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AI Engineering Team Lead

Zafran Security·Israel·en
PresencialTiempo completoAI & Machine LearningCybersecurity

Lead the development of a new AI team responsible for shared AI infrastructure, developer tools, engineering standards, and production AI experiences within a cybersecurity software company.

Responsabilidades

  • Build and lead the AI team from the ground up.
  • Define, implement, and maintain company-wide AI platforms, infrastructure, and developer tools.
  • Enable R&D teams to build, test, deploy, and monitor AI capabilities independently.
  • Lead shared AI experiences and services across the organization.
  • Establish standards for quality, reliability, security, observability, and cost management.
  • Partner with Product, Engineering, DevOps, and Security Research teams on scalable AI solutions.
  • Remain hands-on with architecture, implementation, production issues, and technical decisions.
  • Mentor engineers and raise engineering standards for AI development.

Requisitos

  • Experience leading engineers in an AI, infrastructure, or backend team.
  • Strong software engineering and system design skills.
  • Production experience building AI-powered applications or infrastructure using large language models.
  • Experience with model APIs, retrieval, evaluation, prompt and context management, tool use, and agentic workflows.
  • Ability to design reliable, scalable, secure, observable, and cost-efficient systems.
  • Strong product thinking and ability to turn broad AI opportunities into practical capabilities.
  • Excellent cross-team collaboration and communication skills.
  • Ability to work in a fast-moving startup environment.

Se valora

  • Experience building internal developer infrastructure for multiple engineering teams.
  • Experience with model evaluation, safety controls, governance, or production monitoring.
  • Experience operating multi-tenant SaaS systems.
  • Background in cybersecurity or security-data products.
  • Experience establishing a new team or introducing AI practices across an engineering organization.

Compatibilidad

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