Senior AI Engineer

3w3 weeks ago

zooplus SE

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

About this role

zooplus SE, trailblazers in pet e-commerce with over 25 years’ experience, serves 12 million customers with passion. Join the Agentic Commerce Program as a Senior AI Engineer to design, build, and operate production-grade AI applications. This engineering-first role focuses on backend services integrating large language models into business workflows.

Develop reliable AI services emphasizing safety, observability, and maintainability using Python. Handle LLM-powered workflows including prompt design, context management, structured outputs, and tool calling. Own services end-to-end, adapting to evolving models and requirements.

Collaborate closely with product owners, architects, AI teams, and domain stakeholders to transform ambiguous use cases into production-ready solutions. Work in a multinational team across Munich, Madrid, Krakow, Wroclaw, London, and Vienna. Benefit from a trust-based environment where teams embrace change.

Continuously improve systems through model upgrades, prompt iteration, and operational optimization. Help teams adopt effective AI engineering practices in a fast-moving technical landscape. Discover a place where your potential meets your passion for pets.

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
Collaborate in a multinational team across Munich, Madrid, Krakow, Wroclaw, London, and Vienna
Trust-based environment where teams get the job done