large language models (LLMs), solution architecture, multi-agent orchestration frameworks, vector-based retrieval

Performance Monitoring, Python, prompt frameworks, LLMs, RAG vector databases, data ML libraries, data platforms, MLOps pipelines, Agentic AI systems, multi-agent workflows, enterprise APIs, retrieval strategies, operational systems, tool orchestration, evaluation pipelines, observability feedback loops

Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Apis, Google Cloud, Git, Typescript, Docker, Azure, Python, Kubernetes, AWS, LangChain, CrewAI, AI orchestration frameworks, Prompt engineering, Vector databases, Memory architectures, LangGraph, AutoGen, CI/CD pipelines, Embedding models, Multi-agent systems

.NET, Model Context Protocol (MCP), Retrieval Augmented Generation (RAG), Large Language Models (LLMs), Machine Learning, Amazon S3, ELT, Python, AWS, Java, Artificial Intelligence, Sql, Spark, Databricks, Rest Apis, Etl, Apache Iceberg, Airflow, Pinecone, Vector Search, Chroma, semantic search, Generative AI, Agentic AI, dbt, Delta Lake, Milvus