Назад
5 часов назад

AI Infrastructure Engineer (AI)

180 000 - 225 000$
Формат работы
onsite
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

AI Infrastructure Engineer (Model Serving): Designing and building platforms for scalable, reliable, and efficient serving of LLMs with an accent on high-performance backend systems and fault tolerance. Focus on optimizing model integration for production, implementing token streaming and load balancing, and ensuring system observability.

Location: Must be based in San Francisco, New York, or Seattle

Salary: $180,000 - $225,000 USD

Company

Scale AI develops reliable AI systems for the world's most important decisions, providing high-quality data and full-stack technologies that power leading models for enterprises and governments.

What you will do

  • Build and maintain fault-tolerant, high-performance systems for serving LLM workloads at scale.
  • Develop an internal platform to empower LLM capability discovery.
  • Collaborate with researchers and engineers to integrate and optimize models for production and research.
  • Conduct architecture and design reviews to ensure system scalability and best practices.
  • Implement monitoring and observability solutions to ensure system health and performance.
  • Lead cross-functional projects end-to-end, from requirements gathering to implementation.

Requirements

  • 4+ years of experience building large-scale, high-performance backend systems.
  • Strong programming skills in Python, Go, Rust, or C++.
  • Experience with LLM serving and routing fundamentals (rate limiting, token streaming, load balancing).
  • Understanding of LLM concepts such as reasoning, tool calling, and prompt templates.
  • Proficiency with Docker, Kubernetes, and cloud infrastructure (AWS, GCP).
  • Experience with infrastructure as code using Terraform.

Nice to have

  • Experience with modern LLM serving frameworks such as vLLM, SGLang, TensorRT-LLM, or text-generation-inference.

Culture & Benefits

  • Comprehensive health, dental, and vision coverage.
  • Retirement benefits and a dedicated learning and development stipend.
  • Generous PTO and a commuter stipend.
  • Inclusive and equal opportunity workplace culture.

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