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Interview

OpenAI FDE interview

OpenAI-style Forward Deployed / Applied loops emphasize production LLM systems, evaluation discipline, and customer discovery — not training GPT itself.

What “good” looks like

  • You can scope an enterprise AI problem without boiling the ocean
  • You design for permissions, data boundaries, and failure modes
  • You talk about evals and rollout, not only prompt cleverness
  • You communicate risk clearly to sophisticated customers

Technical themes to rehearse

  • RAG performance diagnosis (retrieval vs generation failures)
  • Tool-calling agents with guardrails and human-in-the-loop
  • Eval rubrics tied to business metrics
  • Integration with existing identity and data platforms

Broader bank: FDE interview questions. Design depth: system design.

Comp context

Packages are widely discussed as top-of-market and equity-heavy. Use OpenAI FDE hub as the structured landing page while we deepen bands and leveling notes.