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.

The Software AI Engineer is 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.

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 like Docker and Kubernetes, and with Infrastructure as Code (Terraform).

• Experience with intelligent test automation and CI/CD pipelines.

Core Competencies

• MCP Engineering: Interest in building modular, context-aware AI tooling.

• Context Engineering: Understanding of how to structure inputs for reliable AI reasoning.

• AI-Augmented Architecture: Eagerness to learn about integrating AI into engineering systems.

• Product Thinking: Ability to identify high-value GenAI use cases.

Headquartered in Munich, with offices across Madrid, Krakow, Wroclaw, London and Vienna, we collaborate because we genuinely love working together - so you’ll be at the heart of an incredible, multinational team. We trust each other to get the job done, which means you’ll benefit from hybrid working, spending 60% of your time in the office and 40% at home. There’s an option to work for 20 days abroad in approved countries too.

Add to that development opportunities that help you to shape your own career path, excellent training and support, wellbeing offers, subsidised transport or bike leasing, plus 20% discount across all our products, and you’ll begin to get a sense of what sets us apart. Find out more about the specific benefits at your local office in our blog posts.

At zooplus, we believe in equal opportunity and support everyone to fulfil their potential. We recognise the power of listening and learning from each other and embrace diversity and inclusion of all.

#LI-Hybrid