Descripción de la oferta
AI Enablement Engineer (m/f/d) Quantion Badajoz, tierra de badajoz (comarca); provincia de badajoz; extremadura, Spain
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 deliveryBuild reusable, AI-enabled solutions to accelerate development productivityIntegrate engineering platforms and developer tools into a coherent AI-driven ecosystemEnable 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.
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 company's 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.
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