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.