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3 часа назад

Senior/Staff ML Systems Engineer (LLM)

200 000 - 275 000$
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/Staff ML Systems Engineer (LLM): Building and scaling technical infrastructure for AI/ML systems with an accent on LLMs and agentic workflows. Focus on designing robust pipelines, high-performance serving infrastructure, and governance tooling to deploy AI applications with speed and safety.

Location: Must be based in the United States

Salary: $200,000 - $275,000

Company

hirify.global provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt illicit blockchain activity.

What you will do

  • Build reusable CI/CD workflows for model training, evaluation, and deployment.
  • Develop a modular and scalable AI infrastructure stack including vector databases and model registries.
  • Partner with engineering and data science teams to embed AI models into real-time applications.
  • Evaluate and integrate state-of-the-art AI tools like LangChain, LlamaIndex, and vLLM.
  • Deploy infrastructure for offline and online evaluation of LLMs, including regression testing and cost monitoring.
  • Drive AI reliability, governance, and security across production environments.

Requirements

  • Must be based in the United States
  • Strong background in scalable infrastructure including containerization (Docker, Kubernetes) and IaC (Terraform).
  • Proficiency in writing high-quality, maintainable software, primarily in Python.
  • Deep understanding of MLOps best practices including model versioning, drift detection, and serving infrastructure.
  • Experience deploying and maintaining LLM and agentic workflows in production.
  • Demonstrated ownership and pragmatism in balancing infrastructure elegance with iterative delivery.

Culture & Benefits

  • High-velocity, mission-driven environment focused on solving complex problems in national security.
  • Distributed-first company culture with hubs in major US cities.
  • Opportunity to work with cutting-edge AI stacks and petabyte-scale data.
  • Emphasis on high ownership, adaptability, and continuous feedback.
  • Equity participation eligibility.

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