3 days ago
Israel (city not specified) +2 moreSenior
Responsibilities
- Build AI-powered supply chain intelligence that reasons over artifacts, dependencies, and release signals.
- Build and secure AI agents operating against registries, pipelines, and deployment systems.
- Extend governance, versioning, security, and provenance capabilities to AI artifacts and registries.
- Create benchmarks and evaluation pipelines to measure AI-powered approaches against traditional methods.
- Scout and assess emerging AI frameworks, agentic AI patterns, security innovations, and developer tooling.
- Produce prototypes and demos, analyze results, and determine which experiments should become products.
- Engage with developers, architects, product leaders, and customers while presenting and leading architecture discussions.
Requirements
- At least 7 years of experience building distributed, large-scale systems or equivalent depth, with production software delivery experience.
- Hands-on experience building real systems with LLMs, embeddings, RAG, or agent frameworks.
- Understanding of prompt engineering, context windows, token economics, evaluation, agentic protocols, and AI failure modes.
- Strong practical software engineering skills and the ability to write clean, modular code.
- Ability to independently create prototypes and demos from scratch and exercise judgment under ambiguity.
- Ability to analyze tradeoffs, lead technical discussions, guide teams, and promote practical engineering agreements.
- Strong advantage: experience with AI agent systems, tool use, function calling, MCP, multi-step reasoning, sandboxing, and agent security or governance.
- Strong advantage: hands-on MLOps or ML model management experience, including registries, versioning, serving, monitoring, or security scanning.
- Strong advantage: background in DevSecOps, supply chain security, compliance, SBOMs, Sigstore, SLSA, OPA/Rego, DORA, FedRAMP, or package ecosystems.
- Strong advantage: familiarity with JFrog’s platform and prior work in a research lab, innovation team, or early-stage startup.
Benefits
- Work on real software supply chain problems at large scale with billions of artifacts and thousands of enterprise customers.
- Freedom to choose among Claude, GPT, open-source models, fine-tunes, or classical ML without vendor lock-in.
- Join a small team of senior peers in an autonomous, innovative CTO Lab environment.
Tech Stack
Categories
About JFrog
JFrog builds a software supply chain platform used by developers and DevOps teams to store, secure, and distribute software artifacts and releases. Its subscription-based SaaS and self-managed products include Artifactory, Xray, Pipelines, and Distribution, and the company, founded in 2008 and headquartered in Sunnyvale, CA, went public on NASDAQ in 2020, serving large enterprises including many Fortune 100 firms.