You own AI capabilities end-to-end: from the data and context that feed a model, through agent orchestration, to the generative UI a user sees and trusts. * Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure * Build the (via MCP) that lets agents securely call backend systems and business APIs - You've built against a generative/agent-driven UI protocol, not just consumed a REST API * The AI spine: prompt/context engineering, agents, tool use, structured outputs, evals, MCP Python and TypeScript/Node + React; comfortable with async, streaming, and observability
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