architectures, embeddings, vector databases, tokenization, and contextual retrieval patterns Comprehensive knowledge of artificial...
-in-the-loop controls Govern end-to-end RAG pipeline design-including ingestion, chunking, embedding, vector retrieval... hands on experience with one of the following key platform technologies;DBRX, MLflow, Vector Search, Databricks AI Gateway...
applications and third-party APIs. Build vector databases and semantic search capabilities. Design secure, cloud-native... (OpenAI, Claude, Gemini, Llama) LangChain or LlamaIndex Retrieval-Augmented Generation (RAG) Vector Databases (Pinecone...
Step Functions). Experience building applications using GenAI technologies (LLMs, Vector Stores, LangChain, Prompt...
generative AI and agent-based workloads, including embedding pipelines, vector store integration, and knowledge base management... that serve AI/ML model training, RAG pipelines, and agent-based systems. Build and govern embedding pipelines, vector database...
document ingestion, embeddings, vector search, reranking, and retrieval pipelines. Deploy and monitor GenAI applications using..., embeddings, vector databases, semantic search, and prompt engineering. Experience with vector stores such as OpenSearch...
generation, and vector databases. Hands-on experience integrating or experimenting with commercial and open-source GenAI...
), vector databases, GPUs, cloud AI infrastructure, and AI software stacks. Extensive experience evaluating enterprise...
enterprise system owner and subject-matter resource for Vector Solutions EHS and LMS, overseeing user governance, organizational..., subcontractor safety management, and project safety documentation. Experience with Vector Solutions EHS, Vector Solutions LMS...
proficiency in vector and graph databases, SQL, and AI-generated SQL techniques. Frameworks & Agentic Protocols: Hands...