Zo Senior Ai Engineer - Sdlc (All Genders) Zooplus Se * Madrid Híbrido · 2 Días En Casa · Muni[...]

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 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 systems Define production-ready patterns for agentic systems, including planning, memory, recovery, and safety mechanisms Drive AI-powered SDLC initiatives across coding, testing, review, and release intelligence Build reusable MCP-based capability layers for scalable AI adoption across teams Own context engineering practices including grounding, retrieval, memory, and evaluation Establish observability, governance, and guardrails for LLM integrations Collaborate across engineering, product, platform, security, and data teams Act as technical lead for complex initiatives and critical design decisions QualificationsWhat You Bring5+ years of software engineering experience in distributed systems Strong experience with microservices and event-driven architectures 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 HaveExperience 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 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.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#J-*****-Ljbffr

5+ years of software engineering experience in distributed systems Strong experience with microservices and event-driven architectures 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.

Madrid, España

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. 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 #J-*****-Ljbffr