Job Description

Welcome to the future of cloud networking and security!

Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028.

This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it!

We're looking for a hands-on Agentic AI Engineer to build practical, high-impact AI solutions for our Product Support organization.

This is not a research role. You'll design and ship real AI systems that improve support workflows and processes - building custom solutions where off-the-shelf tools fall short. The role also requires close collaboration across teams: aligning with different stakeholders' needs and priorities, and building strong, ongoing partnerships across the organization.

Responsibilities:

• Partner directly with business teams to identify automation and optimization opportunities
• Design and implement agent-based AI workflows to automate internal processes end-to-end
• Design and build LLM-powered tools (agents, workflows, copilots) using frameworks like LangGraph / LangChain
• Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows
• Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations
• Take solutions from idea → prototype → production
• Governance, Reliability & Security
• Ensure AI workflows comply with security, privacy, and compliance requirements
• Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
• Monitor AI performance, errors, hallucinations, and drift
• Collaboration & Enablement:
• Partner with business owners to identify automation opportunities
• Translate business requirements into AI-driven solutions
• Document AI flows, decision logic, and operational runbooks
• Educate internal teams on AI capabilities and limitations

Requirements

• 3 years of hands-on software development experience, including writing, maintaining, and delivering production-quality code
• 2+ years of GenAI development experience, with strong AI/ML focus - MUST
• Strong Python skills and production mindset - MUST
• Hands-on and deep understanding with LLMs, SLMs, prompt engineering, context engineering and agent-based systems
• Experience with LangGraph, crewAI, Strands or similar orchestration frameworks
• Experience in enterprise grade agentic solutions and bringing Agents into production
• Experience in AWS Agent Core - Advantage
• Solid understanding of ML workflows and MLOps principles
• Strong analytical skills and ability to work directly with non-technical stakeholders
• Builder mindset: proactive, independent, and impact-driven
• Experience with Agentic AI driven applications like n8n, UiPath, Make –Advantage
• Experience or familiarity with the Support domain – Advantage