Related skills
python go rag langchain langgraph📋 Description
- Build AI powered supply chain intelligence over artifacts, dependencies, and signals.
- Create and govern AI agents that operate against registries, pipelines, and deployments.
- Integrate AI across the platform for versioning, security, and provenance of AI artifacts.
- Design benchmarks and pipelines to prove AI powered approaches outperform traditional ones.
- Scout new AI frameworks and analyze signals to inform strategic decisions at JFrog.
🎯 Requirements
- 7+ years building distributed systems with production software.
- Hands-on with AI/ML systems: LLMs, embeddings, RAG, or agent frameworks.
- Strong coding in Python and/or Go with clean, fast prototypes.
- Judgment under ambiguity; prototype-driven approach and stop when needed.
- Data-driven decision making and robust problem solving.
- Bonus: familiarity with AI governance or related concepts.
🎁 Benefits
- Real problems at real scale with enterprise customers and AI transformation.
- Freedom to pick the right tool for the job including Claude, GPT, open source models.
- A small team of senior peers who push back on your ideas.
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