AI Engineer

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! 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 that transform how our teams operate. This is not a research role. You’ll design and ship real AI systems that improve workflows across Sales, Marketing, HR, and Operations - building custom solutions where off-the-shelf tools fall short. If you enjoy turning messy business problems into production-ready AI systems using LLMs,SLMs, agents, and smart data pipelines - this role is for you. 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 ... (truncated, view full listing at source)