Ai Enablement Engineer (M/F/D)

Quantion; Marbella; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

Quantion busca un perfil sénior para diseñar, desarrollar e integrar capacidades de IA en nuestra plataforma de ingeniería. Trabajarás con modelos de IA, herramientas de desarrollo y procesos de entrega de software para construir soluciones reutilizables y escalables.

Colaborarás con equipos de plataforma, DevOps y seguridad para incorporar capacidades de IA en el ciclo de vida de entrega, promoviendo buenas prácticas, gobernanza y adopción entre equipos de ingeniería.

Formación

• Título universitario en ciencias de la computación o campo relacionado.
• Sólida experiencia en desarrollo con Python, Java o TypeScript.
• Experiencia integrando LLMs, APIs de IA o marcos de agentes en sistemas en producción.
• Comprensión de prompt engineering, RAG, MCP y conceptos de agentes de IA.
• Experiencia con CI/CD, pruebas, contenedorización y desarrollo nativo en la nube.
• Habilidad para colaborar con equipos técnicos transfuncionales.

Responsabilidades

• Diseñar, construir y mantener capacidades de IA en servicios de producción.
• Desarrollar integraciones con modelos de IA, herramientas de desarrollo y plataformas de entrega de software.
• Diseñar capacidades reutilizables de plataforma para acelerar la adopción de IA entre equipos.
• Definir niveles de automatización, supervisión humana y gobernanza de flujos de IA.
• Balancear usabilidad, fiabilidad, seguridad, coste y rendimiento de soluciones IA.

Conocimientos

Python

Java

TypeScript

Cross-functional collaboration

Prompt engineering

MCP understanding

Educación

Bachelor’s degree in computer science or related field

Herramientas

Kubernetes

Docker

Cloud platforms

LLMs

AI APIs

Git

Descripción del empleo

Descripción del trabajo

Who we are?

Quantion is a Business Digital Transformation services company founded in 2015 and part of the Astek Group group operating in more than 25 countries with over 10,000 employees worldwide.

Our team is specialized in application development, UX/UI, and digital business transformation, focused on building innovative solutions that drive measurable business results.

We combine our teams in cutting-edge technologies and digital deep experiences with the innovation ecosystem, to ensure that we can provide the best solution to face business challenges, from its concept to its implementation.

We are seeking senior profiles with strong hands-on experience to:

• Design, develop, and integrate AI-powered engineering capabilities that enable secure, scalable, and efficient software delivery
• Build reusable, AI-enabled solutions to accelerate development productivity
• Integrate engineering platforms and developer tools into a coherent AI-driven ecosystem
• Enable and support engineering teams in adopting AI-assisted software development practices

Key Responsibilities

• Design, build, and maintain AI-powered engineering capabilities, workflows, and reusable components.
• Develop integrations with AI models, developer tools, and software delivery platforms.
• Design reusable platform capabilities that accelerate the adoption of AI across engineering teams.
• Define appropriate levels of automation, human oversight, and governance for AI-enabled workflows.
• Balance usability, reliability, security, cost, and performance when designing AI solutions.

Platform Engineering & Operations

• Develop production-ready, observable, and maintainable AI-enabled services.
• Implement testing, CI/CD, monitoring, logging, and operational best practices for AI solutions.
• Collaborate with platform, DevOps, security, and product teams to integrate AI capabilities into the software delivery lifecycle.

Adoption & Enablement

• Support engineering teams in adopting AI capabilities through documentation, reusable templates, and best practices.
• Gather user feedback and continuously improve AI capabilities based on adoption and engineering needs.
• Contribute to engineering standards, reusable patterns, and governance for AI-enabled software development.

Required Qualifications

• Bachelor’s degree in computer science or a related field.
• Strong software engineering experience using languages such as Python, Java, or TypeScript.
• Experience integrating LLMs, AI APIs, or agent frameworks into production systems.
• Understanding of prompt engineering, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and AI agent concepts.
• Experience with modern software engineering practices including CI/CD, testing, containerization, and cloud-native development.
• Ability to collaborate effectively with cross-functional technical teams.

Preferred Qualifications

• Experience building reusable developer platforms or internal engineering tools.
• Experience with local LLMs.
• Experience with Kubernetes, Docker, and cloud platforms.
• Understanding of responsible AI, security, and governance practices.
• Experience driving adoption of new engineering technologies within large organizations.