Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$131к-192к/год
$150к$170кмедиана$220к
По похожим ролям (50) ~ $170к/год
На СНГ рынке: $3.2к/мес ($2.3к - $4.2к)
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Сильная роль на стыке AI и платформ данных в крупной продуктовой компании, но зарплата ниже рыночной медианы, а зона ответственности довольно широкая.
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Ниже рынкаШирокая зона задачПередовой стекХорошие льготы
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Software Engineer, Data and AI Platform (AI/Data Platforms): Building agentic analytics, reporting, semantic-layer, and metadata services for DoorDash’s data platform with an accent on accuracy, governance, and scalable query execution. Focus on developing LLM-powered features, adaptive caching across query engines, streaming large result sets, and AI assistant evaluation workflows.
Location: San Francisco, CA or Sunnyvale, CA, United States
Salary: $130,600–$192,000 USD annual base salary, plus potential equity grants.
Company
hirify.global operates an on-demand logistics platform and develops global infrastructure for a marketplace connecting consumers, merchants, and delivery workers.
What you will do
Build agentic analytics and AI-assisted reporting features for thousands of users.
Develop data platform capabilities for report authoring, dashboard runtime, drill-downs, cross-filtering, scheduling, alerting, certification, permissions, and embedding.
Stream large result sets to browsers and render interdependent dashboard components.
Evolve semantic-layer modeling, metric and dimension governance, lineage, metadata, and data discovery platforms.
Own query planning, federation, adaptive caching, cache invalidation, and safe execution across multiple query engines.
Develop AI-enabled services, assistant workflows, evaluation tooling, and production data applications.
Requirements
B.S., M.S., or PhD in Computer Science or equivalent experience.
3+ years of industry software engineering experience.
Strong backend engineering skills with Go and Python, including production service ownership.
Experience shipping LLM-powered features, retrieval and grounding systems, and evaluation systems to real users.
Experience building data platform products such as semantic layers, data discovery, reporting applications, caching systems, or data applications.
Production experience with AWS or a similar cloud environment, Kubernetes, MCP or agent frameworks, reporting and analytics tooling, governance, and multi-tenant data platforms.
Nice to have
Full-stack engineering experience.
Culture & Benefits
Comprehensive benefits for regular employees, including medical, dental, and vision coverage.
401(k) plan with employer matching, paid parental leave, paid time off, and paid sick leave.
Wellness, commuter, mental health, disability, life insurance, and family-forming benefits.
Flexible paid time off for salaried roles and 11 paid holidays.
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