Retrieval Augmented Generation Jobs in Rancho Cordova, CA

Familiarity with vector databases (e.g., FAISS, Milvus, Pinecone) and retrieval augmented generation (RAG). * Experience deploying AI models to production environments. * Strong understanding of data ...

Establish reusable patterns for retrieval-augmented generation, intelligent agents, model selection, evaluation, guardrails, prompt and knowledge management, observability, security, cost ...

Build, evaluate, andoptimizeLLM-based workflows, including prompting, developing skills, retrieval-augmented generation (RAG and Graph-RAG), benchmarking, and quality evaluation. * Machine Learning ...

Build, evaluate, andoptimizeLLM-based workflows, including prompting, developing skills, retrieval-augmented generation (RAG and Graph-RAG), benchmarking, and quality evaluation. * Machine Learning ...

Architects reasoning chains, tool use, retrieval-augmented generation, and error handling; builds evaluation frameworks and monitors agent performance in production. * Leads governance of AI agents ...

Applies foundational AI and agent-building skills, such as working with large language models, basic tool use, and retrieval-augmented generation, to support business use cases that require AI and ...

Architects reasoning chains, tool use, retrieval-augmented generation, and error handling; builds evaluation frameworks and monitors agent performance in production. * Leads governance of AI agents ...

Applies foundational AI and agent-building skills, such as working with large language models, basic tool use, and retrieval-augmented generation, to support business use cases that require AI and ...

Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...

Exposure to knowledge graphs, retrieval-augmented generation (RAG), or vector databases. * Experience productizing research code into governed, auditable services (RBAC, CI/CD, observability)

Use orchestration, prompt design, retrieval-augmented generation, structured outputs, and workflow automation to create dependable business solutions. * Establish appropriate validation, monitoring ...

Evaluate LLM architectures, agentic frameworks, APIs, retrieval-augmented generation (RAG) approaches, and prompt engineering strategies for clinical research applications. * Compare candidate models ...

Use orchestration, prompt design, retrieval-augmented generation, structured outputs, and workflow automation to create dependable business solutions. * Establish appropriate validation, monitoring ...

Identify and execute opportunities to deploy LLM-based autonomous agents, RAG (Retrieval-Augmented Generation) patterns, and automated decision-making engines to improve data quality, content ...

Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns. * Implement data quality, validation, and lineage ...

Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns. * Implement data quality, validation, and lineage ...

Design AI applications using large language models, retrieval-augmented generation (RAG), vector databases, semantic search, tool calling, memory, and agent orchestration. * Build scalable data ...

Design AI applications using large language models, retrieval-augmented generation (RAG), vector databases, semantic search, tool calling, memory, and agent orchestration. * Build scalable data ...

Experience architecting generative artificial intelligence solutions using large language models, prompt orchestration, retrieval-augmented generation, vector databases, and enterprise integration ...

Manage knowledge sources, content, and Retrieval-Augmented Generation (RAG) configurations * Apply governance, security, privacy, accessibility, and compliance standards * Create and maintain ...