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3 дня назад

Engineering Team Lead (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Engineering Team Lead (AI): Leading a team designing and building an Access Management (AAM) platform end-to-end, from agent intent parsing to ephemeral session provisioning with an accent on securing machine-to-machine interactions and building observable AI agent pipelines. Focus on ensuring systems are secure, observable, and reliable at scale.

Location: Tel Aviv

Company

hirify.global is redefining how enterprises manage access in the age of AI, providing tools to manage access risks.

What you will do

  • Lead a team designing and building the AAM platform end-to-end.
  • Develop AI agents and workflows that understand user intent and take safe, validated actions across enterprise systems.
  • Own delivery end-to-end: architecture, implementation, automated testing, CI/CD, and monitoring.
  • Implement observability for every action: tracing, audits, reproducibility, and compliance-ready metadata.
  • Partner with product managers to translate requirements into scalable, secure solutions.
  • Mentor engineers and lead design/code reviews to ensure high-quality delivery.

Requirements

  • 2+ years leading engineering teams, ideally in cybersecurity, AI infrastructure, or adjacent spaces.
  • 6+ years of software engineering experience with a focus on scalable architecture and system design.
  • Strong Python/Node.js skills (or equivalent) for building backend services, tooling, and orchestration layers.
  • Proven experience working with LLMs and AI agents in applied, production settings.
  • Familiarity with LangGraph, LangChain, OpenAI, or Anthropic frameworks.
  • Strong understanding of security principles in modern cloud and SaaS environments.

Culture & Benefits

  • Opportunity to define a new category in Access Management (AAM).
  • Lead with impact, shaping how enterprises govern AI-driven systems.
  • Tackle cutting-edge challenges in securing machine-to-machine interactions and AI agent pipelines.
  • Grow engineers and culture, mentoring, coaching, and driving a culture of technical excellence.

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