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10 дней назад

Software Engineer, Data and AI Platform

130 600 - 192 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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