Upwind Security ko‘p bulutli infratuzilmalardan foydalanadigan tashkilotlar uchun bulut xavfsizligi dasturiy ta’minotini ishlab chiqadi. Uning platformasi bulut xavfsizligi holatini boshqarish, ish vaqtidagi zaifliklarni boshqarish, API xavfsizligi va boshqa tegishli imkoniyatlarni birlashtirib, DevOps hamda xavfsizlik jamoalariga tahdidlarni real vaqt rejimida aniqlash, zaifliklarni ustuvorlashtirish va infratuzilma hamda ilovalar xatarlarini samaraliroq boshqarishga yordam beradi.
AI Engineering Lead for LLM Agents – Hybrid in Tel Aviv
Lead the development of production-grade LLM agent workflows and backend infrastructure for cloud security operations. Build reliable AI systems that investigate, reason about, and respond to complex security events.
Tavsif
- Create and maintain the orchestration layer for autonomous agents handling complex security operations
- Help develop shared infrastructure for models, data pipelines, training, evaluation, and observability
- Develop the agentic workflow engine, including tool use, state management, retries, and evaluation
- Build backend services and APIs that deliver AI capabilities securely and at scale
- Partner with AI researchers to turn research results into production-ready autonomous workflows
- Take ownership of the reliability, observability, and performance of production agentic systems
Talablar
- Mid- to senior-level engineering experience or relevant technical military experience
- Strong backend engineering expertise focused on machine learning and AI systems
- Practical experience building and deploying LLM applications and agentic frameworks
- Ability to work effectively in a fast-paced setting that connects research with product engineering
- Experience with LangChain, LangGraph, or a comparable agent-orchestration framework is a significant advantage
- Experience using evaluation frameworks and observability tools for non-deterministic AI systems