В OpenAI это чётко очерченная senior-роль с практической разработкой, ответственностью за production-системы и влиянием на продукт; главный компромисс - три дня в офисе в Лондоне.
Кликните для подробной информации
Три дня в офисеПередовой ИИОтветственность за результатСовременный стекПомощь с переездом
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Applied AI Engineer (Digital Natives) (AI/Python): Designing, building, and deploying AI-powered products and systems for digital native customers with an accent on evaluation, reliability, security, governance, and measurable business impact. Focus on moving prototypes into production, resolving complex integrations, and creating reusable architectures and tooling for enterprise deployments.
Location: London, UK; hybrid work model with 3 days in the office per week. Relocation assistance is available to new employees.
Company
OpenAI is an AI research and deployment company developing general-purpose AI systems with a focus on safe, human-centered deployment.
What you will do
Partner with Digital Native 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 customer problems and produce measurable business outcomes.
Write code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators.
Make technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance.
Diagnose implementation challenges, reproduce failures, test hypotheses, and move blockers toward resolution.
Help customers progress from prototypes to reliable production systems, sustained adoption, and scaled impact while creating reusable architectures, tooling, playbooks, and technical guidance.
Requirements
Demonstrated experience designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production.
Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting.
Substantial personal contributions in code, architecture, evaluation, debugging, or production engineering, not only program or stakeholder management.
High proficiency in Python and comfort working across an AI application stack.
Ability to evaluate AI systems systematically using representative data, graders, production signals, and human judgment.
Experience navigating 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 engineers, technical leaders, security teams, product leaders, and executives.
High agency, strong technical judgment, end-to-end ownership, fast learning, constructive challenge of assumptions, and collaborative humility.
Nice to have
Experience with JavaScript, TypeScript, or another relevant programming language.
Experience in a particular industry or with OpenAI products is not required.
Culture & Benefits
Hybrid work arrangement with three office days per week in London.
Relocation assistance for new employees.
Work with customer product and engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams.
Equal opportunity employment 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 →