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

Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Git, Typescript, Docker, Python, Kubernetes, Distributed Systems, CrewAI, LangChain, AutoGen, LangGraph, Prompt Engineering, AI orchestration frameworks, LLM testing methodologies, Vector databases, AI evaluation frameworks, Inference optimisation, Model routing, Microservices architecture, CI/CD pipelines, Embedding models, Observability tools, Multi-agent systems, Fine-tuning

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