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7 дней назад

Software Engineer (AI)

227 800 - 338 800$
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
Software Engineer (AI): Building an enterprise AI agent platform for automating complex workflows across on-premises and multi-cloud environments with an accent on agent orchestration, enterprise data retrieval, tool calling, and developer-facing APIs. Focus on defining product architecture, designing fault-tolerant cloud systems, scaling distributed services, and leading technical execution for production AI infrastructure.

Location: Bellevue, Washington, United States; hybrid working environment with in-office and in-person expectations

Salary: $227,800–$338,800 USD annually, with final compensation based on location, qualifications, experience, and education.

Company

hirify.global delivers enterprise data infrastructure, unified storage, cloud data services, and solutions for AI and multicloud environments.

What you will do

  • Define architecture covering service boundaries, data models, API contracts, runtime design, and AI-to-enterprise integration patterns.
  • Build agent orchestration, knowledge bases, enterprise-data retrieval, tool-calling, and multi-cloud execution systems.
  • Develop reliable customer-facing APIs, SDKs, and tooling.
  • Lead design reviews, engineering standards, technical execution, and delivery quality.
  • Mentor engineers and raise the team’s technical bar.

Requirements

  • 12+ years of software development experience.
  • 7+ years designing fault-tolerant, highly scalable cloud architectures and cloud-native services on AWS, Azure, or GCP.
  • Strong server-side engineering experience with Node, Python, Java, Go, or Rust.
  • Production experience building RESTful APIs, microservices, distributed systems, and SQL or NoSQL-backed services.
  • Experience with CI/CD, cloud security, authentication and authorization, encryption, and compliance.
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Nice to have

  • Experience building AI agents or LLM-powered products with tool calling, RAG, and prompt orchestration.
  • Knowledge of agentic design patterns, context management, multi-step reasoning, and grounding models in enterprise data.
  • Experience with Docker, Kubernetes, Terraform, or CloudFormation.
  • Background in enterprise infrastructure, cloud data services, or storage systems.
  • Previous experience as a principal engineer or technical lead.

Culture & Benefits

  • Hybrid work designed to support collaboration and connection.
  • Health insurance, life insurance, retirement or pension plans, paid time off, and leave options.
  • Performance-based incentives, employee stock purchase plans, and possible RSUs, subject to regional policies.
  • Culture focused on initiative, ownership, innovation, inclusion, and work-life balance.

Hiring process

  • Applications are reviewed through the company website.
  • Some stages for selected roles may use AI tools to support application evaluation and candidate selection.

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