• Develop robust async architectures to support concurrent reasoning, tool use, and long-running workflows across distributed compute environments.
• Integrate LLMs with mcp servers, vector databases, and observability systems for adaptive agent behavior.
• Ensure reliability, performance, and maintainability through rigorous testing, type safety (mypy/pydantic), and production-grade CI/CD pipelines.
• Collaborate on system design and platform evolution, contributing to abstractions, developer SDKs, and runtime instrumentation for agent lifecycle management.
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