OpenAI
Senior
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