Technical practice
How would you architect a production-grade GenAI application combining LLMs, agents and retrieval?
What to coverThe posting assigns this role ownership of architecture and delivery for systems integrating all three. Suggested preparation (inferred): explain component boundaries, data flow and trade-offs between flexibility, latency and operational complexity.
How would you integrate an LLM into an intelligent application?
What to coverThe role explicitly calls for applications that integrate LLMs. Suggested preparation (inferred): discuss how you would define the model’s task, handle unreliable outputs and assess whether it meets the application’s needs.
When would you use a multi-agent workflow rather than a simpler design?
What to coverMulti-agent workflows are named in the posting. Suggested preparation (inferred): describe how you would divide responsibilities and coordinate agents, weighing potential gains against added failure modes and complexity.
How would you design an embedding-powered retrieval solution?
What to coverEmbedding-powered retrieval is a stated part of the systems this role would build. Suggested preparation (inferred): explain how content becomes searchable, how relevant results reach the application and what design choices affect retrieval quality.
How would you evaluate whether retrieval is helping the application?
What to coverThe posting calls for retrieval solutions within production-grade intelligent applications. Suggested preparation (inferred): distinguish retrieval relevance from the quality of the final response, and explain how you would investigate cases where retrieved material is unhelpful.
How would you scale a GenAI application for production use?
What to coverThe role is responsible for scalable, production-grade applications. Suggested preparation (inferred): discuss capacity, latency, cost and reliability trade-offs without assuming a particular infrastructure or traffic level.
How would you diagnose a poor response from a system using LLMs, agents and retrieval?
What to coverThe advertised architecture combines these components, making their interactions relevant to delivery. Suggested preparation (inferred): trace the response through retrieval, agent decisions and LLM output to isolate the cause before changing the design.
How would you take a GenAI system from architecture to delivered application?
What to coverThe posting explicitly makes the lead responsible for both architecture and delivery. Suggested preparation (inferred): describe how you would validate design choices, sequence implementation and judge readiness for production use.
What engineering standards would you establish for this work?
What to coverDefining engineering standards is an explicit responsibility. Suggested preparation (inferred): explain how standards could support consistent design, review and maintainability across the applications and teams described in the posting.
Behavioural practice
Tell me about a time you guided a cross-functional team through a technical decision.
What to coverThe posting says this role guides cross-functional pods. Suggested preparation (inferred): use a real situation/action/result example showing how you reconciled different priorities and what decision followed.
Describe a time you led other engineers through a difficult piece of work.
What to coverThe role includes functional leadership of associates. Suggested preparation (inferred): use a real situation/action/result example showing how you provided direction, supported the team and assessed the outcome.
Tell me about a time you handled a people-management responsibility.
What to coverThe posting also assigns administrative responsibility for associates, without specifying particular processes. Suggested preparation (inferred): choose a real situation/action/result example that demonstrates how you handled that responsibility fairly and clearly.
Describe a time you introduced an engineering standard that others needed to adopt.
What to coverDefining engineering standards is part of the advertised role. Suggested preparation (inferred): use a real situation/action/result example covering the need for the standard, how you gained alignment and its effect.
Tell me about a time you balanced innovation with delivering a reliable application.
What to coverThe posting pairs driving innovation with delivering production-grade applications. Suggested preparation (inferred): use a real situation/action/result example explaining the trade-off you made, your actions and the observed result.