Forward Deployed Engineer interview questions fall into five buckets that map to the five stages of the loop: motivation ("why FDE, not SWE?"), a take-home build, a technical deep-dive on production AI (RAG, evals, guardrails), the signature customer case study, and behavioral questions about ownership and ambiguity. The case study is the round that decides most offers, and it is the one candidates prepare for least. Below are the real questions asked at each stage, what the interviewer is actually scoring, and how to prepare.
What FDE interviews test that SWE interviews don't
A standard software interview scores algorithmic coding and system design. An FDE loop scores those too, but weights two things a SWE loop mostly ignores: production AI judgment (can you reason about token cost, latency, evals, and failure modes on a real deployment?) and customer judgment (can you take a vague, underspecified business problem and decompose it into a plan out loud, while asking the right clarifying questions?). Across Palantir, OpenAI, Anthropic, Google, and ElevenLabs the loop shape is consistent, and the case study carries the highest weight with the lowest pass rate (Exponent, DataInterview).
