Чётко очерченная инженерная роль в ведущей AI-компании: от разработки до внедрения в production, с возможностью влиять на развитие продукта.
Передовой ИИ
Понятная зона ответственности
Сильная компания
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Applied AI Engineer, Enterprise - EDU (AI/Enterprise Systems): Building, evaluating, and deploying AI systems for universities and educational institutions from prototype through reliable production and scaled adoption with an accent on Python engineering, model and agent design, retrieval, data pipelines, evaluation, and enterprise governance. Focus on diagnosing complex integrations, improving reliability, latency, cost, safety, and security, and translating customer deployments into reusable architectures and product feedback.
Location: San Francisco, New York City, or US remote. Office-based employees follow a hybrid model with three days per week in the office. Relocation assistance is available to new employees.
Salary: $251K–$278K annually, plus equity.
Company
OpenAI is an AI research and deployment company developing general-purpose AI systems with a focus on safe and broadly beneficial deployment.
What you will do
Design, build, evaluate, and deploy AI systems from prototypes to reliable production and scaled adoption.
Partner with enterprise customers, including universities and educational institutions, to define technical architectures, implementation plans, evaluation strategies, and success criteria.
Make technical decisions across model selection, agents and tools, retrieval, context design, data pipelines, reliability, observability, latency, cost, safety, security, and governance.
Diagnose implementation challenges, reproduce failures, test hypotheses, and resolve blockers.
Collaborate with customer engineering teams and OpenAI Product, Research, Engineering, Security, and Go-to-Market teams.
Create reusable architectures, tooling, playbooks, and technical guidance for future enterprise deployments.
Requirements
Hands-on experience designing, building, and shipping AI or machine-learning systems in enterprise environments from prototype to production, with substantial contributions through coding, architecture, evaluation, debugging, or production engineering.
High proficiency in Python and comfort working end to end across model APIs, agent and tool development, retrieval, data pipelines, evaluation, observability, integrations, and production operations.
Ability to systematically evaluate AI systems using representative data, automated graders, production signals, and human judgment.
Experience with enterprise production requirements, including integrations, reliability, observability, security, privacy, data governance, performance, and cost.
Ability to connect technical decisions to customer workflows, adoption, and measurable business outcomes.
Clear and credible communication with hands-on engineers, technical leaders, security and product teams, and executives.
End-to-end ownership, strong technical judgment, effective decision-making through ambiguity, rapid learning, constructive challenge, and humble collaboration.
Nice to have
Experience with JavaScript, TypeScript, or another relevant programming language.
Experience navigating education or research environments, including institutional data, privacy, access controls, and complex integrations.
Experience working with educational institutions, particularly universities.
Prior OpenAI product experience is not required.
Culture & Benefits
Direct collaboration with customer engineering, product, security, research, and transformation teams.
Deployment experience informs the evolution of OpenAI products and reusable engineering patterns.
Hybrid office work is required three days per week for office-based employees; remote work is also available in the US.
Relocation assistance is available for new employees.
Equity is included in the compensation package, with reasonable accommodations available for applicants with disabilities.
Будьте осторожны
Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →