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3 дня назад

AI Engineering Lead (Cloud Security)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior/lead
Английский
b2
Страна
Israel
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 Engineering Lead (Cloud Security): Building and owning agentic workflows and backend infrastructure for an AI-driven cloud security platform with an accent on LLM orchestration, autonomous security operations, and production reliability. Focus on designing multi-step workflows, deploying AI capabilities through scalable APIs, and ensuring observability, performance, and safe operation in customer environments.

Location: Tel Aviv, Israel

Company

hirify.global develops a cloud security platform that uses runtime context, eBPF-powered sensors, and AI-driven capabilities to identify and prioritize critical cloud infrastructure risks.

What you will do

  • Build and maintain the orchestration engine for multi-step autonomous agents that investigate, reason about, and act on complex security operations.
  • Develop backend services and APIs to deploy AI capabilities safely and at scale.
  • Manage tool use, state management, retries, evaluation, and reliability across agentic workflows.
  • Translate AI research findings into production-grade autonomous workflows in collaboration with AI researchers.
  • Own observability and performance for agentic systems operating in customer environments.

Requirements

  • Mid-to-senior engineering experience or relevant technical military experience.
  • Strong backend engineering background focused on ML and AI systems.
  • Hands-on production experience with LLMs and agentic frameworks.
  • Ability to work in a fast-paced environment and bridge research with product engineering.

Nice to have

  • Experience with LangChain, LangGraph, or comparable agent-orchestration frameworks.
  • Experience with evaluation frameworks and observability for non-deterministic AI systems.

Culture & Benefits

  • Opportunity to work at the edge of applied AI and cloud security.
  • Hands-on ownership of systems moving from research prototypes to production infrastructure.
  • Creative, fast-paced environment focused on meaningful product impact.

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