2 months ago
Tel Aviv-Yafo, IsraelMid Level
Responsibilities
- Build, implement, and maintain AI-powered intelligence systems using LLMs, agentic capabilities, MCPs, Skills, and advanced RAG.
- Automate competitive intelligence data collection, analysis, knowledge sharing, and stakeholder access.
- Drive AI solution projects from initial concept through execution, delivery, and broad adoption.
- Evaluate and recommend AI and ML tools and frameworks to improve productivity and effectiveness.
- Design scalable and reliable LLM-based system architectures.
- Gather requirements, participate in product discussions, and collaborate with internal customers.
- Investigate complex systems, cloud environments, source code, and documentation and synthesize findings into actionable insights.
- Coordinate with IS, IT, and data science teams to support enterprise-wide systems integration.
- Conduct technical research on software delivery supply chains, DevOps, DevSecOps, and MLOps.
Requirements
- Bachelor’s degree or higher in Computer Science, Data Science, Software Engineering, or a similar field.
- At least 4 years of relevant hands-on experience developing and scaling production-grade GenAI architectures using modern LLM stacks.
- Proficiency with LangChain, CrewAI, OpenClaw, PyTorch, Keras, NLP, vector databases, RAG, MCPs, and Skills.
- Fluency in Python and at least one of TypeScript/JavaScript, Go, or Rust.
- Hands-on experience with cloud and cloud-native environments, including AWS, GCP, Azure, containers, and Kubernetes.
- Ability to conduct deep technical investigations and synthesize complex technical information into clear insights.
- Strong communication skills and ability to coordinate action across diverse organizational groups.
- Excellent written and verbal English communication skills.
- Full-stack web development experience is a significant advantage.
- At least 3 years of hands-on experience configuring and using DevSecOps technologies such as Kubernetes, JFrog Artifactory, GitLab, SonarQube, coding agents, security vulnerability scanners, and GitHub Actions is a significant advantage.
Tech Stack
AWSAzureGitHub ActionsGoGoogle Cloud PlatformJavaScriptKerasKubernetesPythonPyTorchRustSonarQubeTypeScript
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.