, TensorFlow, scikit-learn) Hands-on experience with LLMs and modern AI stacks (OpenAI, Hugging Face, LangChain, vector DBs...
retrieval, vector search, top-k, top-p, and related controls that influence response behavior and quality. Basic hands...
with RAG architectures, embeddings, and vector databases Experience with agentic frameworks (e.g., LangChain, LangGraph... RAG pipelines over enterprise data using embeddings and vector databases Build multi-step, tool-using agents (planning...
AI stack: Gemini, Vertex AI Familiarity with vector databases a plus (Client's context) Non-Negotiable: Full-stack...
, XILINX VIVADO EXCEL VISIO WIRESHARK VECTOR CANOE PROTOCOL MONITORS & CONVERTORS MOXA Position Requirements: BS... Experience developing test applications in NI Veristand, Vector CANoe, Simulink, NI TestStand, or equivalent technology...
. Strong knowledge of Retrieval-Augmented Generation (RAG), Vector Databases, Embeddings, and Enterprise Knowledge Integration...
or vector databases. Knowledge of CRM/ERP integration architecture. Background in supply chain or commercial analytics...
at your disposal, from best-in-class LLMs, multimodal foundation models, and hybrid vector databases to all the infrastructure...
Workspace integrations (Docs, Sheets, Gmail, Drive, Meet) Architect solutions using BigQuery, Lakehouse, and Vector Databases... Architecture Design enterprise RAG pipelines using Vertex AI Vector DB, ChromaDB. Define data ingestion, transformation...
, vector search, embeddings). Architect and implement LLM orchestration layers supporting content ideation, drafting...-oriented AI systems. Strong expertise in retrieval-based systems (RAG, vector databases, embeddings, indexing). Experience...