Разработка вакансии

Обязанности: • Администрирование BI систем: Qlik Sense и Visiology • Поддержка и настройка DWH (хранилища данных), разработка витрины данных (QVD) • Автоматизация процессов сбора и хранения данных • Управление командой Требования: • Опыт работы с SQL, Python, Power BI, Qlik Sense, Tableau и т.д. • Аналогичный опыт работы обязателен • Аналитический склад ума • Готовность разбираться в большом объёме информации • Коммуникабельность и умение общаться с внутренним заказчиком Условия: • "Белую" заработную плату: оклад + премия (ежемесячно) + 2 годовые премии (ко Дню связи в мае и к Новому году) • Оформление по ТК РФ, оплата больничных и отпусков • График работы 5/2 с 8:00 до 17:00 в офисе, сокращенный рабочий день в пятницу • Комфортный офис по адресу: г. Казань, ул. Н.Ершова 55В, остановка "Октябрьский городок", напротив Арт Сити • Возможность получать бонусы по программе "Приведи друга" - от 10 000 рублей • Предоставляем оплачиваемый день отдыха в свой день рождения • Подарки для сотрудников и их детей на праздники

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Enterprise is central to Anthropic's mission. The organizations that could benefit most from Claude are often the most demanding buyers, with rigorous requirements around security, compliance, and control. We believe earning their trust is essential to ensuring AI benefits the world broadly. We're looking for an engineering manager for our Enterprise pillar —the team that makes Claude enterprise-ready at scale. When a Fortune 500 company wants to roll out Claude to 100,000 employees, we're the team that makes it possible. You'll build the foundational systems that large organizations require before they can deploy AI at scale. This work directly converts product-market fit into revenue by removing the deployment blockers that prevent large organizations from adopting Claude broadly. This role sits at the intersection of enterprise product, platform infrastructure, and go-to-market. You'll partner closely with product, design, sales, and customer success to understand what our largest customers need, then translate those requirements into scalable technical solutions that work across Claude.ai , Claude Code, and API. Responsibilities Lead and develop a team of engineers building out features and foundations that make Claude enterprise-ready at scale Own engineering execution end-to-end: planning, prioritization, delivery quality, team health, and incident response Partner with engineering teams throughout the company to ensure that the platforms we build are extensible and easy to adopt Partner with sales and customer success on enterprise deals—understanding requirements, representing engineering in key conversations, and turning what you learn into priorities Shape the roadmap with product and design, not just execute against it Drive the compliance and platform-readiness work your customers require, partnering with security and legal Recruit, onboard, and grow strong engineers; give direct feedback and build a healthy, high-performing team Minimum qualifications 4+ years of experience as an engineering manager, with experience in enterprise SaaS, cloud services, or admin tools Are comfortable executing at a fast pace to meet the expectations of our customers Are detail-oriented and quality-focused - our customers are using Claude for critical workflows and our product needs to stay robust and reliable Are comfortable working with enterprise customers, working alongside sales and customer success and joining customer conversations Are a skilled engineering manager who treats management as a craft—clear feedback, strong 1:1s, consistent investment in your team's growth Preferred qualifications Experience with AI/ML products and understanding how enterprises evaluate and deploy AI tools Background with compliance frameworks for regulated industries (SOC2, HIPAA) and enterprise audit logging requirements Experience building integrations, permissions, billing, or pricing infrastructure Familiarity with data residency and sovereignty requirements across global regions Startup experience, particularly in scaling enterprise platforms from early adoption to broad deployment Experience in working with research to improve domain specific model capabilities The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Задачи: — Развитие, разработка и доработка компонентной базы дизайн-системы для Web платформы — Ведение и доработка системы доставки токенов — Проектирование интерфейсов UI-компонентов — Разработка новых и доработка существующих компонентов UI-кита — Участие в код-ревью — Написание документации и примеров работы компонентов (Storybook) — Написание юнит/интеграционных/скриншотных/снапшотных тестов — Ведение и проработка задач из issue-трекера — Коммуникация с командами-потребителями дизайн-системы: консультирование по интеграции компонентов, сбор обратной связи, разбор проблем — Участие в сопровождении системы доставки токенов Требования: — Опыт Frontend-разработки от 3 лет — Глубокие знания JavaScript (ES5+) и практическое применение — Хорошее знание TypeScript, уверенное описание типов и интерфейсов, включая публичный API компонентов — Глубокое понимание HTML: семантика, доступность, SEO — Уверенная работа с CSS/SCSS: Flexbox, Grid, кастомные свойства и переменные — Уверенная работа с React: функциональные компоненты, хуки, контексты, паттерны переиспользуемых компонентов — Опыт работы со Storybook: написание историй, документация пропсов, демонстрация разных состояний компонентов — Навыки написания юнит-тестов, скриншотных и снапшотных тестов, включая использование Playwright — Работа с npm-пакетами: публикация и версионирование собственных пакетов — Базовые навыки работы с Node.js: чтение и запись файлов, написание утилит, кодогенерация Будет плюсом: — AI-native подход в работе: активное использование AI-инструментов (GitHub Copilot и аналоги) для поиска решений, генерации и ревью кода, написания тестов и документации, понимание где AI ускоряет работу, а где требует критической проверки Условия: — Работа в кросс-функциональной команде из 6 человек (тимлид, iOS-разработчик, Android-разработчик, frontend-разработчик, дизайнеры) — Работа по Agile с двухнедельными спринтами, планированиями, PBR — груминг задач, ретроспективами и регулярными платформенными синками с командами продуктов — Использование OKR для синхронизации целей — График работы 5/2 — Возможность выбрать постоянное место в офисе, гибридный график или полную удалёнку

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Inference organization serves Claude to millions of users and enterprise customers with the speed, reliability, and efficiency that frontier AI demands. We build across GPUs, TPUs, and Trainium, and the complexity of our development environment grows with every platform we add. We're looking for a Staff engineer to be the technical lead for Inference Developer Productivity: the team that makes every engineer in the org dramatically more effective at building, testing, and shipping inference software. This is a senior IC role with broad technical ownership. You'll set technical direction for the team's toolchains, workflows, and feedback loops, and you'll be the one making the hard calls on architecture, prioritization, and tradeoffs across heterogeneous accelerator platforms. You'll pair with the team's Engineering Manager, who owns hiring and people development, while you own the technical roadmap and drive the work. You'll also partner closely with Anthropic's central Infrastructure org, where company-wide developer productivity lives, to make sure Inference's multi-accelerator reality is well served without duplicating effort. This role is for someone who has been the technical anchor on a platform or infrastructure team before, who thinks in systems and feedback loops, and who gets real satisfaction from the moment another engineer stops fighting their environment and starts shipping. Key responsibilities Set technical direction for Inference Developer Productivity, owning the architecture and roadmap for toolchains, dev environments, and CI/CD across GPU (CUDA), TPU, and Trainium platforms Be the technical owner of accelerator toolchain management: compilers, drivers, libraries, frameworks, kept current, compatible, and well-tested so Inference engineers focus on model serving instead of environment archaeology Design and build infrastructure for efficient accelerator usage during development, including devbox environments, pre- and post-land validation automation, and shared tooling that reduces the cost of working across heterogeneous hardware Define and instrument productivity metrics for the Inference org, building the dashboards and alerting that surface regressions early (smoke tests red for extended periods, build times creeping up, toolchain breakages) and drive them to resolution Proactively hunt down bottlenecks, toil, and friction across Inference engineering workflows, then design and build the systems that eliminate them Act as the technical counterpart to Anthropic's central Infrastructure org, aligning on shared developer productivity initiatives, contributing Inference-specific requirements, and making the call on build vs. adopt Mentor engineers on the team through design review, code review, and direct collaboration, raising the technical bar without owning headcount Minimum qualifications 8+ years of software engineering experience, with significant time as the technical lead or anchor on an infrastructure, platform, or developer productivity team Deep background in systems engineering, build/test infrastructure, or ML infrastructure, with the ability to go hands-on with toolchain issues, CI/CD pipelines, and developer workflow optimization Experience owning toolchains or development environments for compute-intensive workloads (ML training or inference, HPC, large-scale distributed systems) Real depth in at least one accelerator ecosystem (CUDA/GPU, TPU, or Trainium/AWS Neuron) and genuine appetite to learn the others A track record of defining and using engineering metrics to drive improvement: you've built dashboards, set SLOs on developer workflows, or led initiatives that measurably improved engineering velocity Experience driving technical alignment across organizational boundaries, advocating for your team's needs while contributing to shared infrastructure Strong written and verbal communication, and the ability to influence technical direction without formal authority Preferred qualifications Experience with ML compiler toolchains (XLA, Triton, NeuronX) or accelerator driver/firmware management at scale Background building or running shared development environments (devboxes, remote development, ephemeral environments) for hardware-dependent workflows Experience with CI/CD systems at scale, particularly for workloads involving accelerator hardware Familiarity with Kubernetes-based development and job scheduling environments Prior tech lead experience on a developer productivity or platform engineering team at a fast-growing AI/ML company The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Мы Karta.io — FinTech (B2C, B2B) платформа с виртуальными картами высокого траста и собственной крипто-инфраструктурой. Карта выпускается за секунды, работает в 150+ гео, пополняется из любого крипто-кошелька. Мы 3+ года на рынке, распределённая команда 30+ человек по всему миру, без микроменеджмента. Ищем первого Founding Mobile Engineer / Mobile Lead — человека, который возьмёт ownership над мобильным направлением с нуля и вырастит его в self-sufficient команду. Почему у нас интересно: Zero-to-one : нет legacy-кода мобильного приложения, но есть работающий продукт в TMA. Нужно перенести функциональность и развивать новую параллельно AI First : мы не адаптируем AI под процесс — мы строим процесс под AI. Mobile Lead станет ключевым архитектором этого подхода в компании Работа напрямую с C-Level Что предстоит делать: Выбрать и обосновать технологический стек (React Native или Flutter) — твоё решение, ты его защищаешь Перенести функциональность из Telegram Mini App в нативное iOS + Android-приложение Выстроить архитектуру, CI/CD, релизные процессы Нанять и вырастить команду 1–2 человека: код-ревью, онбординг, менторство Работать в связке с Product, Design, Backend, QA, CTO при запуске сценариев: карты, KYC, on/off-ramp, Apple/Google Pay Внедрять и поддкрживать AI-first процесс разработки Что для нас важно: 4+ лет коммерческой mobile-разработки с ответственностью за архитектуру Опыт в fintech, crypto wallet или neobank Понимание security в финтех-контексте: знаешь угрозы мобильных финтех-приложений и закрывал их на уровне реализации — secure storage, biometrics, certificate pinning Опыт построения или развития mobile-команды (1–2 человека → self-sufficient unit) Опыт выбора стека и защиты решений перед техническим руководством AI Coding Tools в ежедневной практике + готовность лидировать эти процессы на уровне команды Английский — письменная коммуникация без барьеров Будет плюсом: Опыт с self-custody / non-custodial wallet Масштабирование приложения до 100k+ MAU Знание PCI DSS / GDPR на практике AppsFlyer / Adjust Что мы предлагаем: Зарплату на уровне рынка в USDT или $ (Deel) Комфортную удалёнку из любой точки мира (основная тайм-зона GMT+3 до GMT+8) Живая, быстрорастущая среда, где можно реализовать собственные идеи Оплачиваемый отпуск 28 календарных дней в году и выходные в праздничные дни Прямая работа с CTO Процесс Отклик → HR-скрининг (45 мин) → Tech interview → Final → Оффер

Задачи: — Архитектура и масштабирование систем биллинга в реальном времени, от загрузки данных в ClickHouse до рейтингового движка. — Создание идемпотентных платежных потоков и систем сверки с использованием Stripe и других провайдеров. — Разработка систем обнаружения мошенничества и злоупотреблений в реальном времени для защиты маржи платформы. — Оптимизация сервисов на PostgreSQL и Node.js для работы с высокими нагрузками записи и в условиях высокого давления. — Реализация долговременных рабочих процессов с использованием Temporal. — Создание API на TypeScript и GraphQL с акцентом на аудит и корректность. Требования: — Подтвержденный опыт масштабирования систем (например, обработка роста в 10 раз). — Глубокие знания PostgreSQL и моделирования реляционных данных в масштабах. — Сильные знания внутренних механизмов Node.js (event loop, поведение памяти). — Опыт работы с движками рабочих процессов, такими как Temporal, для асинхронных backend-задач. — Знание особенностей отказов платежных провайдеров, идемпотентности и сверки. — Способность вести весь процесс разработки от ERD до мониторинга. Желательно: — Опыт с Rust или желание его изучить. — Прямой опыт в биллинге, платежах или системах борьбы с мошенничеством. Условия: — Высокая автономия и культура владения процессами с минимальным количеством встреч. — Глобально распределенная команда с асинхронным стилем коммуникации. — Конкурентная зарплата, полный пакет медицинского страхования (включая иждивенцев) и значительные долевые гранты. — Стипендия на оборудование и акцент на долгосрочное профессиональное развитие. Процесс найма: — Вводный звонок для обсуждения роли и целей кандидата. — Асинхронный проект по дизайну системы масштабирования (биллинг или потоковая обработка). — Технический обзор решения с инженерной командой. — Собеседование с 4 сотрудниками из разных отделов компании. — Финальный разговор с CEO.

Задачи: — Владение backend-функционалом от начального проектирования до развертывания и мониторинга. — Создание и масштабирование инфраструктуры для торговли в реальном времени, включая системы ценообразования, управления рисками, исполнения и расчетов. — Разработка backend-сервисов с использованием TypeScript/Node.js, Kafka, Redis, очередей и WebSockets. — Интеграция с EVM-цепочками, кошельками, RPC, смарт-контрактами и потоками транзакций в блокчейне. Требования: — Опыт backend-разработки в продуктивных средах не менее 4 лет. — Глубокие знания TypeScript и Node.js. — Опыт работы с Python, распределенными системами и backend-инфраструктурой. — Твердое понимание экосистем EVM и архитектуры Web3. — Готовность работать в часовом поясе CET-IST. Плюсом: — Интерес к DeFi, perpetuals или финансовым технологиям. Условия: — Работа в быстрорастущем стартапе с высоким уровнем ответственности. — Возможность создавать критически важные системы для высокопроизводительной торговой платформы.

Условия и бонусы: — Фултайм, удаленно. Наши ожидания: — 5+ лет коммерческой backend-разработки; — 3+ лет разработки на Go; — глубокое понимание concurrency в Go (goroutines, channels, context); — понимание принципов микросервисной архитектуры; — опыт построения event-driven систем; — опыт работы с очередями и брокерами сообщений; — уверенная работа с MySQL (индексы, транзакции, оптимизация); — понимание финансовой арифметики (decimal, точность вычислений, отсутствие float-ошибок); — опыт работы с Redis; — понимание принципов построения low-latency систем; — опыт работы с Docker и Git; — уверенная работа в Linux-окружении.

Задачи: - Ведение продуктовых и технических инициатив на уровне департамента: сбор требований, взаимодействие с внутренними стейкхолдерами и кросс-функциональными командами, разработка решений, декомпозиция и оценка задач, доведение инициатив до результата. - Проектирование архитектуры сервисов в соответствии с продуктовыми требованиями. - Управление техническим качеством продукта: определение стратегии и видения, приоритизация задач, планирование. - Управление инструментами и технологиями внутри команды. Требования: - 6+ лет в бэкенд-разработке, из них 3+ года с Go (проектирование и разработка сервисов с нуля). - 1+ год опыта в аналогичной роли: Tech Lead / Team Lead / Engineering Manager. - Опыт разработки высоконагруженных проектов (средняя нагрузка на наши сервисы 100+k RPS). - Опыт проектирования архитектуры: создание сервисов, описание схем баз данных. - Обеспечение высокого качества кода с помощью юнит- и интеграционного тестирования. Условия: - Гибкость в работе: гибкий график и удалённый формат работы. - Забота о здоровье и well-being: ДМС для сотрудников и их детей, компенсация онлайн-сессий с психологом, сохранение 100% зарплаты во время отпуска или больничного без лишних справок. - Развитие и обучение: оплата участия в профильных конференциях и курсах, внутренние конференции, компенсация изучения иностранного языка. - Ивенты и мерч: регулярные офлайн-мероприятия, встречи команд, корпоративные вечеринки и пати в офисах.

Location: Hybrid - Riyadh, Saudi Arabia MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. We’re building the complete data stack for AI — exascale object store, table store, agent memory, and brain: every layer of how AI stores, retrieves, and thinks over data. Hard problems with no existing answers. Bring your own. What you will do: You’ll own problems end-to-end — the kind most engineering teams never get close to. No ticket queues, no standups, no permission. Just you, the codebase, and a team of people who care as much as you do. Everyone here is an IC, an architect, or a lead — most are all three. Your Skills and Experience: Deep OS internals. Networking from the socket layer up. Strong opinions on memory, concurrency, and correctness — and the humility to revise them. You’ve debugged something no one else could reproduce.You’ve read source code not because you had to, but because it was bothering you. Key Competencies: Fluent in ≥2 languages, honest about tradeoffs You debug by understanding, not by guessing Grit: you start hard things and finish them Curiosity you genuinely can’t switch off Low ego, extremely high standards You write code the next engineer respects Operating Systems, Networking, Systems Programming, Distributed Systems, Storage Engines, Vector/Graph Retrieval, Low -Latency I/O, and Protocol Design MinIO Engineering Culture: All leads, architects and ICs — no managers Full ownership from day one, no permission needed Decisions made by the people doing the work Craftsmanship is a first-class engineering concern No sprints. No standups. No Jira. What We Offer: Health Care Plan (Medical, Dental & Vision) 401K with 3% Contribution Pre-IPO Stock Options At least 12 Public Holidays Flexible Time Off Please include a sample of your work. Examples could include a repo, write up, postmortem, We care more about the work you have done more than a resume. - Submissions without samples will not be considered Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: Singapore Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO - Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. - Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. - Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups, embedding AI agents across their entire business stack to drive innovation and efficiency. - Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. EXAMPLE PROJECTS These are some examples of projects that engineers on our team have worked on recently: - Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn - Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations - Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services! - Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development - Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers WHAT YOU'LL BRING - Experience building and scaling end-to-end production systems - Strong technical problem-solving skills, especially in fast-changing, ambiguous environments - A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship - Comfort working directly with customers to understand their needs and solve real-world problems - Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences - Proficiency in Mandarin is required to support interactions with Mandarin speaking clients. EVEN BETTER... - Experience building or deploying AI/LLM systems in production - Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed - Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering - Prior experience with React, TypeScript, and/or Go - Previous roles where you interfaced with customers or led technical projects with external stakeholders OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Задачи: - Исследование поведения AI-агентов (tool calling, MCP, multi-step workflows) и создание детекций аномальных и вредоносных паттернов. Тестирование и валидация контролей - Реализация crawler-компонентов для discovery страниц, форм, endpoint’ов и параметров - Разработка механизмов обнаружения injection points в query, body, headers, cookies, forms и API-запросах - Интеграция DAST-движка с AI-агентами и backend Требования: - Уверенное знание Python - Опыт backend-разработки и построения устойчивых сервисов - Понимание базовых web-уязвимостей - Опыт работы с browser automation: Playwright, Puppeteer или Selenium - Умение проектировать код, устойчивый к нестабильному поведению web-приложений

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE: We are looking for a Software Engineer to work on the systems that let operators author, deploy, and manage robot workflows at scale. This sits at the intersection of backend infrastructure and product - you'll build the services that coordinate fleets of robots, the tooling that lets operators express what they want robots to do, and the interfaces that give visibility into what's actually happening on the floor. This is a full-stack role with a strong backend lean. You'll work closely with the robotics, AI, and product teams to build systems that are real-time, multi-tenant, and mission-critical. WHAT YOU’LL DO - Build and maintain backend services that coordinate robot fleets at runtime: workflow state management, event logging, and the APIs that robots, operators, and third-party systems use to interact with the platform - Develop and evolve the workflow authoring experience - tooling that lets operators define, deploy, and incrementally refine robot workflows in natural language, without needing to understand the underlying representation - Build on-robot services that enable remote control, workflow execution, state reporting, and diagnostics - Own the data infrastructure that tracks workflow execution: event logs, conformance metrics, and the audit trails that let operators understand what robots are doing and why - Build and maintain reliable, secure cloud infrastructure for running these services, including deployment pipelines, observability, and alerting - Implement testing and validation pipelines to catch regressions across the UI, backend, and on-robot services - including simulation-based workflow validation before changes hit production WHAT WE’RE LOOKING FOR - Strong backend engineering skills in Python, Go, or similar - Solid understanding of API design, data modelling, and the tradeoffs in distributed systems (consistency, concurrency, fault tolerance) - Experience with cloud infrastructure and deployment: containerisation, CI/CD, infrastructure-as-code - Comfort working across the stack from frontend to backend - Experience with observability and alerting in systems where failures have real operational consequences - Good instincts for where complexity should live and how to keep systems debuggable and understandable as they grow NICE TO HAVE - Familiarity with workflow engines, state machines, or coordination systems — ideally in a multi-agent or fleet context - Experience building operator-facing tooling: dashboards, authoring UIs, or systems that translate human intent into structured actions - Exposure to LLM-based agentic systems, particularly using AI to generate or modify structured representations from natural language - Experience integrating with third-party enterprise systems (WMS, ERP, or similar) - Background in robotics or real-time systems where execution state and side-effects need to be managed carefully WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Задачи: — создание цифровых помощников для управления рисками инвестиционных портфелей в мультиагентной системе, анализирующей отчетность эмитентов, новостную повестку, судебные производства, котировки, кредитные рейтинги. Требования: — глубокое понимание архитектуры и принципов работы больших языковых моделей (LLM); — опыт разработки и интеграции AI-агентов и multi-agent систем; — понимание методов и алгоритмов машинного обучения и обработки естественного языка (NLP); — опыт с RAG (retrieval-augmented generation) и Knowledge Graph; — навыки prompt engineering; — опыт с инструментами и фреймворками: LangChain, GigaChain, LangGraph, LangFlow, n8n, Flowise, OpenRouter, NeuroAPI, GigaChat, ChatGPT, DeepSeek, Qwen, Mistral; — программирование на Python (приоритет); Java/Go/JavaScript — будет плюсом; — разработка и интеграция backend-сервисов и WebUI для AI-решений; — протоколы обмена данными: REST, WebSocket, JSON-RPC, gRPC; — системы логирования, мониторинга и диагностики для AI-приложений; — базовые DevOps и CI/CD практики; — опыт реализации и сопровождения AI-агентов в production-средах; — разработка приложений на базе LLM с использованием популярных open-source и коммерческих моделей; — интеграция внешних данных (базы знаний, API) для расширения возможностей AI-агентов; — построение кастомных пайплайнов обработки запросов и ответов; — участие в проектах по оптимизации производительности и масштабируемости LLM-систем; — командная разработка и взаимодействие с продуктовой и DevOps-командами. Условия: — удаленная работа; — полная занятость; — грейд middle+/senior; — зарплата от 260 000 до 350 000 ₽ в месяц.

Требования: - Уровень middle+ или senior; - Опыт разработки на React от 5 лет; - Опыт работы со сборщиками webpack/vite или другими; - Опыт работы с RestApi, Redux, TypeScript от 3-х лет; - Опыт разработки библиотеки компонентов UX\UI от 3-х лет; - Опыт разработки Unit-тестов от 3-х лет; - Опыт работы с BitBucket, Jenkis, Git, Jira; - Опыт работы с контейнеризации приложения Docker; - Опыт оценки времени выполнения задач; - Опыт разработки Front банковских ИТ-решений (ДБО, Личные кабинеты). Обязанности: - Участие в проекте по импортозамещению платежной системы; - Разработка и поддержка FronEnd (GUI) приложений платёжного контура; - Написание поддерживаемого и эффективного код на Typescript и React; - Оценка задач по разработке; - Поддержка и разработка компонентов ui-kit; - Разработка unit-тестов; - Участие в процессе код-ревью; - Проектирование и развитие архитектуры клиентского приложения; - Предлагать свои решения и договариваться с коллегами; - Взаимодействие с командами в рамках проекта (системные аналитик, разработчики BackEnd, тестировщики).

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE: We are looking for a Software Engineer to own the device software and data pipeline for our UMI data collection devices - handheld gripper systems used by human operators to demonstrate manipulation tasks. The data they produce is used to train our robots, so the quality of what you ship determines the quality of robots we deploy. This is a deeply technical, hands-on role. You will write production-grade device software, build reliable sensor fusion and recording pipelines, and own the validation tooling that keeps our training datasets clean. You will work closely with hardware, AI, and data collection teams. WHAT YOU’LL DO: - Develop and maintain device software across the full episode lifecycle: session initialisation, per-sensor stream management, episode recording, and graceful shutdown - Integrate and synchronise sensor streams - wrist and head cameras, 6-DOF pose trackers, gripper aperture encoders, and optionally force/torque sensors - into temporally-aligned, policy-consumable trajectories - Define and maintain the data contract between UMI devices and the AI team: stream formats, episode packaging, metadata schemas, and the interface between raw recordings and training pipelines - Build and maintain data validation tooling that detects dropped frames, timing jitter, pose tracking loss, image quality degradation, and sensor faults before corrupt episodes enter the training dataset - Own operator-facing device software: status indication, start/stop/cancel episode controls, and clear feedback when a session needs to be retried - Support field data collection sessions - deploying devices to operators, validating data quality in situ, and iterating quickly when issues surface during collection - Debug integration failures on device hardware: camera driver issues, bus bandwidth saturation, tracker calibration drift, compute thermal throttling, and storage write failures mid-episode WE’RE LOOKING FOR: - Experience in embedded or device-level software in a robotics or sensing context - writing code that runs on the device, not just talking to it - Proficiency in C++ and/or Python for real-time sensor drivers, inter-process communication, and data recording pipelines - Solid understanding of multi-modal sensor synchronisation - timestamps, hardware triggers, clock drift - and the practical consequences of getting it wrong for downstream ML - Familiarity with camera pipelines and the difference between what a sensor reports and what actually lands on disk with correct timing - Strong instincts around data quality and dataset hygiene - you are uncomfortable shipping episodes with frame drops, tracking loss, or misaligned streams - Proven ability to debug on real hardware: you read logs, attach profilers, and can diagnose whether a problem is a driver, a bus, or a timing issue NICE TO HAVE: - Experience with 6-DOF pose tracking systems (VIO, optical trackers, or similar) and their common failure modes - Familiarity with ML training data formats and what an AI team actually needs from a recorded episode - understanding the consumer of the data you produce - Exposure to operator-facing tooling for data collection: session management, per-episode quality summaries, rejection and retry workflows - Experience scaling device software from a small number of prototype units to many devices operated by non-engineers in the field WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Требования: - Опыт коммерческой разработки от 2–3 лет - Уверенное владение TypeScript, React, Next.js - Понимание клиент-серверного взаимодействия (REST / API) - Опыт работы с UI-библиотеками и их кастомизации - Понимание принципов компонентного подхода - Опыт работы с системами контроля версий (Git) - Базовое понимание работы Docker Будет плюсом: - Опыт работы с NX (монорепозитории) - Опыт работы с Directus или другими headless CMS - Настройка и использование Sentry - Опыт интернационализации приложений - Участие в pet-проектах или open source Обязанности: - Разработка и поддержка клиентской части web-приложений на React / Next.js - Работа в монорепозитории (NX), переиспользование компонентов - Проектирование и развитие UI-компонентов - Интеграция с headless CMS (Directus) через REST / GraphQL - Настройка и поддержка интернационализации (i18n, next-intl) - Участие в код-ревью и улучшении качества кода - Оптимизация производительности приложений - Мониторинг и анализ ошибок через Sentry - Работа с Docker-окружением (локальный запуск сервисов) Технологический стек: - JavaScript (ES2020+) - TypeScript (обязателен, строгая типизация) - React (Hooks, Context, композиция компонентов) - Next.js (App Router, SSR / SSG / ISR) - Styled-Components (CSS-in-JS) - Ant Design (основная UI-библиотека) - Material UI (дополнительно) - i18n - next-intl - NX (монорепозиторий) - Docker - Sentry - REST / GraphQL - Directus (headless CMS) Условия: - Полностью удалённый формат работы - Гибкое начало рабочего дня (в рамках 8 часов) - Стабильную загрузку и понятные задачи - Возможность влиять на архитектуру и решения - Компенсацию обучения и развития - Конкурентную заработную плату