AI Platform, Backend Software Engineer

Description

We’re growing and looking to hire a Backend Software Engineer, AI Platform who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity

Claroty is a global leader in cyber-physical systems (CPS) protection, dedicated to securing the critical infrastructure that keeps the world running. We’re a fast-growing, award-winning team where innovation meets purpose—and we want you to help us define the future of cybersecurity.

At Claroty, our technology strategy is focused on solving real-world cyber-physical security problems at scale through robust, distributed, cloud-native architectures. We design and evolve a unified platform that serves as the technological backbone for all Claroty products, delivering deep visibility across CPS environments—without disrupting critical operations. Our architecture emphasizes scalability, resilience, and extensibility to support both cloud and on-prem deployments.

About the Role:

As a Backend Software Engineer, AI Platform at Claroty, you will design and build high-performance backend systems and production-grade AI solutions that secure critical cyber-physical environments. You will solve complex architecture, networking, and data challenges, integrating cutting-edge LLM and AI technologies directly into our core product platform.

Requirements:

As a Backend Software Engineer, AI Platform your impact will be:

• Feature & Architectural Ownership: Take end-to-end ownership over complex features from initial architecture to global deployment implementing scalable architectures across cloud and on-prem environments.
• AI & LLM Integration: Design, build, and deploy production-grade LLM applications, RAG systems, and AI agents to enable intelligent natural language interfaces and automated security workflows.
• AI-Assisted Engineering: Integrate modern AI development platforms (specifically Cursor, Claude, or GitHub Copilot) into daily workflows to accelerate code generation, optimize refactoring, and automate complex problem-solving.
• Code Excellence: Promote engineering best practices, system resilience, and clean code architecture.