Company Description With over 25 years experience plus the same enormous passion and ambition we had on day-one were trailblazers in the pet e-commerce industry. Our solutions make over 12 million customers genuinely happier - and thats 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. Thats the power of plus.

The Senior AI Engineer is responsible for embedding AI capabilities across the software development lifecycle (SDLC) to improve engineering productivity delivery quality and automation within Acquisition Retention area of zooplus. The role focuses on building intelligent developer workflows using Model Context Protocol (MCP) context engineering LLM orchestration and AI-driven tooling.

Key Responsibilities - Design and implement AI-driven SDLC accelerators such as code generation review automation smart testing and documentation support.

- Develop MCP-based extensions and context-aware tools to streamline developer workflows.
- Apply context engineering to improve LLM reasoning accuracy and relevance across engineering use cases.
- Build LLM-integrated CI/CD workflows for pull request analysis test automation and deployment support.
- Collaborate with engineering platform and product teams to identify and scale AI adoption opportunities.

Qualifications Required Qualifications - Tech-agnostic mindset with strong programming experience in one or more of the following languages Java Python JavaScript or Kotlin or broad working knowledge across multiple of these languages.

- Hands-on experience integrating LLMs 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 pipelines. Core Competencies - MCP Engineering - building modular context-aware AI tooling - Context Engineering - structuring inputs for reliable AI reasoning - AI-Augmented Architecture - integrating AI into engineering systems - Product Thinking - identifying high-value GenAI use cases Additional Information Headquartered in Munich with offices across Madrid Krakow Wroclaw London and Vienna we collaborate because we genuinely love working together - so youll be at the heart of an incredible multinational team. We trust each other to get the job done which means youll benefit from hybrid working spending 60 of your time in the office and 40 at home. Theres 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 youll 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. A note on compensation We believe in being transparent about salary ranges. The range shown reflects the full scope that the role can grow into over time depending on experience skills and impact. Most offers are positioned around the midpoint of the range ensuring a fair and consistent approach across our teams. 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. Videos To Watch https//www.youtube.com/watchvE9QjLMA3jOY

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