AI engineer
EYSpain6 days ago
Full-timeEngineering, Information Technology
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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
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-edge 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.
Key Responsibilities
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.
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
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-edge 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.
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.
- 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.
- 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.
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.
Key Skills
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