Pragmatic engineering: working, observable systems > perfect architectures
Nice to have
Familiarity with open-source model ecosystems (LLaMA, Mistral, Mixtral) or inference infra
Experience with safety: prompt injection defense, output validation, agent guardrails
Designed agent test harnesses or synthetic data systems for feedback loops
Experience shipping AI-powered features in real-world data platforms, apps, or products
What you'll be doing
Architect scalable data pipelines and retrieval systems enabling agentic reasoning and tool usage
Build and operationalize RAG data flows — ingest, chunking, embeddings, indexing, and vector search optimization
Develop APIs and data services that allow AI agents to interact with structured/unstructured vendor data in real time
Monitor data quality, drift, and agent performance using automated evaluation and simulation agents
Implement validation, observability, and governance to ensure safe, reliable AI behaviors
Partner with AI and product engineering teams to deliver production-ready intelligence features
Perks and benefits
Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week
We offer 27 days holiday with an extra day on 2nd and 3rd year of service
We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses
Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Gym & Bicycle Subsidy
Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan
The power of getting together over some food is unrivalled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses