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7 часов назад

Senior Software Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Senior Software Engineer (AI): Building and maintaining developer-facing products and APIs focused on LLM and Agentic application development with an accent on developer ergonomics, scalability, and AI integration. Focus on designing, deploying, and optimizing ML services, developer tooling, and sandbox environments to deliver a high-quality developer experience.

Location: Onsite in San Francisco, California, USA

Company

hirify.global is a leader in enterprise orchestration, providing an AI-powered platform that helps businesses globally streamline operations by connecting data, processes, applications, and experiences.

What you will do

  • Design, build, and maintain robust, scalable developer-facing products and APIs for LLM and Agentic applications.
  • Collaborate with product managers, designers, developer relations, and engineers to translate needs into technical solutions.
  • Implement validation, monitoring, and observability for ML services in sandbox environments.
  • Drive full development lifecycle from ideation to deployment and continuous improvement.
  • Continuously optimize performance, scalability, and developer usability.
  • Conduct code reviews and mentor team members to uphold engineering standards.

Requirements

  • Must be located onsite in San Francisco, California, USA.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience.
  • 5+ years of professional software development experience with a track record of shipping high-quality products.
  • Proficient in Go, Python, Ruby, or JavaScript with hands-on experience with LLM models.
  • Experience deploying and maintaining ML services in production is a strong plus.
  • Strong understanding of API design, developer tooling, software architecture, data structures, and algorithms.
  • Excellent written and verbal communication skills in English.

Nice to have

  • Experience with LLMops/MLops, especially in developer-facing products.
  • Experience building or supporting developer platforms, APIs, or sandbox environments.

Culture & Benefits

  • Flexible, trust-oriented culture empowering ownership.
  • Focus on innovation and team collaboration.
  • Balance productivity with self-care.
  • Dynamic work environment with multiple benefits.

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