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JFrog Logo JFrog · IT - Software Development

Cto Ai Lab Architect

Israel, Netanya/Tel Aviv · Job Posted May 20, 2026
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Job Description

At JFrog, we’re reinventing DevOps to help the world’s greatest companies innovate – and security is a core part of our mission. Our team of industry-leading software security experts are true pioneers, constantly pushing the boundaries with original research and technology innovation. JFrog is a special place with a unique combination of brilliance, spirit and just all-around great people. Thousands of customers, including the majority of the Fortune 100, trust JFrog to manage, accelerate, and secure their software delivery from code to production – a concept we call “liquid software.” Wouldn't it be amazing if you could join us on our journey?

Job Responsibility

  • Build AI-powered supply chain intelligence - LLM systems that reason over artifacts, dependencies, and release signals to move past static block/allow rules toward decisions a senior engineer would make
  • Build and secure AI agents that operate against registries, pipelines, and deployment systems. Extend JFrog's controls to the AI artifact stack we ship today - MCP Registry, Agent Skills Registry, AI Catalog - and design the next generation of governance models
  • Build AI woven across the platform - versioning, security, and provenance for AI artifacts, and capabilities that make developers faster wherever speed, trust, or judgment can be amplified
  • Build evaluation and measurement - benchmarks and pipelines that prove AI-powered approaches actually outperform traditional ones
  • Build technology scouting and signal analysis - evaluate new AI frameworks and security innovations as they emerge

Requirements

  • 7+ years building distributed systems (or equivalent depth) - you've shipped production software, not just prototypes
  • Hands-on with AI/ML systems -you've built something real with LLMs, embeddings, RAG, or agent frameworks (LangGraph, LangChain, Claude API, OpenAI API, or similar). You understand prompt engineering, context windows, token economics, evaluation, and failure modes
  • Strong coding in Python and/or Go - clean, fast working code. Prototypes that demo, with a clear sense of where shipping begins
  • Judgment under ambiguity - you can take a hard, open question and come back with a working prototype and data. You'll kill your own project when the evidence says it doesn't work, and you'll be proud of what you learned

Nice to have

  • Experience building AI agent systems - tool use, function calling, MCP, multi-step reasoning, sandboxing, and the security/governance of giving agents access to real infrastructure
  • Hands-on with MLOps or ML model management - model registries, versioning, serving, monitoring, or security scanning
  • Background in DevSecOps, supply chain security, or compliance - SBOMs, Sigstore, SLSA, OPA/Rego, DORA, FedRAMP, or package ecosystem internals (npm, PyPI, Maven, Go modules, Docker)
  • Familiarity with JFrog's platform (Artifactory, Xray, Curation, AI Catalog, JFrog ML, JFrog CLI)
  • Prior work in a research lab, innovation team, or early-stage startup where you built zero-to-one

What we offer

  • Real problems at real scale - billions of artifacts, thousands of enterprise customers, and an AI transformation that's just getting started
  • Freedom to pick the right tool for the job - Claude, GPT, open-source models, fine-tunes, or classical ML. No vendor lock-in
  • A small team of senior peers who push back on your ideas and make them better
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