, and deploy cutting-off AI-powered software solutions. The ideal candidate combines strong software engineering expertise with hands-on experience in cloud (Microsoft Azure) environments and the integration of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and modern database systems., * Design and implement scalable, secure, and maintainable full-stack applications.

• Integrate LLMs and RAG architectures into production systems using APIs or custom frameworks.
• Build and manage data pipelines and vector databases to support AI-driven functionalities.
• Develop backend services using Python/Django, NodeJS, or Java Spring Boot.
• Create rich, interactive frontends using Angular 16+ (preferred), React, or Vue.js.
• Design and consume RESTful and SOAP APIs.
• Deploy and monitor applications in Azure Cloud, leveraging Azure services for AI, data, and DevOps.
• Collaborate with product teams to define requirements, propose architectures, and ensure solution quality.
• Contribute to best practices in code quality, testing, CI/CD, and infrastructure automation.

• Expertise in server-side technologies: Python/Django, NodeJS, or Java Spring Boot.
• Experience with SOAP/RESTful API design and integration.
• Proficiency in version control (Git) and collaborative development practices.
• Strong understanding of Microsoft tech stack and Azure Cloud services.
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• Minimum 4 years of professional experience in software development.
• Fluency in English and Spanish with strong written and verbal communication skills., * Experience with containerization and CI/CD pipelines (Docker, Jenkins, Kubernetes, Ansible, OpenShift).
• Knowledge of NoSQL databases: MongoDB, Elasticsearch, CosmosDB, Solr.
• Cloud architecture and deployment expertise (preferably Azure).
• Familiarity with Azure AI Services (OpenAI Service, Cognitive Search, etc.).
• Understanding of DevOps principles and methodologies.
• Experience implementing LLM-based systems and RAG pipelines for enterprise use cases.

At EY wavespace Madrid - AI & Data Hub, we are a diverse, multicultural team at the forefront of technological innovation, working with cutting-edge technologies like Gen AI, data analytics, robotics, etc. Our center is dedicated to exploring the future of AI and Data.