Data scientist - Agentic AI
San Jose, California, United States of America
USD 155K-315K Mid-level Full Time
Tasks
- Build RAG pipelines
- Create evaluation frameworks and metrics
- Deploy containerized services on Kubernetes
- Design agentic workflows
- Develop MCP server skills
- Develop sandboxed code execution logic
- Implement agentic orchestration loops
- Implement observability with tracing and logging
- Integrate LLM tool calling
- Run A/B tests
- Translate troubleshooting playbooks into tools
- Tune retrieval and memory relevance
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Agentic AI | B testing | CI/CD | Containerization | Cost Tracking | Episodic memory | Evaluation metrics | Function Calling | Hybrid retrieval | Kubernetes | LLM | Langchain | Langgraph | Logging | MCP | Model Context Protocol | Performance Monitoring | Procedural Memory | Prompt engineering | RAG | React | Retrieval-Augmented Generation | Semantic Memory | Semantic Search | Streaming | Structured Output | Tool-Calling | Tracing | Vector Databases
Education
Roles
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