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5 часов назад

Principal Software Engineer (AI)

220 000 - 250 000$
Формат работы
hybrid
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

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TL;DR

Principal Software Engineer (AI/Distributed Systems): Developing core platforms for intelligent networking and agentic AI systems with an accent on scalability, real-time data processing, and autonomous agents. Focus on building high-performance distributed systems that enable AI agents to reason, plan, and act on behalf of users.

Location: Hybrid (Seattle, WA / San Jose, CA). Must be based in the USA.

Salary: $220,000 – $250,000

Company

Global leader in end-to-end, cloud-driven networking solutions trusted by over 50,000 customers worldwide.

What you will do

  • Lead the development of core platforms and services for intelligent networking and agentic AI.
  • Build scalable, secure, and reliable systems to process large volumes of real-time network and operational data.
  • Develop AI experiences enabling autonomous agents to reason, remember, plan, and collaborate.
  • Design high-performance distributed systems and cloud-native platforms for enterprise use cases.
  • Mentor engineers and serve as a technical lead for highly complex and ambiguous technical problems.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience.
  • 8+ years of experience in the full software development lifecycle, including architecture and production operations.
  • Proficiency in at least one general-purpose language: Python, Java, Go, or C++.
  • 5+ years of experience architecting large-scale distributed systems on cloud platforms (AWS, Azure, or GCP).
  • Experience with real-time microservices, stream processing, or AI/agentic systems.
  • Work authorization: Unable to sponsor or take over sponsorship of employment visas (including H-1B) at this time.

Nice to have

  • Master's or PhD in CS, Machine Learning, or a related technical discipline.
  • Experience building Generative AI systems, including tool use, planning, and orchestration.
  • Proficiency with distributed data technologies such as Kafka, Spark, Flink, or PySpark.
  • Experience developing network management, observability, telemetry, or control-plane systems.

Culture & Benefits

  • Comprehensive medical, dental, and vision insurance.
  • Retirement savings programs, including 401K matching in the US.
  • Flexible work schedules and work-from-home opportunities where role permits.
  • Paid time off, including open time off in eligible markets.
  • Employee Stock Purchase Program and tuition reimbursement.

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