Retrieval Augmented Generation Rag Jobs in New York

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:

FastAPI * Retrieval-Augmented Generation (RAG) * Agentic AI / AI Agents / Multi-Agent workflows * AWS Serverless (Lambda, ECS, Step Functions) * REST API development * Authentication (JWT, IAM ...

Build Retrieval-Augmented Generation (RAG) pipelines using embeddings, semantic search, vector databases, chunking strategies, reranking, response grounding, and citation mechanisms. * Fine-tune and ...

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:

Build Retrieval-Augmented Generation (RAG) systems using semantic search and vector databases * Integrate OpenAI, Anthropic, and other LLM APIs using function calling, structured outputs, and ...

Design and implement Retrieval-Augmented Generation (RAG) architectures using vector databases and enterprise data sources. * Collaborate with business stakeholders, product teams, and engineering ...

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 ...

As large language models and Retrieval-Augmented Generation (RAG) technologies reshape enterprise search and knowledge discovery, we are investing in next-generation AI systems that combine ...

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 ...

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 ...

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

... Retrieval-Augmented Generation (RAG) • Semantic Search • Agent-Based Systems • Generative AI Solutions • AI-Powered Workflow Automation Technical Skills • Strong proficiency in one or more ...

... Retrieval-Augmented Generation (RAG), Python, and cloud-native engineering on Azure • Senior-level, hands-on engineering experience required; entry-level or mid-level candidates are not suitable ...

... Retrieval-Augmented Generation (RAG) • Semantic Search • Agent-Based Systems • Generative AI Solutions • AI-Powered Workflow Automation Technical Skills • Strong proficiency in one or more ...

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 ...