ph3Job Description /h3pThe bSenior AI Engineer /b 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 bModel Context Protocol (MCP) /b, context engineering, LLM orchestration, and AI-driven tooling. /ph3Key Responsibilities /h3ulliDesign and implement AI-driven SDLC accelerators such as code generation, review automation, smart testing, and documentation support. /liliDevelop bMCP-based extensions /b and context-aware tools to streamline developer workflows. /liliApply bcontext engineering /b to improve LLM reasoning, accuracy, and relevance across engineering use cases. /liliBuild LLM-integrated CI/CD workflows for pull request analysis, test automation, and deployment support. /liliCollaborate with engineering, platform, and product teams to identify and scale AI adoption opportunities. /li /ulh3Qualifications /h3pRequired Qualifications /pulliTech-agnostic mindset with strong programming experience in one or more of the following languages: bJava, Python, JavaScript, or Kotlin /b, or broad working knowledge across multiple of these languages. /liliHands‑on experience integrating LLMs into engineering or product workflows. /liliGood understanding of bRAG, embeddings, and vector databases /b. /liliExperience with Docker, Kubernetes, and Terraform. /liliExperience with intelligent test automation and CI/CD pipelines. /li /ulpCore Competencies /pullibMCP Engineering /b – building modular,



context‑aware AI tooling /lilibContext Engineering /b – structuring inputs for reliable AI reasoning /lilibAI‑Augmented Architecture /b – integrating AI into engineering systems /lilibProduct Thinking /b – identifying high‑value GenAI use cases /li /ulh3Additional Information /h3pHeadquartered 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. /ppAdd 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. /ppA 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. /ppAt 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. /p /p #J-18808-Ljbffr

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