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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 are looking for a Hands-On Agentic AI Engineer (Information Systems Team) to join a new team focused on applying AI agents and intelligent workflows to improve business processes across the organization. The ideal candidate is someone who enjoys building real-world AI-driven solutions end-to-end — writing code, designing architectures, building prototypes, solving implementation challenges, and working directly with business stakeholders to turn process opportunities into working AI solutions. 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) 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 and IS teams 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: 2-3 years of proven experience with AI solutions Strong hands-on software development experience, including writing, maintaining, and delivering production-quality code Strong GenAI development experience with LLMs, SLMs, prompt engineering, context engineering, and agent-based systems Strong Python skills and a production-focused engineering mindset Experience designing and building agentic AI workflows, RAG pipelines, LLM-powered applications, copilots, or intelligent automation solutions Experience bringing AI agents, GenAI applications, or automation solutions into production Solid understanding of APIs, integrations, databases, cloud environments, monitoring, logging, security, and deployment practices Ability to work directly with non-technical stakeholders and translate business needs into technical solutions Experience with AWS AgentCore, n8n, UiPath, Make, Workato, or similar is an advantage Experience with enterprise AI governance, security, compliance, and privacy requirements is an advantage Strong builder mindset: proactive, independent, hands-on, business-oriented, and impact-driven
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.