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18 дней назад

Staff AI Engineer (GenAI)

260 000 - 280 000$
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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Описание вакансии

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TL;DR

Staff AI Engineer (GenAI): Building and scaling a shared GenAI platform to enable product teams to ship high-value AI features with an accent on orchestration, RAG pipelines, and evaluation frameworks. Focus on designing reliable, production-ready AI infrastructure that leverages hirify.global's unique fitness datasets to improve athlete experiences.

Location: Must be based in San Francisco, CA (Hybrid: 3 days per week on-site)

Salary: $260,000 – $280,000

Company

hirify.global is the world's largest community of active people, providing a platform for athletes to track workouts and connect with others.

What you will do

  • Design and build a shared GenAI platform including LLM orchestration, prompt management, and RAG pipelines.
  • Develop self-serve interfaces and golden paths to enable product teams to ship AI features without deep AI expertise.
  • Drive projects from architecture through production deployment, ensuring latency, reliability, and cost-efficiency.
  • Collaborate with product engineers, PMs, and data teams to define the GenAI roadmap and AI capabilities.
  • Apply engineering rigor to AI platforms, including versioning, SLAs, monitoring, and deprecation paths.
  • Utilize extensive fitness and geo datasets to extract actionable insights and power novel athlete experiences.

Requirements

  • 5+ years of experience building and operating complex, production AI or backend systems at scale.
  • Demonstrated experience building AI platform tooling or developer-facing infrastructure for LLM/ML systems.
  • Hands-on experience with LLMs in production, including agentic workflows, RAG, and evaluation frameworks.
  • Proficiency in search systems such as Elasticsearch, OpenSearch, or Vector Search.
  • Strong backend development skills in Python or Go with experience in cloud environments (AWS) and containerization (Kubernetes, Docker).
  • Strong technical leadership with the ability to lead multi-team projects and mentor engineers.

Culture & Benefits

  • Work on a well-loved consumer product used by tens of millions of athletes worldwide.
  • Flexible hybrid work model with a focus on collaborative in-office time.
  • Inclusive and collaborative team culture that values diverse backgrounds and perspectives.
  • Competitive compensation package including equity.
  • Commitment to professional growth and a world-class workplace environment.

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