Hands-On Agentic AI Engineer

About the Role

At Cato Networks, we are building a cutting-edge cloud networking and security platform, and we are expanding our team with AI capabilities. The Hands-On Agentic AI Engineer will join a new team focused on applying AI agents and intelligent workflows to improve business processes across the organization. The ideal candidate enjoys building real-world AI-driven solutions end-to-end — writing code, designing architectures, prototyping, solving implementation challenges, and collaborating with business stakeholders to turn process opportunities into working AI solutions.

What You'll Do

• 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

• What We're Looking For

• 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

• Strong builder mindset: proactive, independent, hands-on, business-oriented, and impact-driven

• Nice to Have

• 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