building agents Vector databases and RAG patterns (indexing, chunking, embeddings, retrieval). LLM integration (OpenAI, Azure...
and autonomous workflows, Integrating AI/ML models into cloud-native applications. Leveraging LLMs, vector databases...
, and vector databases Experience with agentic frameworks (e.g., LangChain, LangGraph, AutoGen) Strong system design skills... workflows using Python Design and implement RAG pipelines over enterprise data using embeddings and vector databases Build...
. Strong understanding of retrieval-augmented generation, embeddings, and vector databases. Experience designing evaluation pipelines...
development, including LLM-powered features, RAG architectures, or vector search in production environments Nashville-based...
., spectrum analyzers, vector network analyzers). Knowledge of electromagnetic theory, antenna design, and RF propagation...
AI platforms, orchestration frameworks, vector stores, semantic layers, model evaluation approaches, prompt testing...
architectures (GCP preferred). Experience with lakehouse architectures and cloud data warehouses. Knowledge of vector databases...
search, and vector stores. - Owns features end-to-end: tests, evals, telemetry, docs, code review. Amazon is an equal...
architectures, embeddings, and vector databases · Experience with agentic frameworks (e.g., LangChain, LangGraph, AutoGen... enterprise data using embeddings and vector databases · Build multi-step, tool-using agents (planning, execution, memory) using...