Retrieval Augmented Generation Rag Jobs in New York

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 ...

Implement retrieval-augmented generation (RAG) strategies to enhance the context and relevance of generated outputs. * Manage and optimize vector databases for efficient storage and retrieval of data ...

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:

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 ...

Design Retrieval-Augmented Generation (RAG) frameworks to enhance accuracy and reliability of AI outputs. * Establish best practices for knowledge retrieval, grounding, and AI response quality.

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

Architect intelligent applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI frameworks. * Develop multi-agent workflows utilizing technologies such as ...

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.

Experience with foundation models, generative AI systems, multimodal models, agentic workflows, retrieval-augmented generation (RAG), or related AI technologies.

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 ...

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 ...

Demonstrates the ability to assess and apply diverse AI model types including large language models (LLMs), machine learning models, agent-based frameworks, retrieval-augmented generation (RAG), and ...

Retrieval-Augmented Generation (RAG) * AI Agents * Machine Learning fundamentals Cloud & Infrastructure * Azure, AWS, or Google Cloud * Docker * Git * CI/CD Development * REST APIs * Backend ...

Support AI and LLM initiatives through entity linking, metadata enrichment, embedding pipelines, and Retrieval-Augmented Generation (RAG) solutions. * Collaborate with data engineers, architects, and ...

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 ...

Demonstrates the ability to assess and apply diverse AI model types including large language models (LLMs), machine learning models, agent-based frameworks, retrieval-augmented generation (RAG), and ...