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2 дня назад

Staff AI Engineer

169 400 - 211 700$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
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
Staff AI Engineer (AI/LLM): Designing and scaling enterprise AI platforms and distributed systems with an accent on agentic AI, LLM platforms, RAG pipelines, vector search, and AI orchestration. Focus on building production-grade AI services, defining reliability and governance guardrails, optimizing performance, and leading architecture across multiple engineering teams.

Location: Remote within the United States; listed locations are San Jose, CA, San Diego, CA, and Seattle, WA.

Salary: $169,400.00–$254,100.00 annually.

Company

hirify.global develops the Autonomous Knowledge Platform, connecting data, knowledge, and business context for enterprise intelligence across on-premises, cloud, and hybrid environments.

What you will do

  • Design and evolve large-scale distributed AI systems powering enterprise AI platforms and AI-native products.
  • Own architecture for agentic workflows, RAG pipelines, vector search, semantic retrieval, and AI orchestration frameworks.
  • Build scalable, secure, reusable platform services and APIs using LLMs, embeddings, vector databases, and agent-based architectures.
  • Define guardrails for reliability, safety, governance, and cost control in enterprise AI systems.
  • Partner with product management, architecture, research, and cloud platform teams on scalable AI solutions and roadmap decisions.
  • Drive testing, observability, evaluation, performance optimization, production readiness, engineering standards, and mentorship across teams.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
  • 8+ years of experience building backend services, distributed systems, or data/AI platforms.
  • Strong proficiency in Java, Go, or Python, with experience building large-scale services.
  • Deep understanding of distributed system design, scalability, fault tolerance, and cloud-native architectures.
  • Proven experience designing and operating production systems with SQL and NoSQL data stores.
  • Experience with LLMs, embeddings, vector databases, and AI orchestration frameworks.
  • Exposure to agentic AI patterns including tool calling, planning, memory, and multi-step reasoning.
  • Experience building or operating AI systems in AWS, Azure, or GCP environments.
  • Familiarity with Kubernetes, Docker, CI/CD pipelines, and production-grade observability.

Culture & Benefits

  • Flexible work model supporting decisions about when, where, and how to work.
  • People-first, inclusive culture focused on employee well-being.
  • Benefits generally include healthcare, life and disability insurance, retirement savings including a 401(k), and time off.
  • Eligibility for an annual incentive plan based on company financial performance and individual performance.

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