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4 часа назад

Senior or Staff AI Infrastructure Engineer (AI)

200 000 - 275 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Mexico/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

Senior or Staff AI Infrastructure Engineer (AI/MLOps): Building and scaling the technical infrastructure for AI/ML systems with an accent on LLM pipelines, agentic systems, and production-ready observability. Focus on designing reusable CI/CD workflows, automating model versioning, and optimizing model performance and latency.

Location: Remote (North America)

Salary: $200,000 – $275,000

Company

hirify.global provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime through blockchain analysis.

What you will do

  • Build reusable CI/CD workflows for model training, evaluation, and deployment using GitHub Actions and Langfuse.
  • Develop a modular AI infrastructure stack including vector databases, feature stores, and model registries.
  • Partner with engineering and data science teams to embed AI models and agents into real-time applications.
  • Evaluate and integrate state-of-the-art AI tools such as LangChain, LlamaIndex, vLLM, and MLflow.
  • Drive AI reliability and governance, ensuring security, compliance, and uptime for production systems.
  • Implement infrastructure for offline and online LLM evaluation, including regression testing and cost monitoring.

Requirements

  • Experience writing high-quality, maintainable software, primarily in Python.
  • Strong background in scalable infrastructure, including Docker, Kubernetes, and Terraform.
  • Proficiency in MLOps best practices: model versioning, drift detection, and scalable serving (vLLM, Triton).
  • Experience deploying and maintaining LLM and agentic workflows in production.
  • Must be based in North America.
  • High level of applied AI fluency in daily workflows.

Culture & Benefits

  • Participation in the company equity plan.
  • Distributed-first work environment with hubs in major global cities.
  • High-velocity culture emphasizing personal ownership, accountability, and rapid iteration.
  • Focus on master craftsmanship and professional growth in the AI/National Security domain.

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