Full Stack Team Lead - AI Team

Cyera Cyera · Vertical AI · Tel Aviv, Israel · R&D

Lead a team of full-stack engineers to build and ship production-grade AI agents, including agent workflows, tool integrations, orchestration, memory, and safe execution capabilities. Work with large-scale datasets to extract insights delivered through AI, APIs, and user experiences. Collaborate with product, design, and other engineering teams to integrate AI capabilities across the platform.

What you'd actually do

  1. Lead and mentor a team of full-stack engineers, providing technical guidance, architectural direction, and support to ensure successful delivery.
  2. Design, build, and ship production-grade AI agents, including agent workflows, tool integrations, orchestration, memory, and safe execution capabilities, enabling users to reason over Cyera's data and take action with confidence.
  3. Work with massive-scale datasets. Our customers manage petabytes of cloud assets and sensitive data, and you'll build systems that extract insights and deliver them through AI, APIs, and intuitive user experiences.
  4. Collaborate closely with Product Managers to shape product direction, with UI/UX designers to craft exceptional AI-powered experiences, and with engineering teams across the company to integrate AI capabilities throughout the platform.
  5. Continuously improve performance, reliability, developer productivity, and the quality of our AI systems while maintaining a high engineering bar.

Skills

Required

  • 4+ years of experience as a Full Stack Engineer
  • 2+ years of engineering management experience
  • Deep knowledge of JavaScript/TypeScript
  • 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 and drive architectural decisions
  • Strong product and customer orientation
  • Excellent leadership, communication, and collaboration skills

Nice to have

  • Experience building AI agents or LLM-powered applications
  • practical experience with one or more of the following areas: agent frameworks, tool use, orchestration, prompt engineering, retrieval-augmented generation (RAG), memory, guardrails, evaluation, or similar production AI capabilities

What the JD emphasized

  • production-grade AI agents
  • agent workflows
  • tool integrations
  • orchestration
  • memory
  • safe execution capabilities
  • reason over Cyera's data
  • take action with confidence
  • massive-scale datasets
  • petabytes of cloud assets
  • sensitive data
  • extract insights
  • deliver them through AI
  • APIs
  • intuitive user experiences
  • AI capabilities
  • performance
  • reliability
  • developer productivity
  • quality of our AI systems
  • high engineering bar
  • meaningful customer value quickly
  • without compromising quality
  • AI agents or LLM-powered applications
  • agent frameworks
  • tool use
  • orchestration
  • prompt engineering
  • retrieval-augmented generation (RAG)
  • memory
  • guardrails
  • evaluation
  • production AI capabilities

Other signals

  • AI agents
  • production-grade agents
  • agent workflows
  • tool integrations
  • orchestration
  • memory
  • safe execution capabilities
  • reason over data
  • LLM-powered applications