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Senior Backend Engineer (AI)

130 000 - 162 200$
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

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TL;DR
Senior Backend Engineer (AI): Design, build, and run cloud backend services for AI-powered features using LLMs with an accent on scalable, highly available microservices on Azure and Kubernetes. Focus on building LLM-powered features, event-driven asynchronous architectures, and end-to-end delivery including Terraform, CI/CD, and production incident response.

Location

Location: U.S. Remote

Salary

Estimated Base Salary $130K – $162.2K • Offers Equity • Offers Bonus

Company

hirify.global is a pioneer in securing human and machine identities through intelligent, centralized authorization, leveraging AI-powered intelligence in a cloud-native Identity Security Platform.

What you will do

  • Build and run scalable, highly available backend services in C#/.NET, Python, and Go on Azure and Kubernetes.
  • Develop LLM-powered features on platforms like Azure AI Foundry including model integration, context pipelines, RAG, tool calling, agents, and evaluation.
  • Design event-driven, asynchronous architectures across microservices.
  • Own delivery end to end: Terraform, CI/CD, monitoring, and production incident response.
  • Collaborate closely with product, UX, and platform teams; participate in code and design reviews.
  • Use AI-assisted development tools daily to design, write, and review code.

Requirements

  • Location: Must be based in the U.S.
  • Degree in Computer Science or related field, or equivalent experience.
  • 8+ years experience designing and building production backend services in C#/.NET, Python, or Go.
  • Hands-on experience building products with LLMs including inference, structured outputs, RAG, tool calling, or agents on platforms like Azure AI Foundry, OpenAI API, Amazon Bedrock, Google Vertex AI, or Anthropic API.
  • Fluency with AI-assisted development tools and practices.
  • Strong knowledge of distributed systems, API design, microservices, and major cloud providers.
  • Understanding of multi-tenant SaaS architecture and operating at scale.

Nice to have

  • Experience building tools, APIs, or integrations for AI agents (MCP servers, function/tool-calling interfaces, plugins).
  • ML and MLOps experience including fine-tuning, evaluation harnesses, and production model deployment.
  • Experience with Kubernetes, Terraform, and CI/CD pipelines.
  • Background in identity security, PAM, or Zero Trust.

Culture & Benefits

  • Meaningful work protecting human and machine identities for large organizations.
  • Culture of innovation, collaboration, and career progression.
  • Competitive salaries, bonus programs, healthcare insurance, pension/retirement matching, life insurance, employee assistance, paid time off, and holidays.
  • Core values: Spirited, Trust, Respect, Ownership, Nimble, Global.

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