Senior AI Engineer

3w3 weeks ago

zooplus SE

Madrid, ES · Full-time · €60,000 – €90,000

About this role

With over 25 years’ experience, zooplus SE are trailblazers in the pet e-commerce industry, making over 12 million customers genuinely happier. 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. This engineering-first role focuses on backend services and APIs integrating large language models into business workflows.

You will develop backend services in Python, design LLM-powered workflows including prompt design, context management, structured outputs, and tool calling. Define robust contracts for APIs and AI outputs, test and evaluate through automated testing and prompt iteration. Implement safety controls like validation, guardrails, fallbacks, and error handling.

Monitor 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. Headquartered in Munich with offices across Madrid, Krakow, Wroclaw, London, and Vienna.

Own services end to end, adapting as models and requirements evolve. Help teams adopt effective AI engineering practices with a focus on reliability, safety, observability, and maintainability. Benefit from hybrid working, spending 60% of your time in the office within an incredible multinational team.

Requirements

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

Responsibilities

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

Benefits

Hybrid working, spending 60% of your time in the office
Join an incredible multinational team across Munich, Madrid, Krakow, Wroclaw, London, and Vienna
Collaborate because we genuinely love working together
Work in a place where your potential meets your passion for pets