Interview questions
Interviewing at Riverflex
Riverflex is a digital consultancy based in Amsterdam focused on building scalable, user-centered digital solutions. They support business transformation by developing client-facing products, internal tools, and prototypes that leverage modern web frameworks, cloud platforms, and AI technologies such as LLMs and RAG. The company is at a scale-up phase and fosters a collaborative agile culture emphasizing ownership and technical excellence.
Can you quickly walk me through a recent project where you took ownership from concept to production, and what made your contribution unique to its success?
AI Full-Stack Product Engineer (Mid-Level)
Tell me about how you architected AgentNorth, focusing on persistent agent memory and auditability. What were the hardest technical problems, and how did you solve them?
AI Full-Stack Product Engineer (Mid-Level)
How have you delivered agentic workflows or multi-step LLM pipelines into production? Give a concrete example and walk through error handling and tool chaining.
AI Full-Stack Product Engineer (Mid-Level)
Describe how you’ve integrated real-time AI/ML fraud detection in a banking product, highlighting architecture and security controls.
AI Full-Stack Product Engineer (Mid-Level)
You have worked with Docker, Kubernetes, and AWS. Can you describe a production deployment pipeline you owned and any CI/CD improvements you spearheaded?
AI Full-Stack Product Engineer (Mid-Level)
Design a multi-tenant SaaS where each client’s data is isolated and custom features can be rolled out per client. What patterns and tools would you use?
AI Full-Stack Product Engineer (Mid-Level)
Have you worked directly with Azure or Databricks for cloud deployments? If not, how would you ramp up and connect your AWS experience?
AI Full-Stack Product Engineer (Mid-Level)
How do you ensure secure, compliant integration with third-party APIs in financial or SaaS products?
AI Full-Stack Product Engineer (Mid-Level)
Háblame de una vez en la que tuviste que resolver un conflicto en un equipo técnico para avanzar con un proyecto importante. ¿Qué hiciste y cuál fue el resultado?
AI Full-Stack Product Engineer (Mid-Level)
Cuéntame de una situación donde cometiste un error o no cumpliste una expectativa y cómo lo solucionaste para no afectar al proyecto.
AI Full-Stack Product Engineer (Mid-Level)
Describe una ocasión en que cambiaste significativamente tu enfoque técnico o plataforma para cumplir un objetivo. ¿Qué aprendiste?
AI Full-Stack Product Engineer (Mid-Level)
Cuéntame cómo colaboras con distintos stakeholders (diseñadores, producto, clientes) para garantizar que las soluciones técnicas cumplan los objetivos de negocio y usuarios.
AI Full-Stack Product Engineer (Mid-Level)
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