🛠 Tech Stack

💼 About This Role

You'll join JFrog's CTO Lab to build AI-powered supply chain intelligence and agent governance systems. Your core impact is shaping the next generation of tools that manage and secure the entire software supply chain, including AI artifacts. This role offers the freedom to prototype fast and experiment with emerging AI frameworks.

🎯 What You'll Do

• Build LLM systems for artifact and dependency analysis
• Design governance models for AI agent systems
• Create benchmarks to validate AI-powered approaches
• Scout and evaluate new AI frameworks and security innovations

📋 Requirements

• 7+ years building distributed systems
• Hands-on with AI/ML systems using LLMs, embeddings, RAG, or agent frameworks
• Strong coding in Python and/or Go
• Ability to prototype quickly and make data-driven decisions

✨ Nice to Have

• Experience building AI agent systems (tool use, function calling, MCP)
• Background in MLOps or ML model management
• Familiarity with JFrog platform (Artifactory, Xray, etc.)

🎁 Benefits & Perks

• 🚀 Freedom to pick the right tool for the job - no vendor lock-in
• 🧠 Small team of senior peers for rigorous idea exchange
• 🌐 Real problems at real scale - billions of artifacts served

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Onsite Interview· 120 min