- Страна
- США
- Зарплата
- 192 000 $ – 240 000 $
Откликайтесь
на вакансии с ИИ

Senior Software Engineer, AI — Ecosystem
Отличная позиция в топовом финтех-единороге с фокусом на передовые AI-технологии. Высокая зарплата, работа в сильной команде и стратегическая значимость роли делают её крайне привлекательной.
Сложность вакансии
Высокая сложность обусловлена ролью 'технического владельца' экосистемы, необходимостью глубоких знаний в безопасности (Auth/Permissions) и работы с нестабильными внешними API. Требуется сочетание сильных инженерных навыков и продуктового мышления.
Анализ зарплаты
Предложенный диапазон ($192k - $240k) полностью соответствует рыночным ожиданиям для Senior-позиций в Сиэтле, находясь на уровне или чуть выше медианы для крупных технологических компаний.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Software Engineer, AI — Ecosystem position at Brex. With extensive experience in building production-grade integrations and a deep understanding of identity and secure data access, I am excited by the opportunity to lead Brex’s external AI ecosystem. My background in developing resilient systems that interface with third-party platforms aligns perfectly with your goal of turning early integrations into first-class, exemplar applications.
In my previous roles, I have consistently demonstrated technical ownership of user-facing products, ensuring high standards of reliability and security. I am particularly drawn to Brex’s vision of redefining finance through autonomous AI agents. I am eager to apply my expertise in MCP apps and secure integration patterns to help Brex set a new standard for how modern finance works within external AI assistant environments like OpenAI and Claude.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в brex уже сейчас
Присоединяйтесь к Brex, чтобы создавать будущее финансовых AI-экосистем в самом сердце Сиэтла!
Описание вакансии
Why join us
Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises — including DoorDash, Flexport, and Compass — use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
AI at Brex
AI Engineering at Brex is redefining how businesses run their finances by building intelligent, autonomous systems directly into the Brex platform. Our teams develop AI agents that don’t just surface insights—they take action, optimizing spend, managing workflows, and making real-time decisions on behalf of our customers. By deeply integrating proprietary financial data with product and platform infrastructure, we’re turning complex financial operations into simple, automated experiences and setting a new standard for how modern finance works.
What you’ll do
You’ll be the senior technical owner for Brex’s external AI ecosystem: the integrations, surfaces, and standards that allow customers to interact with Brex through third-party assistants and platforms.
Over the next year, you’ll turn early integrations into first-class, exemplar applications — stable, secure, and opinionated — that are showcased by platform partners and relied on by power users at Brex’s most sophisticated customers. You’ll design how Brex data and actions are safely exposed, how permissions and auditability work across boundaries, and how new capabilities (including richer UI surfaces) are introduced over time.
This is a product role disguised as infrastructure. Success is measured by real usage, trust, and customer reliance — not by the number of integrations shipped.
Where you’ll work
This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We require three coordinated days in the office per week — Monday, Wednesday, and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
Responsibilities
- Own Brex's MCP Apps for OpenAI, Claude, and other embedders, including roadmap decisions across core and long-tail partners.
- Define the technical, UX, and reliability standards for how Brex surfaces and operates within external AI assistant ecosystems.
- Design and maintain secure, auditable integration patterns, including permissions, read/write access, and acting on behalf of users across third-party environments.
- Build and operate production-grade integrations that remain resilient amid evolving platforms, unpredictable clients, and shifting constraints.
- Partner cross-functionally with Security, Platform, Sales, Enablement, and internal agent teams to ensure integrations are safe, valuable, and well-supported.
- Serve as the center of excellence for reusable AI capabilities across Brex, defining and evangelizing standards, patterns, and shared components that power AI functionality both within the Brex platform and across external ecosystem integrations.
Requirements
- Experience building and owning production software, including systems that integrate with or depend on third-party platforms.
- Demonstrated technical ownership for user-facing products with real external customers.
- Deep experience with identity, authentication, permissions, and secure data access across system boundaries.
- Proven ability to ship and operate reliable integrations with external APIs and clients outside your control.
- Strong product judgment, written communication, and end-to-end ownership, including accountability for quality and launch readiness.
Bonus points
- Experience publishing and maintaining apps or integrations in third-party marketplaces (iOS, Slack, Shopify, GitHub, Chrome, etc.).
- Prior work on administrative or platform-side tooling for ecosystems.
- Familiarity with conversational or agentic interfaces in production environments.
Compensation
The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- Product Management
- API Integration
- Security
- Scalability
- AI
- OAuth2
- Authentication
- Infrastructure
- Claude
- OpenAI
Возможные вопросы на собеседовании
Роль предполагает владение MCP (Model Context Protocol) приложениями. Важно понять, как кандидат обеспечит безопасность при передаче финансовых данных внешним моделям.
Как бы вы спроектировали систему разрешений и аудита для доступа стороннего AI-агента (например, Claude) к конфиденциальным транзакционным данным Brex?
Работа с внешними экосистемами (OpenAI, Slack и др.) требует устойчивости к изменениям, которые вы не контролируете.
Расскажите о случае, когда стороннее API внезапно изменилось или вышло из строя. Как вы обеспечили отказоустойчивость вашего продукта?
Вакансия описывается как 'продуктовая роль под прикрытием инфраструктуры'. Важно оценить умение балансировать между кодом и потребностями пользователей.
Как вы определяете приоритеты между техническим долгом в инфраструктуре интеграций и запуском новых фич, востребованных пользователями?
Brex делает упор на AI-агентов, которые совершают действия, а не просто дают советы.
Какие специфические вызовы возникают при реализации 'write-actions' (записи данных) через AI-интерфейсы по сравнению с традиционными UI?
Вакансия требует опыта работы с протоколами идентификации.
Опишите ваш опыт реализации OAuth2 или аналогичных протоколов в распределенных системах с высокими требованиями к безопасности.
Похожие вакансии
AI Engineer (CV & Navigation)
Senior / Lead LLM Engineer
Middle, Middle+, Senior GenAI/LLM Разработчик
Senior Python AI Developer
GenAI/LLM Разработчик
Middle / Senior GenAI Engineer (CV)
1000+ офферов получено
Устали искать работу? Мы найдём её за вас
Quick Offer улучшит ваше резюме, подберёт лучшие вакансии и откликнется за вас. Результат — в 3 раза больше приглашений на собеседования и никакой рутины!
- Страна
- США
- Зарплата
- 192 000 $ – 240 000 $