Entrylevel Retrieval Augmented Generation Jobs in California

... retrieval-augmented generation (RAG) systems. • Collaborate closely with product and engineering teams to turn early prototypes into production-grade systems. • Help shape the future of AI ...

Support implementation of retrieval-augmented generation workflows, including document chunking, metadata handling, vector embeddings, semantic search, and citation-enabled response generation.

Expertise in LLM including model architecture, training/finetuning techniques, retrieval augmented generation (RAG), reasoning and action planning, etc. * Experience in planning, tool use, agent AI ...

Experience orchestrating agentic workflows and retrieval augmented generation. Familiarity with LangGraph is a plus. * Stand up inference paths with low latency serving and token-level observability

Build and optimize retrieval-augmented generation (RAG) systems. * Collaborate closely with product and engineering teams to turn early prototypes into production-grade systems. * Help shape the ...

Designs, implements, and optimizes retrieval-augmented generation (RAG) pipelines that combine large language models (LLMs) with vector search/retrieval systems. * Builds data ingestion and embedding ...

... retrieval-augmented generation (RAG), context engineering, retrieval systems, and long-term state management. • Familiarity with one or more key areas in memory systems: memory extraction and ...

Implement and optimize RAG (Retrieval-Augmented Generation) pipelines, vector databases, and prompt management systems. * Feature Development: Build intuitive, AI-driven UI components that allow ...

Build and optimize retrieval-augmented generation (RAG) systems. * Collaborate closely with product and engineering teams to turn early prototypes into production-grade systems. * Help shape the ...

Build and optimize retrieval-augmented generation (RAG) systems. * Collaborate closely with product and engineering teams to turn early prototypes into production-grade systems. * Help shape the ...

Build and optimize RAG (Retrieval-Augmented Generation) pipelines using Vertex AI Search and BigQuery, ensuring agents have "zero-hallucination" access to enterprise truths. • Governance & Security:

Experience building RAG (Retrieval-Augmented Generation) systems * Familiarity with semantic search and vector databases * Experience with computer vision models, such as: * SAM (Segment Anything ...

LLM APIs, tool use, vector DBs, memory, retrieval-augmented generation (RAG), and evaluation loops * Design secure, scalable backend services in JavaScript/TypeScript or Python to orchestrate agentic ...

Experience building or integrating retrieval-augmented generation (RAG) systems * Experience working with enterprise security and compliance frameworks (e.g., SOC 2) * Familiarity with vector ...

Experience building or integrating retrieval-augmented generation (RAG) systems * Experience working with enterprise security and compliance frameworks (e.g., SOC 2) * Familiarity with vector ...

LLM APIs, tool use, vector DBs, memory, retrieval-augmented generation (RAG), and evaluation loops * - Design secure, scalable backend services in JavaScript/TypeScript or Python to orchestrate ...

LLM APIs, tool use, vector DBs, memory, retrieval-augmented generation (RAG), and evaluation loops * Design secure, scalable backend services in JavaScript/TypeScript or Python to orchestrate agentic ...

Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) for retrieval-augmented generation. * Familiarity with MLOps tools (MLflow, Kubeflow, or similar). * Knowledge of prompt engineering ...

Hands-on experience with LLMs and Retrieval-Augmented Generation (RAG) architectures - this is a dealbreaker requirement. * Strong CS fundamentals, high attention to detail, fast learner, and clear ...

Hands-on experience with LLMs and Retrieval-Augmented Generation (RAG) architectures -- this is a dealbreaker requirement. * Strong CS fundamentals, high attention to detail, fast learner, and clear ...