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5 дней назад

Senior Software Development Engineer (AI)

156 000 - 234 000$
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 Development Engineer (AI): Building and operating large-scale model-serving infrastructure for traditional ML models and open-weight LLMs with an accent on distributed systems, Kubernetes GPU infrastructure, performance, and reliability. Focus on scaling high-throughput production services, optimizing inference and GPU utilization, and maintaining observability, CI pipelines, and platform stability.

Location: Boulder, Colorado, USA; hybrid work with at least 50% of each quarter spent in the office or in the field.

Salary: $156,000–$234,000 annual base salary for Boulder; additional US locations offer $148,200–$264,000.

Company

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

What you will do

  • Lead technical design decisions for a high-throughput AI model-serving platform.
  • Design, implement, and maintain distributed systems that move ML models into production.
  • Build infrastructure for hosting and scaling traditional ML models and open-weight LLMs.
  • Improve performance, reliability, observability, and cost governance across production services.
  • Troubleshoot alerts, debug production incidents, and scale continuous integration pipelines.
  • Collaborate with software engineers, ML engineers, and data scientists while mentoring engineers and documenting technical decisions.

Requirements

  • 6+ years of software development experience focused on large-scale distributed systems.
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • Deep production experience with Python, distributed systems, and the full software development lifecycle.
  • Hands-on Kubernetes and GPU infrastructure experience, including GPU utilization, inference engines such as vLLM or TGI, LoRA, and hardware-metric autoscaling.
  • Knowledge of serving, scaling, and monitoring both LLMs and traditional ML models in production.
  • Strong observability, communication, design documentation, consensus-building, and engineering mentorship skills.

Culture & Benefits

  • Flexible hybrid work combining office and remote scheduling.
  • At least 50% of each quarter is spent in the office or with customers, prospects, and partners in the field.
  • Eligibility for the hirify.global Bonus Plan or role-specific bonus and annual refresh stock grants may apply.
  • Comprehensive benefits and reasonable workplace accommodations are available.

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