Senior Backend Engineer (AI Platform, Data Orchestration & Geospatial Systems)
Контакты
220 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
aipythonbackendsaasinfrastructure as codemachine learningstartupgeospatial datadata orchestration
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Средняяразвернуть
$220к/год
$210к$240кмедиана$280к
По похожим ролям (49) ~ $240к/год
На СНГ рынке: $4.3к/мес ($3.7к - $5.1к)
83
Хорошая вакансия
развернуть
Чёткая зона ответственности senior-уровня и работа в развивающейся сфере AI выглядят привлекательно, но ранняя стадия компании и широкий охват backend, данных и деплоя добавляют неопределённости.
?Широкая зона ответственности
Современный стек
Сфера AI
Влияние на продукт
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Backend Engineer (AI Platform, Data Orchestration & Geospatial Systems): Building production backend services, data orchestration pipelines, and deployment foundations for an AI platform supporting inference, optimization, machine learning models, and multimodal built-environment data with an accent on Python, geospatial systems, and scalable data representations. Focus on designing complex backend capabilities, deploying AI services reliably, and taking systems from early prototype through production release.
Location: Bay Area; San Mateo, United States, California
Salary: $220,000 per year
Company
An early-stage AI company is building technology to make housing and building development more sustainable, efficient, and equitable through an interdisciplinary AI platform.
What you will do
Design and implement robust, production-level backend software for a SaaS platform.
Build services supporting inference, optimization, and other AI-driven capabilities.
Develop scalable representations and schemas for complex data types.
Build data orchestration pipelines for geospatial, regulatory, and multimodal data.
Partner with AI engineers to deploy machine learning models and services reliably.
Create reproducible deployment workflows and own capabilities from prototype through production release.
Requirements
At least five years of experience building large, complex software systems or applications, including five or more years of professional software engineering experience.
Strong Python development skills and experience delivering production-quality backend software.
Experience working with messy, complex datasets and building data orchestration pipelines and workflows.
Strong problem-solving skills and comfort working across multiple technical areas.
Ability to collaborate with engineers, scientists, domain experts, and product managers.
Bachelor’s degree in computer science or equivalent practical experience.
Nice to have
No optional qualifications specified.
Culture & Benefits
Permanent position.
Opportunity to shape an AI platform and its technical foundations at an early stage.
Broad ownership across backend software, data infrastructure, and AI deployment.
Work on engineering problems connected to sustainability and global housing needs.
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