Retrieval Augmented Generation Rag Jobs in Berkeley, CA

... retrieval-augmented generation (RAG), and their application in data-driven workflows is a plus • Strong written and verbal communication skills • Comfort working within git-based version-control ...

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 ...

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 ...

Preferred : • Experience with LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) is a bonus. Company : Databricks is a data and AI platform that unifies data engineering ...

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

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

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 ...

Data & Retrieval Pipelines - Build ingestion, preprocessing, and retrieval-augmented generation (RAG) pipelines to ground LLMs in clinical and revenue-cycle data. * LLMOps & Observability - Design ...

... Retrieval Augmented Generation (RAG) • Build and optimize RAG pipelines across large unstructured datasets • Hands on experience with: o Embedding strategies o Vector databases and semantic ...

Retrieval-augmented generation (RAG) pipelines and vector-based semantic search systems Representation learning and semantic embeddings for clustering, categorization, and content understanding Model ...

Partner with GenAI teams to explore multi-modal embeddings, avatar generation, and retrieval-augmented generation (RAG) in economic surfaces Lead efforts to optimize ML system performance: low ...

Build robust retrieval-augmented generation (RAG) pipelines with vector databases, embedding pipelines, and optimized chunking strategies * Design advanced prompting strategies including chain-of ...

Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG) systems. * Familiarity with responsible AI frameworks and privacy-preserving techniques.

... LLMs), Retrieval-Augmented Generation (RAG), vector databases, AI agents, and Model Context Protocol (MCP). • Earlier-career hands-on programming experience in one or more of Java, JavaScript ...

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 ...

Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.

Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.

Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.

Opportunity We're looking for an AI/ML Engineer with a strong foundation in large language models (LLMs) and retrieval-augmented generation (RAG) to help us build smart, useful, and scalable AI ...