AI Platform Engineer: Scalable AI-Driven Software Delivery

Quantion; España; Sur place; EUR 70 000 - 110 000; Plein temps

Avantages offerts par ce poste

23 days vacation

Diverse multicultural team

Good atmosphere

Résumé du poste

Quantion, a Business Digital Transformation services company, seeks senior profiles to design and build AI-powered engineering capabilities and reusable components. You will develop integrations with AI models, tools, and software delivery platforms, while enabling teams to adopt AI-driven software development practices.

Join a multinational team to deliver secure, scalable AI solutions across the software delivery lifecycle, balancing usability, security, and performance in cloud-native

Qualifications

• Bachelor’s degree in computer science or a related field.
• Strong software engineering experience with 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 CI/CD, testing, containerization, and cloud-native development.
• Ability to collaborate effectively with cross-functional technical teams.

Responsabilités

• 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.
• 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.
• Support engineering teams in adopting AI capabilities through documentation and templates.

Connaissances

Bachelor’s degree in computer science

Python

Java

TypeScript

LLMs integration

CI/CD

Containerization

Cloud-native development

Cross-functional collaboration

Formation

Bachelor’s degree in computer science or related field

Outils

Kubernetes

Docker

Cloud platforms

Description du poste

Quantion, a Business Digital Transformation services company, seeks senior profiles to design and build AI-powered engineering capabilities and reusable components. You will develop integrations with AI models, tools, and software delivery platforms, while enabling teams to adopt AI-driven software development practices.

Join a multinational team to deliver secure, scalable AI solutions across the software delivery lifecycle, balancing usability, security, and performance in cloud-native