Assistant Retrieval Augmented Generation Jobs in Riverside, NJ

Build and optimize retrieval-augmented generation pipelines for knowledge-driven agents. * Contribute to the development and testing of robust, scalable agentic architectures and infrastructure.

Build and optimize retrieval-augmented generation pipelines for knowledge-driven agents. * Contribute to the development and testing of robust, scalable agentic architectures and infrastructure.

Build and optimize retrieval-augmented generation pipelines for knowledge-driven agents. * Contribute to the development and testing of robust, scalable agentic architectures and infrastructure.

Implement Retrieval-Augmented Generation (RAG) pipelines * Design and integrate vector database solutions for efficient semantic search * Perform model quantization and performance tuning for CPU ...

Strong understanding of prompt engineering, retrieval-augmented generation (RAG), and fine-tuning techniques such as LoRA. * Experience with AI application development, preferably integrating APIs or ...

... Retrieval-Augmented Generation (RAG) pipelines using open-source vector databases (Qdrant, Chroma, Milvus, pgvector) - Engineer Python-based solutions for LLM inference, prompt design, and system ...

Develop retrieval-augmented generation (RAG) systems that connect AI models with trusted scientific and scholarly content. * Create intelligent capabilities for search, ranking, recommendation ...

Develop retrieval-augmented generation (RAG) systems that connect AI models with trusted scientific and scholarly content. * Create intelligent capabilities for search, ranking, recommendation ...

Develop retrieval-augmented generation (RAG) systems that connect AI models with trusted scientific and scholarly content. * Create intelligent capabilities for search, ranking, recommendation ...

Develop retrieval-augmented generation (RAG) systems that connect AI models with trusted scientific and scholarly content. * Create intelligent capabilities for search, ranking, recommendation ...

Build AI-powered copilots, assistants, and agents that help employees find information, automate tasks, and make better decisions. * Design and implement Retrieval-Augmented Generation (RAG ...

Build and optimize Retrieval-Augmented Generation (RAG) pipelines that connect models to live knowledge sources, structured data, and enterprise content to improve factual grounding, contextual ...

... retrieval-augmented generation (RAG) concepts and evaluation of model outputs. * Working understanding of litigation workflows and attorney work-product standards, with the judgment to recognize ...

... retrieval-augmented generation (RAG) concepts and evaluation of model outputs. * Working understanding of litigation workflows and attorney work-product standards, with the judgment to recognize ...

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

... RAG (Retrieval-Augmented Generation) pipelines with vector databases • Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex • Writing and ...

Experience with AI orchestration, retrieval-augmented generation (RAG), and evaluation frameworks. What's in it for me? * Opportunity to work on cutting-edge AI initiatives within a forward-thinking ...

Develop Agentic AI applications leveraging Amazon Bedrock, LLMs, Retrieval-Augmented Generation (RAG), and agent orchestration frameworks. * Design intelligent search and knowledge retrieval ...

... Retrieval-Augmented Generation (RAG) systems, agents, MCP servers, workflow automations, and ... connect AI assistants to enterprise systems, APIs, repositories, and approved data sources.

... Retrieval-Augmented Generation (RAG) systems, agents, MCP servers, workflow automations, and ... connect AI assistants to enterprise systems, APIs, repositories, and approved data sources.