Experteer Overview Puede obtener más detalles sobre la naturaleza de esta vacante y lo que se espera de los solicitantes leyendo la información a continuación. In this role you will embed AI capabilities across the software development lifecycle to boost engineering productivity, delivery quality, and automation for the Acquisition u0026amp; Retention domain at zooplus. You will build intelligent developer workflows using MCP, context engineering, LLM orchestration, and AI-driven tooling. You collaborate with engineering, platform, and product teams to scale AI adoption and deliver high-value GenAI use cases. This is a hands-on position at a multinational, hybrid-enabled company focused on transforming engineering with AI. You’ll work on impactful AI accelerators and tooling that shape how engineers build and deploy software.Compensaciones / Ventajas• Design and implement AI-driven SDLC accelerators (code generation, review automation, smart testing,



documentation support)• Develop MCP-based extensions and context-aware tools to streamline developer workflows• Apply context engineering to improve LLM reasoning, accuracy, and relevance• Build LLM-integrated CI/CD workflows for PR analysis, test automation, and deployment support• Collaborate with engineering, platform, and product teams to identify and scale AI adoption opportunitiesResponsabilidades• Tech-agnostic mindset with strong programming in Java, Python, JavaScript, or Kotlin (or broad working knowledge across these)• Hands-on experience integrating LLMs xcskxlj into engineering or product workflows• Good understanding of RAG, embeddings, and vector databases• Experience with Docker, Kubernetes, and Terraform• Experience with intelligent test automation and CI/CD pipelinesRequisitos principales• hybrid working (60% in office, 40% at home)• opportunity to work abroad up to 20 days• development opportunities• excellent training and support• wellbeing offers• subsidised transport or bike leasing

📌 Senior AI Engineer (All Genders) (Madrid)
🏢 zooplus
📍 Madrid