{"id":1175172,"url":"https://alion.io/job/cato-networks-agentic-ai-engineer","title":"Agentic AI Engineer","company":{"id":7240,"name":"Cato Networks","domain":"catonetworks.com","url":"https://alion.io/company/cato-networks","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":84,"open_postings":37,"ghost_share":0,"stale_share":0.432,"repost_share":0,"time_to_fill_p50_days":64,"computed_at":"2026-10-01T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tel Aviv, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"Context Engineering","optional":false},{"name":"Exabeam","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"n8n","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"UiPath","optional":false}],"status":"live","first_seen_at":"2026-05-10T15:01:19Z","employer_posted_date":"2026-08-31","last_verified_at":"2026-10-01T08:42:12Z","board_verified":true,"closed_at":null,"days_open":143,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":143},"description":"Welcome to the future of cloud networking and security! \nCato 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.\nThis 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!\nWe 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.\nThe 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.\nResponsibilities:\nPartner directly with business teams to identify automation and optimization opportunities\nDesign and implement agent-based AI workflows to automate internal processes end-to-end\nDesign and build LLM-powered tools (agents, workflows, copilots)\nDevelop RAG pipelines, integrate multiple data sources, and build intelligent automation flows\nDeep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations\nTake solutions from idea → prototype → production\nGovernance, Reliability & Security\nEnsure AI workflows comply with security, privacy, and compliance requirements\nImplement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed\nMonitor AI performance, errors, hallucinations, and drift\nCollaboration & Enablement:\nPartner with business owners and IS teams to identify automation opportunities\nTranslate business requirements into AI-driven solutions\nDocument AI flows, decision logic, and operational runbooks\nEducate internal teams on AI capabilities and limitations\nRequirements:\n2-3 years of proven experience with AI solutions\nStrong hands-on software development experience, including writing, maintaining, and delivering production-quality code\nStrong GenAI development experience with LLMs, SLMs, prompt engineering, context engineering, and agent-based systems\nStrong Python skills and a production-focused engineering mindset\nExperience designing and building agentic AI workflows, RAG pipelines, LLM-powered applications, copilots, or intelligent automation solutions\nExperience bringing AI agents, GenAI applications, or automation solutions into production\nSolid understanding of APIs, integrations, databases, cloud environments, monitoring, logging, security, and deployment practices\nAbility to work directly with non-technical stakeholders and translate business needs into technical solutions\nExperience with AWS AgentCore, n8n, UiPath, Make, Workato, or similar is an advantage\nExperience with enterprise AI governance, security, compliance, and privacy requirements is an advantage\nStrong builder mindset: proactive, independent, hands-on, business-oriented, and impact-driven","description_format":"text","description_chars":3429,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity","Network Security","Cloud Security"],"lifecycle":[{"event":"open","at":"2026-09-24T11:17:24Z"}],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.384,"p_room":0.28,"age_days":143,"expected_fill_days":64,"reasons":["conf:8","velocity","win:tail","crowd:junior"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/cato-networks-agentic-ai-engineer","json_url":"https://alion.io/job/cato-networks-agentic-ai-engineer.json","meta":{"generated_at":"2026-10-01T08:53:52Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"search","counted_by":"address","units_charged":0,"used_today":0,"day_limit":null,"remaining_today":null,"minute_limit":null,"resets_at":"2026-10-02T00:00:00Z"}}}