Data scientist - Agentic AI
San Jose, California, United States of America
USD 155K-315K Mid-level Full Time
Tasks
- Build RAG retrieval pipelines
- Deploy services on Kubernetes
- Design agentic workflows
- Design long term agent memory
- Develop MCP servers and skills
- Develop sandboxed data transformation logic
- Execute evaluation frameworks with A B tests
- Implement ReACT orchestration loops
- Implement observability tracing logging cost tracking
- Integrate LLM tool calling
- Translate troubleshooting playbooks into tools
- Tune vector store retrieval
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | CI/CD | Containerization | Cost Tracking | Data Visualization | Error Handling | Evaluation | Generative AI | Hybrid retrieval | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Logging | MCP | Machine Learning | Model Context Protocol | Observability | Performance Monitoring | Prompt engineering | Python | RAG | React | Retrieval and Memory | Semantic Search | Streaming | Structured Output | Tool-Calling | Tracing | Vector Database
Education
Roles
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