Senior AI Engineer - Agentic Commerce (All Genders) at zooplus SE

Madrid, Madrid Community, Spain -

Full Time

Start Date

Immediate

Expiry Date

28 Sep, 26

Salary

68000.0

Posted On

30 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, LLM Integration, Prompt Engineering, API Design, Backend Engineering, AI Observability, Azure OpenAI, OpenAI, Bedrock, AI Safety, Structured Outputs, Tool Calling, LangChain, RAG, Infrastructure as Code, NLP

Industry

Retail

Description

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 Description We are looking for a Senior AI Engineer to design, build, and operate production-grade AI applications in our Agentic Commerce Program, shopping area of zooplus. In this role, you will develop backend services and APIs that integrate large language models into business workflows, with a strong focus on reliability, safety, observability, and maintainability. This is an engineering-first role for someone with strong software engineering fundamentals and hands-on experience delivering LLM-powered systems to production. You should be comfortable owning services end to end, adapting them as models and requirements evolve, and helping teams adopt effective AI engineering practices. What you will do: Build and operate production-grade AI services and backend applications in Python Design and implement LLM-powered workflows, including prompt design, context management, structured outputs, and tool calling Define robust contracts for APIs and AI outputs • Test, evaluate, and improve AI services through automated testing, prompt iteration, and measurable evaluation approaches Implement safety and reliability controls such as validation, guardrails, fallbacks, and error handling Monitor and improve production systems using logs, metrics, traces, and AI observability tooling Work closely with product owners, architects, AI teams and domain stakeholders to turn ambiguous use cases into production-ready solutions Continuously improve systems through model upgrades, prompt iteration, and operational optimisation Qualifications What you bring: Strong Python and backend engineering skills for building production-grade services and APIs Proven experience developing and shipping LLM-powered applications in production Strong understanding of prompt engineering, structured outputs, context management, and tool calling Experience integrating foundation models and LLM platforms such as Azure OpenAI, OpenAI, or Bedrock Strong experience in API design, testing, deployment discipline, observability, evaluation, and failure handling Solid practical understanding of AI safety, reliability, and evaluation, including guardrails, fallback patterns, and output validation A pragmatic approach to solving messy real-world problems with clean, maintainable systems • Curious, delivery-focused, and comfortable working in a fast-moving technical landscape Nice to have: Experience designing and operating LLM systems with orchestration frameworks such as LangChain, MCP, RAG, Graph databases Familiarity with platform engineering practices such as Infrastructure as Code and performance testing for production APIs Experience working with Java, Kotlin and/or React Ability to prototype and experiment quickly using tools such as streamlit and Jupyter notebooks Background in applied NLP tasks such as classification or PII detection Additional Information 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. 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. #LI-Hybrid Department: Product & Tech Job Level: 08 Career Stream: Individual Contributor (Expert) Compensation: EUR 45400 - EUR 68000 - yearly

Responsibilities

Design, build, and operate production-grade AI services and backend applications for the Agentic Commerce Program. Develop LLM-powered workflows and implement safety, reliability, and observability controls to ensure maintainable systems.