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9 часов назад

AI Engineer (Cybersecurity)

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

Текст:
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TL;DR
AI Engineer (Cybersecurity): Architecting and building LLM-powered systems for cybersecurity automation with an accent on RAG workflows, prompt engineering, and production-grade AI orchestration. Focus on designing scalable, reliable AI agents that solve complex enterprise problems while ensuring performance and safety.

Location: Must be based in or able to work from Boston, MA (Hybrid)

Company

hirify.global empowers security teams by shifting high-value tasks to intelligent AI agents, reshaping the future of cybersecurity and automation.

What you will do

  • Architect and build LLM-powered systems, including retrieval workflows, context management, and agent prompts.
  • Orchestrate AI workflows using frameworks like LangChain or LlamaIndex, integrating them with product APIs.
  • Drive prompt engineering and iteration to meet product quality and reliability goals.
  • Manage real-world evaluation metrics such as factual correctness, latency, and UX impact.
  • Develop reliable, scalable deployments with a focus on performance, cost efficiency, and observability.
  • Collaborate across product, platform, and backend teams to ensure seamless system integration.

Requirements

  • 6+ years of software engineering experience, with at least 1+ year building AI in production.
  • Strong software engineering skills in Python or TypeScript.
  • Experience with RAG, vector databases (e.g., Pinecone, Weaviate), and workflow frameworks.
  • Architectural mindset capable of designing end-to-end solutions with context windows and multi-step reasoning.
  • BS Degree in Computer Science or a related field.
  • Product-oriented mindset focused on delivering safe and reliable value to users.

Nice to have

  • Masters degree in Computer Science or related field.
  • Experience with multi-modal models or multi-agent system design.
  • Familiarity with AI safety guardrails, hallucination mitigation, and structured output enforcement.

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