Responsibilities:

• Contribute to the expansion of the MCP server knowledge base by crafting detailed technical materials for Arm technologies (e.g., documentation, examples, usage patterns) and curating existing content
• Extend and improve the MCP server evaluation framework to support new Arm technologies, ensuring accuracy, relevance, and performance of AI-generated outputs
• Implement and refine evaluation methodologies for agentic workflows, including prompt quality, retrieval accuracy, and tool usage
• Publish, package, and maintain MCP server integrations across different SDKs and MCP registries, ensuring compatibility, discoverability, and ease of adoption
• Define standard processes for distributing MCP capabilities, including versioning, schema management, and integration patterns across ecosystems
• Collaborate with internal teams, developers, and partners to identify gaps in knowledge coverage, evaluation, and distribution for Arm platforms
• Prototype and validate MCP use cases that demonstrate effective AI-assisted development workflows on Arm
• Contribute to technical content such as learning paths, demos, and guides that showcase MCP capabilities and Arm integrations

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