Retrieval Augmented Generation Rag Jobs in Newark, NJ

We are seeking an experienced Engagement Architect with expertise in Agentic AI, Retrieval-Augmented Generation (RAG), and Enterprise AI Architecture . The ideal candidate will lead the architecture ...

We are seeking an experienced Engagement Architect with expertise in Agentic AI, Retrieval-Augmented Generation (RAG), and Enterprise AI Architecture . The ideal candidate will lead the architecture ...

We are seeking an experienced Engagement Architect with expertise in Agentic AI, Retrieval-Augmented Generation (RAG), and Enterprise AI Architecture . The ideal candidate will lead the architecture ...

The ideal candidate will have experience in prompt engineering, AI agentic frameworks, large language models (LLMs), retrieval-augmented generation (RAG), and vector databases. This role requires a ...

The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG). Key Responsibilities:

The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG). Key Responsibilities:

Evaluate and compare approaches including prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, vector search, fine-tuning, instruction tuning, model distillation, synthetic data ...

This role designs and implements scalable artificial intelligence systems leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) frameworks, AI agents, model orchestration ...

The ideal candidate will have strong skills in Python, React.js, Retrieval-Augmented Generation (RAG ), and hands-on experience with LangChain and LangGraph frameworks. You will be responsible for ...

Build and optimize Retrieval-Augmented Generation (RAG) pipelines using embeddings, semantic search, vector databases, document chunking strategies, reranking, retrieval optimization, response ...

... Retrieval-Augmented Generation (RAG) and reasoning pipelines to ensure grounded, reliable, and adaptive agent behavior. • Collaborate closely with GenAI engineers, application teams, MLOps, product ...

Strongunderstanding and practical experience with Retrieval-Augmented Generation(RAG). * Proficiencyin programming languages such as Python. * Knowledgeof AI model deployment and API integration.

Strong understanding and practical experience with Retrieval-Augmented Generation (RAG). Proficiency in programming languages such as Python. Knowledge of AI model deployment and API integration.

Responsibilities : • Build complex multi-agent AI agents that are highly scalable • Work with LLMs, embedding models, and Retrieval-Augmented Generation (RAG) system • Engineer and refine ...

Work with LLMs, embedding models, and Retrieval-Augmented Generation (RAG) system * Engineer and refine prompts to enhance AI performance and output quality * Deploy and scale AI solutions using AWS ...

... retrieval-augmented generation (RAG), or related AI technologies.

Implement Retrieval-Augmented Generation (RAG) and work with Large Language Models (LLMs) for conversational and decision-support systems. * Apply Model Context Protocols (MCPs) and integrate ...

We are seeking a hands-on GenAI / Agentic AI Developer to build next-generation AI-powered applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-agent ...

Design and oversee the development of optimized RAG (Retrieval Augmented Generation) pipelines that incorporate varied data sources and formats to improve prompt execution. * Establish best practices ...

Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help ...