3 дня назад
AI Engineering Lead (Cloud Security)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineering Lead (Cloud Security): Building and owning agentic workflows and backend infrastructure for an AI-driven cloud security platform with an accent on LLM orchestration, autonomous security operations, and production reliability. Focus on designing multi-step workflows, deploying AI capabilities through scalable APIs, and ensuring observability, performance, and safe operation in customer environments.
Location: Tel Aviv, Israel
Company
develops a cloud security platform that uses runtime context, eBPF-powered sensors, and AI-driven capabilities to identify and prioritize critical cloud infrastructure risks.
What you will do
- Build and maintain the orchestration engine for multi-step autonomous agents that investigate, reason about, and act on complex security operations.
- Develop backend services and APIs to deploy AI capabilities safely and at scale.
- Manage tool use, state management, retries, evaluation, and reliability across agentic workflows.
- Translate AI research findings into production-grade autonomous workflows in collaboration with AI researchers.
- Own observability and performance for agentic systems operating in customer environments.
Requirements
- Mid-to-senior engineering experience or relevant technical military experience.
- Strong backend engineering background focused on ML and AI systems.
- Hands-on production experience with LLMs and agentic frameworks.
- Ability to work in a fast-paced environment and bridge research with product engineering.
Nice to have
- Experience with LangChain, LangGraph, or comparable agent-orchestration frameworks.
- Experience with evaluation frameworks and observability for non-deterministic AI systems.
Culture & Benefits
- Opportunity to work at the edge of applied AI and cloud security.
- Hands-on ownership of systems moving from research prototypes to production infrastructure.
- Creative, fast-paced environment focused on meaningful product impact.
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