Upwind Security बहु-क्लाउड अवसंरचनाओं पर काम करने वाले संगठनों के लिए क्लाउड सुरक्षा सॉफ़्टवेयर विकसित करती है। इसका प्लेटफ़ॉर्म क्लाउड सुरक्षा स्थिति प्रबंधन, रनटाइम भेद्यता प्रबंधन, API सुरक्षा और संबंधित क्षमताओं को एक साथ लाता है, ताकि DevOps और सुरक्षा टीमें वास्तविक समय में खतरों का पता लगा सकें, भेद्यताओं को प्राथमिकता दे सकें और अवसंरचना तथा अनुप्रयोग जोखिमों का अधिक कुशलता से प्रबंधन कर सकें।
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.
विवरण
- 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
आवश्यकताएँ
- 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