Data scientist - Agentic AI
San Jose, California, United States of America
USD 155K-315K Mid-level Full Time
Tasks
- Build retrieval and memory services for agents
- Collaborate with domain experts to formalize workflows
- Deploy containerized services in Kubernetes
- Design agentic workflows using LangGraph
- Develop evaluation frameworks for agentic systems
- Implement MCP servers and skills
- Implement observability for agentic workflows
- Implement sandbox data transformation logic
- Integrate LLM capabilities in production
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | CI/CD | Cost monitoring | Docker | Function Calling | Generative AI | Hybrid retrieval | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Logging | MCP | Performance Monitoring | Prompt engineering | Python | RAG | React | Semantic Search | Streaming | Structured Output | Test harnesses | Tool-Calling | Tracing | Vector Databases | Vector Stores
Education
Roles
Regions
Countries
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Cities
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