Related skills
python langgraph llm mcp crewaiπ Description
- Design end-to-end AI solutions on Dataiku's platform with Agent Hub and Knowledge Banks.
- Build and orchestrate multi-agent systems using Visual Agents and code-based frameworks.
- Integrate and optimize LLM APIs across providers with routing strategies.
- Implement RAG pipelines using Knowledge Banks with reranking and dynamic filtering.
- Own projects end-to-end from requirements to deployment.
π― Requirements
- Strong Python skills and AI libraries.
- Hands-on experience building agentic AI systems and production deployment.
- Experience with LangGraph, CrewAI, Claude Agent SDK, and OpenAI Agents SDK.
- Understanding of RAG architectures (vector databases, embeddings, GraphRAG).
- Familiarity with MCP for agent-to-tool integration.
- Web fundamentals: HTML/CSS/JS; Vue.js and Node.js preferred.
- Bachelor's or Master's in CS/DS/Engineering, or equivalent.
- Dataiku familiarity a bonus.
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