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1 день назад

Software Development Engineer (AI Infrastructure)

130 400 - 195 600$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US/Canada
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 Development Engineer (AI Infrastructure): Building backend services, developer tooling, and APIs for an AI infrastructure platform that enables teams to deploy, test, and operate AI agents in production with an accent on distributed systems, orchestration, Kubernetes, and developer experience. Focus on designing reliable and scalable workflows, improving observability and fault tolerance, and supporting LLM-powered applications through their software development lifecycle.

Location: Boulder, Colorado, United States; Vancouver, British Columbia, Canada. Flex Work requires spending at least 50% of each quarter in the office or in the field with customers, prospects, and partners, depending on the role.

Annual base salary: $130,400–$195,600 USD for the primary Boulder location; $123,900–$222,000 USD for additional US locations. The role may also be eligible for a bonus or commission and annual refresh stock grants.

Company

hirify.global is a Fortune 500 company and AI platform for managing people, money, and enterprise workflows.

What you will do

  • Build and maintain services and tooling for AI agent deployment, testing, and lifecycle management within CI/CD pipelines.
  • Develop workflow coordination, state management, tool integration, and multi-step processing systems.
  • Write maintainable Python code for platform capabilities and APIs.
  • Deploy and operate services on Kubernetes with a focus on reliability and scalability.
  • Improve observability through logging, tracing, monitoring, and debugging of distributed workflows.
  • Collaborate with engineers, product managers, and AI teams on production-ready infrastructure and contribute to architecture decisions.

Requirements

  • 3+ years of software development experience building backend systems or services.
  • Strong proficiency in Python or similar languages such as Go or Java.
  • Experience designing and building distributed systems and scalable services.
  • Experience running and operating services in Kubernetes-based environments.
  • Familiarity with machine learning or LLM-powered applications and the challenges of deploying and operating them in production.
  • Experience designing systems for reliability, scalability, observability, and maintainability.
  • Strong understanding of APIs, asynchronous processing, and service-oriented architecture.
  • Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
  • Ability to navigate ambiguity, make sound technical decisions, and drive projects end-to-end, with strong collaboration and communication skills.
  • Experience with platforms, infrastructure, developer tooling, workflow orchestration, monitoring, logging, observability tools, cloud platforms, and modern deployment practices including CI/CD.
  • Experience with agent-based systems, workflow orchestration, or complex multi-step pipelines from an infrastructure or SDLC perspective.
  • Familiarity with LLM application patterns including tool integration, retrieval-augmented generation, context and memory management, and multi-step workflows.
  • Experience with observability stacks, tracing systems, and debugging distributed workflows.
  • Familiarity with model serving, vector databases, or evaluation frameworks in an MLOps context.
  • Experience mentoring engineers and contributing to technical direction.

Culture & Benefits

  • Flexible work combines in-person collaboration with remote work.
  • Remote home-office roles may come together in company offices for important events and moments.
  • Benefits may include a hirify.global Bonus Plan or role-specific commission/bonus and annual refresh stock grants.
  • hirify.global provides reasonable accommodations during the application process and is an equal opportunity employer.

Hiring process

  • Recruiters can provide additional compensation details during the hiring process.
  • The application deadline is November 13, 2026.

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