Agentic AI Engineer
Cato Networks · Tel Aviv District
وصف الوظيفة
About the role
Cato Networks, a provider of cloud-delivered enterprise networking and security, is looking for a hands-on Agentic AI Engineer to join a new team focused on applying AI agents and intelligent workflows to improve business processes. The ideal candidate builds real-world AI-driven solutions end-to-end, from code and architecture to prototypes and production, working closely with business stakeholders.
Key responsibilities
- Partner with business teams to identify automation and optimization opportunities
- Design and implement agent-based AI workflows that automate internal processes end-to-end
- Build LLM-powered tools such as agents, workflows, copilots and RAG pipelines, integrating multiple data sources
- Validate company data quality and close gaps so AI solutions are built on solid foundations
- Move solutions from idea through prototype to production
- Ensure AI workflows comply with security, privacy and compliance requirements, using guardrails, approvals, logging and human-in-the-loop mechanisms
- Monitor AI performance, errors, hallucinations and drift
- Document AI flows, decision logic and runbooks, and educate internal teams on AI capabilities and limitations
Required profile
- 2-3 years of proven experience with AI solutions
- Strong hands-on software development experience, including production-quality code
- Experience bringing AI agents, GenAI applications or automation solutions into production
- Ability to work directly with non-technical stakeholders and translate business needs into technical solutions
- Proactive, independent, hands-on and business-oriented mindset
Required skills
- GenAI development with LLMs, SLMs, prompt and context engineering, and agent-based systems
- Strong Python skills
- Building agentic AI workflows, RAG pipelines, copilots and intelligent automation
- APIs, integrations, databases, cloud environments, monitoring, logging, security and deployment
- Advantage: AWS AgentCore, n8n, UiPath, Make, Workato and enterprise AI governance experience
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