Python, agent security concerns, GenAI application development, chunking strategy, agent-based architectures, LangGraph, async patterns, LLM APIs, RAG pipelines, multi-step reasoning loops, agent-to-agent communication patterns, AI ML systems, LangChain, tool schemas, MCP servers, embedding models, retrieval evaluation, SDK extension, AutoGen, vector stores, MCP Model Context Protocol, Production Monitoring, tool-calling orchestration, framework-level engineering

Python, GenAI application development, tool surface exposure, chunking strategy, cloud-native AI infrastructure, agent-based architectures, LangGraph, async patterns, LLM APIs, RAG pipelines, agent-to-agent communication patterns, multi-step reasoning loops, AI ML systems, LangChain, CrewAI, tool schemas, MCP servers, embedding models, retrieval evaluation, SDK extension, AutoGen, vector stores, MCP Model Context Protocol, Production Monitoring, tool-calling orchestration, framework-level engineering