Staff Software Engineer, AI Enablement

About the role

Cato Networks is the converged network and security cloud for the AI era, and its AI Enablement group leads cross-R&D AI initiatives such as AI onboarding, shared AI infrastructure and tooling, and evaluation of new AI technologies. The company is looking for a Staff Software Engineer to build and evolve its shared AI platform: the backend services, infrastructure and tooling that power AI adoption across R&D. You will own systems from architecture through production operations, ship AI solutions end-to-end and work closely with engineering teams to help hundreds of developers build with AI.

Key responsibilities

• Partner with R&D teams to identify high-impact opportunities to apply AI in developer workflows, internal tooling and product engineering.
• Build and evolve the AI platform end-to-end, from user interfaces and backend services to cloud infrastructure, deployment and production operations.
• Help build the AI software factory, orchestrating AI agents, tools and workflows to take software from idea to production.
• Drive AI onboarding and enablement: create guidelines, patterns and best practices, and educate teams on AI capabilities, limitations and responsible use.
• Evaluate and pilot new AI technologies, models and tools, and bring the best into the engineering practice.
• Take solutions from idea to prototype to production, owning quality, reliability and iteration.

Required profile

• 7+ years of hands-on software engineering, including writing, maintaining and delivering production-quality code.
• Proven experience building, maintaining and operating production systems on AWS, including system design, deployment, monitoring, troubleshooting, reliability and scalability.
• Strong GenAI development experience: LLMs, prompt and context engineering, and agent-based systems.
• Experience designing and building agentic AI workflows and LLM-powered applications, and bringing them to production.
• Proactive, independent, hands-on and impact-driven, with excellent communication skills and a genuine passion for AI.

Nice to have

• Experience building developer-facing tooling or platforms adopted across an engineering org.
• Experience with enterprise AI governance, evaluation frameworks, security, compliance and privacy.
• Familiarity with the networking/security/SASE domain.
• Open-source contributions, side projects or experimentation with the latest AI tooling.