Deep Dives · Every Thursday
Interview
A practice project deep-dive in the style of a Meta Principal/Staff Architect loop: a RAG system you owned has plateaued, so how do you separate retrieval misses from insufficient context, and why can better recall make answers worse?
Interview
A practice question in the style of an Anthropic Senior AI/ML Engineer loop: a customer's agent has 140 tools across five MCP servers and is getting worse as it grows. Do you add autonomy, or take some away?
Interview
A practice question in the style of an OpenAI Forward Deployed Engineer loop: design the inference tiers, cache layout and eval gate for a customer with live, near-live and bulk workloads.
Interview
A system design round for an AI/Solution Architect role: an internal knowledge assistant on Google Cloud, with a framework, a model answer, and the trade-offs interviewers actually probe.