Senior Ai Engineer - Sdlc (All Genders)

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 DescriptionWe are looking for a Senior Agentic AI Engineer to shape and scale AI?powered engineering capabilities across the shopping area of zooplus.This role combines deep hands?on engineering with technical leadership, driving the adoption of AI?enabled development practices and agentic systems across business?critical platforms.You will help define how AI is embedded into engineering workflows and production systems, ensuring scalable, secure, and measurable impact across teams.What You’ll DoLead architecture and delivery of AI and agentic platforms across engineering and commerce systemsDefine production?ready patterns for agentic systems, including planning, memory, recovery, and safety mechanismsDrive AI?powered SDLC initiatives across coding, testing, review, and release intelligenceBuild reusable MCP?based capability layers for scalable AI adoption across teamsOwn context engineering practices including grounding, retrieval, memory, and evaluationEstablish observability, governance, and guardrails for LLM integrationsCollaborate across engineering, product, platform, security, and data teamsAct as technical lead for complex initiatives and critical design decisionsQualifications5+ years of software engineering experience in distributed systemsStrong experience with microservices and event?driven architecturesTech?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 languagesProduction experience with LLM integrations (Azure OpenAI, OpenAI, Bedrock)Strong understanding of RAG systems, embeddings, retrieval, and vector databasesExperience with Docker, Kubernetes, Terraform, and CI/CD pipelinesProven technical leadership across teamsNice to HaveExperience with LangChain, LlamaIndex, AutoGen, CrewAI, or Semantic KernelExposure to experimentation and feature flag platformsStrong understanding of AI security, privacy, and cost optimisationExperience in retail, commerce, or high?scale consumer platformsWhy This Role MattersThis role will help shape how zooplus moves AI from experimentation into reliable production systems that improve engineering velocity and business outcomes.Additional InformationHeadquartered 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.You’ll benefit from hybrid working: 60% of your time in the office and 40% at home, with an option to work for 20 days abroad in approved countries.Development opportunities help you shape your own career path, and we offer excellent training and support, wellbeing offers, subsidised transport or bike leasing, and a 20% discount across all our products.CompensationA 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.Equal Opportunity StatementAt 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.#J-*****-Ljbffr

5+ years of software engineering experience in distributed systems Strong experience with microservices and event?driven architectures 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 Production experience with LLM integrations (Azure OpenAI, OpenAI, Bedrock) Strong understanding of RAG systems, embeddings, retrieval, and vector databases Experience with Docker, Kubernetes, Terraform, and CI/CD pipelines Proven technical leadership across teams Nice to Have Experience with LangChain, LlamaIndex, AutoGen, CrewAI, or Semantic Kernel Exposure to experimentation and feature flag platforms Strong understanding of AI security, privacy, and cost optimisation Experience in retail, commerce, or high?scale consumer platforms Why This Role Matters This role will help shape how zooplus moves AI from experimentation into reliable production systems that improve engineering velocity and business outcomes.

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. Equal Opportunity Statement 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. #J-*****-Ljbffr

Madrid, España

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., 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.