Forward Deployed Engineer, Full-Stack

Company Description

A global AI company that has raised over $800M and reached a $5B valuation in under two years, opening its Korea office after New York, London, Singapore and Tokyo. The product is an enterprise AI operating system: agents that run inside a company's actual operations rather than sitting beside them.

You do not need an AI title on your profile. There are far more engineers in Korea who can ship a real product on top of a model than there are people whose resume says so, and this team needs the first kind.

This role is live and confirmed with the company that is hiring. Harper never posts a fake or placeholder job.

What You'll Do

Forward Deployed Engineering is not traditional product engineering. You sit with the customer, learn how their operations actually run, and build the systems that make AI work inside them. On this track you own it front to back, not up to an API boundary.

• Embed with enterprise customers to understand their workflows, constraints, and what success actually means to them.
• Build the surface they live in: the agent UI, the console, the workflow.
• Write the backend that connects it to the model, their data, and their existing tools.
• Own deployments from prototype through launch, monitoring, and continuous improvement.
• Own reliability for what you ship: latency, failure modes, and what happens when the model is wrong.
• Feed what you learn in the field back to the product and engineering teams.

Required Qualifications

• 3+ years building and shipping production software that real users depend on.
• Strong TypeScript and React, or equivalent modern front-end work.
• Backend competence in Python or Node, including designing and consuming APIs.
• You have owned a feature from empty file to live users, not just a slice of one.
• You want to be in front of customers. This is customer-facing engineering, not a pure backend or infrastructure role.
• Business-level Korean and English. You will work with the global team directly, with no layer in between.

Nice to Have

• Hands-on work with LLMs, RAG, or agent systems, including side projects.
• Product sense: you argue about what to build, not only how.
• A forward-deployed, solutions engineering, or technical consulting background.
• Design fluency, or a track record of shipping interfaces people find obvious.
• Cloud fluency (AWS, GCP, or Azure).

Why This Role Is Remarkable

• AI product work in Korea is mostly demos right now. These deployments run inside paying enterprise customers.
• You will be one of very few engineers in the market with production agent product experience, and that gap is not closing quickly.
• The Korea team is early. What you ship in the first year becomes how the product looks here.