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AI Team Lead

3 weeks, 6 days ago
Israel
Full-time
Senior
AI Engineer
Software Development
LLM Python
Apply Now
Cato Networks

Cato Networks

Cato Networks is the world's leading single vendor SASE platform that converges SD WAN, security, global backbone, and remote access into a global cloud-native service. Their robust platform optimizes and secures application access for all users and lo...

Diversified Telecommunication Services
251-1K
Founded 2015
$770M raised
View All Jobs 53

Description

  • 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 such as agents, workflows, and copilots.
  • Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows.
  • Validate company data quality, uncover gaps, and ensure AI solutions are built on solid foundations.
  • Take solutions from idea to prototype to production.
  • 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.
  • Document AI flows, decision logic, and operational runbooks while educating internal teams on AI capabilities and limitations.

Requirements

  • 3+ years of hands-on experience as a lead engineer, solution architect, AI lead, or similar role.
  • 1-2+ years of proven experience with AI solutions.
  • Managerial experience leading small teams, either directly or in a matrix structure.
  • Strong hands-on software development experience, including writing, maintaining, and delivering production-quality code.
  • Proven experience managing, mentoring, or technically leading engineers.
  • 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 tools 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.

Interested in this position?

Apply directly on the company website

Apply Now

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