AI engineer

Ernst & Young Advisory Services Sdn Bhd; Madrid; Presencial; EUR 55.000 - 75.000; Jornada completa

Descripción de la vacante

A global consulting firm in Madrid is seeking a Senior AI Engineer to design and deploy AI-powered software solutions. Candidates should have strong software engineering knowledge, ideally in Python/Django, and hands-on experience in cloud environments like Microsoft Azure. The role involves integrating Large Language Models and building scalable applications, making it ideal for innovative tech enthusiasts.

Formación

• Minimum 4 years of professional experience in software development.
• Strong understanding of Microsoft tech stack and Azure Cloud services.
• Experience with containerization and CI/CD pipelines.

Responsabilidades

• Design and implement scalable, secure, and maintainable full-stack applications.
• Integrate LLMs and RAG architectures into production systems.
• Develop backend services using Python/Django, NodeJS, or Java Spring Boot.

Conocimientos

Python/Django

NodeJS

Java Spring Boot

RESTful API design

SOAP API integration

Microsoft Azure

Git

Fluency in English

Fluency in Spanish

Educación

Bachelor’s or Master’s degree in Computer Science

Herramientas

Docker

Kubernetes

Jenkins

Ansible

OpenShift

MongoDB

Elasticsearch

CosmosDB

Solr

Descripción del empleo

Overview

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.
• 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).
• 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.

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.

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