← All roles

Applied AI Engineer

OpenAI· Go To Market
Apply on company site
Hybrid (Seoul, South Korea)Full-timePosted 9mo ago

About the role

Role focused on designing, building, and deploying AI systems for enterprise customers, translating deployment experience into product feedback, and driving measurable business outcomes through production-ready AI solutions. Hybrid work in Seoul with relocation assistance.

Responsibilities

  • Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria.
  • Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes.
  • Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators.
  • Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance.
  • Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution.
  • Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact.
  • Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback.
  • Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments.

Qualifications

  • Demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production.
  • Substantial personal contributions in code, architecture, evaluation, debugging, or production engineering.
  • Proficiency in Python; experience with JavaScript, TypeScript, or similar languages is valuable.
  • Ability to evaluate AI systems systematically using representative data, graders, production signals, and human judgment.
  • Experience with enterprise production requirements: integrations, reliability, observability, security, privacy, data governance, performance, and cost.
  • Ability to connect technical decisions to customer workflows, adoption, and measurable business outcomes.
  • Strong communication skills across hands-on engineers, technical leaders, security teams, product leaders, and executives.
  • High agency, strong technical judgment, and end-to-end ownership in ambiguous environments.

Skills

Required:PythonCode prototyping and evaluation toolingSystem design and architectureCustomer engagement and collaboration

Benefits

  • relocation assistance to new employees
  • Hybrid work model (3 days in the office per week)
Last updated Aug 20, 2026. Interested? Apply on the company site.

About OpenAI

ai-infrastructure-and-developmentliquid-ai-recruiting-targetllmsetter-30setter-30-2026-q1speech-to-texttext-to-speechvoice-ai-stack
Company profileWebsite

More open roles at OpenAI