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8 часов назад

Staff R&D Software Engineer (AI)

196 033 - 245 041$
Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Staff R&D Software Engineer (AI): Building and scaling the governed context layer for AI agents with an accent on retrieval techniques, agentic workflows, and production-grade infrastructure. Focus on defining technical direction across teams, prototyping emerging AI research, and ensuring system reliability at scale.

Location: Must be based in or able to commute to Oakland, CA (Hybrid: 2 days/week in office)

Salary: $196,033 — $245,041.50 USD

Company

hirify.global is a leading data infrastructure company that automates data movement and transformation, helping organizations build a trusted foundation for analytics and AI.

What you will do

  • Research and prototype emerging techniques in retrieval, reasoning, and agentic AI to inform the product roadmap.
  • Build and maintain full-stack systems, from Agents Schema pipelines to the Context Catalog UI.
  • Define technical direction across multiple teams to ensure architectural consistency.
  • Drive AISQL capabilities, enabling natural language to SQL grounded in dbt metric definitions.
  • Take ownership of production reliability, including on-call rotation, incident response, and SRE practices.
  • Mentor engineers and contribute to hiring and interview processes.

Requirements

  • 8+ years of programming experience with Python and/or Java.
  • Proven ability to work fluidly across the full stack (backend, frontend, SRE, and QA).
  • Experience with SQL and modern data warehouses like BigQuery, Snowflake, or Databricks.
  • Track record of taking high-level, ambiguous direction and independently executing concrete plans.
  • Strong product awareness and ability to evaluate AI/ML research for production viability.
  • Demonstrated leadership in defining technical direction and mentoring other engineers.

Nice to have

  • Experience with LLM-powered applications, RAG pipelines, or agent frameworks.
  • Familiarity with semantic layers like dbt or LookML.
  • Background in SRE, monitoring, and incident response.
  • Experience with cloud environments (AWS, GCP, Kubernetes).

Culture & Benefits

  • 100% employer-paid medical insurance.
  • Generous PTO, sick time, parental leave, and volunteer days.
  • RSU stock grants and professional development opportunities.
  • Monthly cell phone stipend and mental health support platform.
  • Hybrid work model with in-person collaboration in Oakland.

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