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обновлено 7 дней назад

Full Stack 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
Full Stack Team Lead (AI): Building production-grade AI agents and full-stack experiences that help users investigate security and data environments, surface insights, and take action with an accent on agent workflows, tool integrations, orchestration, memory, and safe execution. Focus on leading engineers, shaping architecture, integrating AI across the platform, and delivering reliable experiences for massive-scale cloud and sensitive-data environments.

Location: Tel Aviv, Israel

Company

Cyera builds a unified security control plane for protecting data, access, behaviors, and AI capabilities across enterprise environments.

What you will do

  • Lead, mentor, and grow a team of full-stack engineers while providing technical guidance and architectural direction.
  • Design, build, and ship production-grade AI agents with workflows, tool integrations, orchestration, memory, and safe execution capabilities.
  • Develop systems that process massive-scale cloud assets and sensitive data, delivering insights through AI, APIs, and intuitive user experiences.
  • Collaborate with Product Managers, UI/UX designers, and engineering teams to integrate AI capabilities throughout the platform.
  • Improve performance, reliability, developer productivity, and the quality of AI systems while delivering customer value quickly.

Requirements

  • 4+ years of experience as a Full Stack Engineer.
  • 2+ years of engineering management experience.
  • Experience with JavaScript/TypeScript and strong expertise in React, Vue.js, or a similar frontend framework.
  • Backend expertise in Node.js, TypeScript, Java, Scala, Python, Ruby, .NET, or similar technologies.
  • Ability to provide technical leadership, make architectural decisions, and collaborate effectively.
  • Strong product and customer orientation, leadership, communication, and mentoring skills.

Nice to have

  • Experience building AI agents or LLM-powered applications.
  • Practical experience with agent frameworks, tool use, orchestration, prompt engineering, retrieval-augmented generation, memory, guardrails, or evaluation.

Culture & Benefits

  • Ownership over what is built and how work is done.
  • Empowerment to take initiative, move quickly, and turn ideas into impact.
  • Emphasis on challenging the status quo, learning quickly, and continuously raising engineering standards.
  • Collaborative environment that values diverse backgrounds, perspectives, and experiences.

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