Own end-to-end frontier model deployments for OpenAI's most strategic customers in Seoul

OpenAI is hiring a Forward Deployed Engineer to embed with strategic customers in Seoul and take frontier model deployments from first prototype to stable production. This interview probes full-stack build skill, ambiguous-scope ownership, and the judgment to trade off scope, speed, and quality under customer pressure.

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What this interview tests

End-to-end ownership of a production deployment (discovery to rollout)
Full-stack coding under ambiguity (frontend + backend, Python/JavaScript)
Working with LLM/generative-model behavior in a real product
Scoping, sequencing, and unblocking delivery in fast-moving environments
Cross-functional collaboration with customer engineering and internal Product/Research/Security/GTM teams
Judgment and calm decision-making under high-stakes pressure

Common question themes

Describe a deployment you scoped and delivered from prototype to production

Tell me about a trade-off between scope, speed, and quality you had to make

How have you turned field/customer feedback into a change in product or model direction

A time you had to contribute code directly to unblock a stalled deployment

How you communicate technical risk to both engineers and non-technical customer stakeholders

Handling a high-stakes moment where the deployment was at risk of failing

How candidates describe it

Real Forward Deployed Engineer interview stories — retold from candidates' public write-ups, with sources.

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Interviewed June 2020 · Bangalore, IN

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Google L4 Software Engineer Interview: Eight Rounds, No Offer

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Interviewed February 2024 · Not specified

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Google L5 software engineer interview: phone screening, three onsite rounds, system design, and a late rejection

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Interviewed January 2023 · Not specified

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