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AI engineer

Location:  Madrid

Other locations:  Primary Location Only

Salary: Competitive

Date:  28 Apr 2026

Job description

Requisition ID:  1657218

About Us

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. 

What We Offer

Key Responsibilities

• 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.

Key Requirements & Experience 

• Expertise in server-side technologies: Python/Django, NodeJS, or Java Spring Boot.
• Proficiency in frontend technologies: JavaScript, TypeScript, and frameworks such as Angular 16+ (preferred), React, or Vue.
• 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.

Nice to have:

• Experience with containerization and CI/CD pipelines (Docker, Jenkins, Kubernetes, Ansible, OpenShift).
• Database management: SQL Server, PostgreSQL, MariaDB.
• 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.).
• Azure / Microsoft certifications (AZ-204, AZ-400, AI-102, etc.).
• Understanding of DevOps principles and methodologies.
• Experience implementing LLM-based systems and RAG pipelines for enterprise use cases.

Our commitment to diversity & inclusion 

We are genuinely passionate about inclusion and we support individuals of all groups; we do not discriminate on the basis of race, religion, gender, sexual orientation, or disability status.