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9 часов 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 (Go/Python/LLM): Building AI-enabled data platform services for reporting, analytics, semantic modeling, caching, and data discovery with an accent on accuracy, governance, and scalable query execution. Focus on developing agentic analytics, optimizing retrieval and context, and operating distributed data services across Snowflake, Spark, and ClickHouse.

Location: San Francisco, CA or Sunnyvale, CA

Salary: $130,600–$192,000, $159,800–$235,000, or $193,800–$285,000 USD annually, depending on work location and level. Equity grants may also be included.

Company

hirify.global operates an on-demand logistics platform connecting consumers, merchants, and delivery workers.

What you will do

  • Build agentic analytics and AI-assisted query-authoring features for thousands of users.
  • Develop reporting platform capabilities including authoring, dashboard runtime, drill-downs, cross-filtering, scheduling, alerting, permissions, certification, and embedding.
  • Stream large result sets to browsers and render interdependent dashboard components.
  • Evolve semantic layers, metric and dimension models, metadata, lineage, and governance.
  • Own query planning, federation, adaptive caching, invalidation, and safe execution under bursty agent traffic.
  • Build AI-enabled services, assistant evaluation tooling, and data discovery platforms.

Requirements

  • Bachelor’s, master’s, or doctoral degree in computer science or equivalent experience.
  • 3+ years of industry software engineering experience.
  • Strong backend engineering fundamentals with Go and Python, including production service ownership.
  • Experience shipping LLM-powered features using retrieval, grounding, and evaluation systems.
  • Experience building data platform products such as semantic layers, data discovery, reporting, caching, or data applications.
  • Production experience with AWS or a similar cloud environment, Kubernetes, MCP or agent frameworks, and tool-calling architectures.

Nice to have

  • Full-stack engineering experience.
  • Experience with reporting and analytics tools, data governance, controls, and multi-tenant data platforms.
  • Experience with prompt and context optimization, token budgeting, caching, and cost or latency tuning.

Culture & Benefits

  • Work on a 24x7 global infrastructure platform serving consumers, merchants, and delivery workers.
  • Medical, dental, and vision insurance, disability and life insurance, and mental health support.
  • 401(k) plan with employer matching and commuter benefits matching.
  • 16 weeks of paid parental leave, family-forming assistance, paid holidays, paid time off, and paid sick leave.
  • Salaried roles receive flexible vacation time and 80 hours of paid sick time annually.

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