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2 часа назад

AI Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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 Engineer (LLM Agents): Building production-grade agentic infrastructure and AI agents that automate complex workflows across an enterprise identity graph with an accent on reliability, observability, security, latency, and cost. Focus on integrating LLMs and agent frameworks, designing microservices and asynchronous systems, and delivering stable agentic capabilities for identity security.

Location: On-site in Tel Aviv, Israel

Company

hirify.global is building an AI-native Identity Operating System for enterprise identity and access management, backed by a $60M seed round.

What you will do

  • Architect and ship production-grade agentic capabilities as product features.
  • Design and build AI agents that operate across the identity graph and automate complex identity workflows.
  • Evaluate and integrate emerging LLMs, agent frameworks, and agent infrastructure.
  • Make build-versus-integrate decisions based on production requirements.
  • Partner with R&D and product leadership to identify high-leverage opportunities for agentic automation.

Requirements

  • 8+ years of backend engineering experience with high-level programming languages such as Go or Python.
  • Hands-on experience building and shipping production LLM agent systems using frameworks such as LangGraph, Strands Agents, or ADK.
  • Experience with model gateways or routing layers.
  • Extensive experience with microservices, databases, and asynchronous systems.
  • Strong architectural judgment, self-direction, and a delivery-focused approach.
  • Bachelor of Science in Computer Science, Software Engineering, or equivalent experience.

Culture & Benefits

  • Work on the foundational AI-native core of an enterprise identity security platform.
  • Collaborate closely with R&D and product leadership.
  • Explore modern development tools, emerging technologies, and AI paradigms.
  • Own foundational work across reliability, observability, security, latency, deterministic behavior, and cost.

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