• Build and maintain an internal LLM gateway that handles routing, fallbacks, and rate limiting • Create reusable components for common AI patterns (RAG, function calling, streaming responses) • Develop SDKs or libraries that simplify AI integration for application developers • Implement prompt management systems and evaluation frameworks • Design and deploy vector database infrastructure for semantic search • Create monitoring dashboards for AI usage, costs, and performance metrics • Write technical documentation and best practice guides for AI implementation • Evaluate and integrate new AI services and models as they become available • Build testing frameworks for prompt regression and model output validation