Ai Enablement Engineer (M/F/D)

Quantion; Mos; Presencial; EUR 70.000 - 95.000; Jornada completa

Descripción de la vacante

Quantion busca un Ingeniero de Habilitación de IA con experiencia para diseñar y entregar capacidades de IA dentro del ciclo de desarrollo de software, integrando modelos y herramientas de desarrollo.

Trabajará con equipos de ingeniería para crear soluciones reutilizables, definir automatización y gobernanza de flujos IA, y apoyar prácticas de desarrollo basadas en IA.

Se valorará experiencia en Kubernetes y Docker, y capacidad para trabajar en un entorno ágil con entrega continua.

Formación

• Título universitario en informática o campo relacionado.
• Amplia experiencia en ingeniería de software usando Python, Java o TypeScript.
• Experiencia integrando LLMs, APIs de IA o marcos de agentes en sistemas productivos.
• Conocimiento de ingeniería de prompts, RAG, MCP y conceptos de agentes IA.
• Experiencia en prácticas modernas (CI/CD, pruebas, contenedorización y desarrollo nativo en la nube).
• Capacidad para colaborar con equipos técnicos multifuncionales.

Responsabilidades

• Diseñar, construir y mantener capacidades de IA y componentes reutilizables.
• Desarrollar integraciones con modelos de IA y herramientas de desarrollo.
• Diseñar capacidades de plataforma que aceleren la adopción de IA entre equipos.
• Definir niveles de automatización, supervisión humana y gobernanza para flujos con IA.
• Equilibrar usabilidad, fiabilidad, seguridad, coste y rendimiento en soluciones de IA.
• Colaborar con plataformas, DevOps, seguridad y equipos de producto para integrarlo en el ciclo de entrega.

Conocimientos

Python

Java

TypeScript

LLMs integration

Prompt engineering

CI/CD

Testing

Containerization

Cloud-native

Cross-functional teams

Educación

Bachelor’s degree in computer science or related field

Herramientas

Kubernetes

Docker

Cloud platforms

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.

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