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2 часа назад

Senior AI/LLM Engineer (Cybersecurity)

148 000 - 201 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/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 AI/LLM Engineer (Python/RAG): Developing AI-powered intelligence workflows and RAG pipelines to analyze internet-scale data for threat hunting and security operations with an accent on LLM fine-tuning and automated evaluation. Focus on building scalable AI-driven analytics and ensuring secure, low-latency AI interactions within the hirify.global platform.

Location: Remote within the United States or Canada

Salary: $148,000 – $201,000 USD (depending on location)

Company

hirify.global provides real-time internet intelligence and actionable threat insights to global governments and Fortune 500 companies to help secure the internet.

What you will do

  • Rapidly prototype and deploy AI-powered features to enhance search, recommendations, and automated workflows.
  • Develop and fine-tune LLMs and RAG pipelines to reason over internet-scale data and deliver context-aware insights.
  • Build, scale, and maintain AI-driven analytics and automation systems to facilitate data-backed decisions.
  • Collaborate with frontend, product, and data engineering teams to integrate seamless AI-native experiences.
  • Evaluate and improve model performance using RAGAS, LangSmith, and automated regression testing frameworks.

Requirements

  • 5+ years of software engineering experience, including 2+ years building AI-powered user-facing features.
  • Strong proficiency in Python for backend and API services development.
  • Experience with RAG evaluation frameworks (e.g., RAGAS, LangSmith) and LLM pipeline regression testing.
  • Knowledge of prompt engineering to improve LLM accuracy, reasoning, and consistency.
  • Understanding of secure and responsible AI practices, including guardrails and safety checks.
  • Must be based in the continental US or Canada.

Nice to have

  • Advanced knowledge of AI/ML architectures and applied deep learning.
  • Experience with vector search and LLM fine-tuning.
  • Ability to optimize AI models for low-latency, real-time frontend interactions.
  • Experience deploying secure AI systems within cybersecurity or sensitive data domains.

Culture & Benefits

  • Comprehensive benefits package effective on day one.
  • 401k match, health, vision, and dental insurance.
  • Remote-first work environment for employees across the US and Canada.
  • Culture of learning and cross-team collaboration.

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