Company Description

With over 25 years’ experience, plus the same enormous passion and ambition we had on day-one, we’re trailblazers in the pet e-commerce industry. Our solutions make over 12 million customers genuinely happier – and that’s something we really care about. We work together to continually adapt; embracing change and the challenges it brings so that we can keep doing better. Join us and discover a place where your potential meets your passion for pets. That’s the power of plus.

Job Description

As a Software Engineer in our PETS area, you will be responsible for contributing to the integration of AI capabilities across the software development lifecycle (SDLC) to improve engineering productivity, delivery quality, and automation within the PETS area of zooplus. This role focuses on contributing to the development of intelligent developer workflows using Model Context Protocol (MCP), context engineering, LLM orchestration, and AI-driven tooling.
Key Responsibilities
- Contribute to the design and implementation of AI-driven SDLC accelerators such as code generation,



review automation, smart testing, and documentation support.
- Assist in the development of MCP-based extensions and context-aware tools to streamline developer workflows.
- Support the application of context engineering to improve LLM reasoning, accuracy, and relevance across engineering use cases.
- Contribute to building LLM-integrated CI/CD workflows for pull request analysis, test automation, and deployment support.
- Collaborate with engineering, platform, and product teams to support AI adoption opportunities.

Qualifications

Required Qualifications
- A tech-agnostic mindset with good programming experience in one or more of the following languages: Java, Python, JavaScript, or Kotlin.
- Experience with integrating LLMs into engineering or product workflows.
- Familiarity with RAG, embeddings, and vector databases.
- Experience with containerization and orchestration technologies

📌 Software Engineer (Madrid)
🏢 zooplus
📍 Madrid