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4 часа назад

Senior Software Engineer (AI)

170 000 - 253 000$
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

Senior Software Engineer (AI): Building an enterprise AI agent platform to automate complex workflows for Fortune 500 companies with an accent on agentic frameworks and production cloud engineering. Focus on designing scalable backend services, implementing RAG and tool-calling mechanisms, and developing developer-facing SDKs and APIs.

Location: Hybrid in Bellevue, Washington, United States

Salary: $170,000 – $253,000

Company

hirify.global is a leader in intelligent data infrastructure, providing unified storage and integrated data services across multicloud environments.

What you will do

  • Design and build AI agent systems capable of reasoning and taking reliable action within complex enterprise environments.
  • Develop backend services, APIs, and orchestration layers for agent execution and knowledge retrieval.
  • Create developer-facing surfaces, including APIs, SDKs, and tooling for internal and external use.
  • Own features end-to-end, covering architecture, implementation, testing, deployment, and production support.
  • Make foundational design decisions regarding data models, API contracts, and infrastructure scaling patterns.

Requirements

  • 8+ years of professional software development experience.
  • 3+ years of experience building cloud-native, fault-tolerant, and highly scalable architectures.
  • Strong server-side engineering proficiency in Node.js, Python, Java, Go, or Rust.
  • Experience building RESTful APIs and microservices backed by SQL or NoSQL data stores.
  • Proven ability to build and maintain CI/CD pipelines using tools like Jenkins, GitHub Actions, or Azure DevOps.
  • Must be based in or able to work from the Bellevue, WA office in a hybrid capacity.

Nice to have

  • Experience with LLM integration, AI agent frameworks, RAG, and prompt engineering.
  • Familiarity with agentic design patterns such as tool-use protocols and context management.
  • Proficiency with AWS, Azure, GCP, Docker, Kubernetes, and Terraform.
  • Experience in enterprise cloud infrastructure, data management, or storage systems.

Culture & Benefits

  • Comprehensive benefits package including Health and Life Insurance.
  • Retirement/Pension plans and employee stock purchase plans (RSUs).
  • Hybrid work environment designed to balance professional ambition with personal life.
  • Paid Time Off and various leave options.
  • A culture that rewards initiative, impact, and ownership of results.

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