Ai Enablement Engineer (M/F/D)

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

Descripción de la vacante

Quantion busca un Ingeniero de Habilitación de IA para diseñar, construir e integrar capacidades de IA en flujos de entrega de software. Trabajará con equipos de plataforma, DevOps y seguridad para promover prácticas de desarrollo asistidas por IA.

Se valorará experiencia con LLMs, APIs de IA y herramientas de desarrollo modernas, así como un enfoque en gobernanza y escalabilidad en un entorno multinacional.

Formación

• Título universitario en informática o campo relacionado y experiencia en desarrollo de software.
• Experiencia integrando LLMs, APIs de IA o marcos de agentes en sistemas de producción.
• Conocimiento de ingeniería de software moderna: CI/CD, pruebas, contenedores y desarrollo en la nube.

Responsabilidades

• Diseñar, construir y mantener capacidades de IA para ingeniería y flujos de trabajo.
• Desarrollar integraciones con modelos de IA, herramientas de desarrollo y plataformas de entrega de software.
• Definir niveles de automatización, supervisión humana y gobernanza para flujos de IA.
• Colaborar con equipos de plataforma, DevOps, seguridad y producto para integrar IA en el ciclo de vida de entrega de software.

Conocimientos

Python

Java

TypeScript

CI/CD

LLMs integration

Prompt engineering

Containerization

Cloud-native development

Educación

Bachelor's degree in computer science

Herramientas

Kubernetes

Docker

Cloud platforms

Descripción del empleo

AI Enablement Engineer (m/f/d) Quantion castilla la mancha, es

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.

Apply to our offer…

• If you are passionate about technologies
• If you define yourself as a team worker
• If you want to work with a multidisciplinary and international team
• If you want to be part of a company which is permanently expanding and growing
• If you want to work in an international environment

Our offering:

• You will grow professionally in a company in constant development and evolution.
• You will benefit from a personalized follow-up of your professional projects as close as possible to your ambitions.
• You will make a real contribution to the companys development in real time.
• You will enjoy 23 days of vacation
• You will join our team: diverse, multicultural and constantly growing.
• You will have days full of good energy and good atmosphere.