AI engineer
Ernst and Young11 days ago
Madrid, SpainSenior
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 for AI-driven functionality.
- Develop backend services using Python/Django, NodeJS, or Java Spring Boot.
- Create interactive frontends using Angular, React, or Vue.
- Design and consume RESTful and SOAP APIs.
- Deploy and monitor applications in Azure Cloud using Azure services for AI, data, and DevOps.
- Collaborate with product teams on requirements, architecture, and solution quality.
- Contribute to code quality, testing, CI/CD, and infrastructure automation best practices.
Requirements
- At least four years of professional software development experience.
- Expertise with Python/Django, NodeJS, or Java Spring Boot.
- Proficiency in JavaScript, TypeScript, and frontend frameworks such as Angular, React, or Vue.
- Experience designing and integrating SOAP and RESTful APIs.
- Proficiency with Git and collaborative development practices.
- Strong understanding of the Microsoft technology stack and Azure Cloud services.
- Bachelor’s or master’s degree in Computer Science, Software Engineering, or a related field.
- Fluency in English and Spanish with strong written and verbal communication skills.
- Preferred experience with Docker, Jenkins, Kubernetes, Ansible, or OpenShift.
- Preferred experience with SQL Server, PostgreSQL, MariaDB, MongoDB, Elasticsearch, CosmosDB, or Solr.
- Preferred familiarity with Azure AI Services, including OpenAI Service and Cognitive Search.
- Azure or Microsoft certifications such as AZ-204, AZ-400, or AI-102 are preferred.
- Preferred experience implementing LLM-based systems and RAG pipelines for enterprise use cases.
Benefits
- Collaborative, multicultural work environment at EY wavespace Madrid’s AI & Data Hub.
- Growth and development support with access to the latest tools and resources.
- Commitment to diversity and inclusion without discrimination based on race, religion, gender, sexual orientation, or disability status.
Tech Stack
AngularAnsibleAzureDjangoDockerElasticsearchGitJavaJavaScriptJenkinsKubernetesMariaDBMicrosoft SQL ServerMongoDBNode.jsOpenShiftPostgreSQLPythonReactSOAPSpring BootTypeScriptVue.js
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