AI engineer
EY
AI engineer
Job Description
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
- 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.
Locations
- Madrid, M, ES, 28003
- Madrid, M, ES 28003
Salary
45,000 - 85,000 EUR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Software engineering expertiseintermediate
- Hands-on experience in cloud (Microsoft Azure) environmentsintermediate
- Integration of Large Language Models (LLMs)intermediate
- Retrieval-Augmented Generation (RAG) pipelinesintermediate
- Modern database systemsintermediate
- Python/Djangointermediate
- NodeJSintermediate
- Java Spring Bootintermediate
- JavaScriptintermediate
- TypeScriptintermediate
- Angular 16+intermediate
- Reactintermediate
- Vue.jsintermediate
- SOAP/RESTful API design and integrationintermediate
- Gitintermediate
- Collaborative development practicesintermediate
- Microsoft tech stackintermediate
- Azure Cloud servicesintermediate
- English and Spanish fluencyintermediate
- Strong written and verbal communication skillsintermediate
Required Qualifications
- Expertise in server-side technologies: Python/Django, NodeJS, or Java Spring Boot (experience)
- Proficiency in frontend technologies: JavaScript, TypeScript, and frameworks such as Angular 16+ (preferred), React, or Vue (experience)
- Experience with SOAP/RESTful API design and integration (experience)
- Proficiency in version control (Git) and collaborative development practices (experience)
- Strong understanding of Microsoft tech stack and Azure Cloud services (experience)
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field (experience)
- Minimum 4 years of professional experience in software development (experience)
- Fluency in English and Spanish with strong written and verbal communication skills (experience)
Preferred Qualifications
- Experience with containerization and CI/CD pipelines (Docker, Jenkins, Kubernetes, Ansible, OpenShift) (experience)
- Database management: SQL Server, PostgreSQL, MariaDB (experience)
- Knowledge of NoSQL databases: MongoDB, Elasticsearch, CosmosDB, Solr (experience)
- Cloud architecture and deployment expertise (preferably Azure) (experience)
- Familiarity with Azure AI Services (OpenAI Service, Cognitive Search, etc.) (experience)
- Azure / Microsoft certifications (AZ-204, AZ-400, AI-102, etc.) (experience)
- Understanding of DevOps principles and methodologies (experience)
- Experience implementing LLM-based systems and RAG pipelines for enterprise use cases (experience)
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
Benefits
- general: Work in a vibrant and collaborative environment
- general: Engage directly with Gen AI and Agentic AI solutions
- general: Leverage cutting-edge technologies to drive innovation and transform business insights
- general: Team supports your growth and development
- general: Access to the latest tools and resources
- general: Commitment to diversity and inclusion
Tags & Categories
Answer 10 quick questions to check your fit for AI engineer @ EY.
Related Books and Jobs
AI engineer
EY
AI engineer
Job Description
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
- 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.
Locations
- Madrid, M, ES, 28003
- Madrid, M, ES 28003
Salary
45,000 - 85,000 EUR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Software engineering expertiseintermediate
- Hands-on experience in cloud (Microsoft Azure) environmentsintermediate
- Integration of Large Language Models (LLMs)intermediate
- Retrieval-Augmented Generation (RAG) pipelinesintermediate
- Modern database systemsintermediate
- Python/Djangointermediate
- NodeJSintermediate
- Java Spring Bootintermediate
- JavaScriptintermediate
- TypeScriptintermediate
- Angular 16+intermediate
- Reactintermediate
- Vue.jsintermediate
- SOAP/RESTful API design and integrationintermediate
- Gitintermediate
- Collaborative development practicesintermediate
- Microsoft tech stackintermediate
- Azure Cloud servicesintermediate
- English and Spanish fluencyintermediate
- Strong written and verbal communication skillsintermediate
Required Qualifications
- Expertise in server-side technologies: Python/Django, NodeJS, or Java Spring Boot (experience)
- Proficiency in frontend technologies: JavaScript, TypeScript, and frameworks such as Angular 16+ (preferred), React, or Vue (experience)
- Experience with SOAP/RESTful API design and integration (experience)
- Proficiency in version control (Git) and collaborative development practices (experience)
- Strong understanding of Microsoft tech stack and Azure Cloud services (experience)
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field (experience)
- Minimum 4 years of professional experience in software development (experience)
- Fluency in English and Spanish with strong written and verbal communication skills (experience)
Preferred Qualifications
- Experience with containerization and CI/CD pipelines (Docker, Jenkins, Kubernetes, Ansible, OpenShift) (experience)
- Database management: SQL Server, PostgreSQL, MariaDB (experience)
- Knowledge of NoSQL databases: MongoDB, Elasticsearch, CosmosDB, Solr (experience)
- Cloud architecture and deployment expertise (preferably Azure) (experience)
- Familiarity with Azure AI Services (OpenAI Service, Cognitive Search, etc.) (experience)
- Azure / Microsoft certifications (AZ-204, AZ-400, AI-102, etc.) (experience)
- Understanding of DevOps principles and methodologies (experience)
- Experience implementing LLM-based systems and RAG pipelines for enterprise use cases (experience)
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
Benefits
- general: Work in a vibrant and collaborative environment
- general: Engage directly with Gen AI and Agentic AI solutions
- general: Leverage cutting-edge technologies to drive innovation and transform business insights
- general: Team supports your growth and development
- general: Access to the latest tools and resources
- general: Commitment to diversity and inclusion
Tags & Categories
Answer 10 quick questions to check your fit for AI engineer @ EY.
Related Books and Jobs