Retrieval Augmented Generation Rag Jobs in Atlanta, GA

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

... Retrieval-Augmented Generation (RAG) and knowledge-grounded AI solutions • Integrate AI agents with enterprise systems via REST APIs, databases, and cloud services • Build agent memory, tool ...

Enhance AI reasoning and retrieval-augmented generation (RAG) techniques to improve the agent's ability to pull in relevant, up-to-date information. Integrate Google Cloud Functions for seamless ...

Leveraging Snowflake Cortex, Snowpark, and AI coding assistants, you will build Retrieval-Augmented Generation (RAG) pipelines, semantic layers, and vector search capabilities that power our ...

... retrieval-augmented generation architectures, prompt and orchestration layers, and the backend ... Build end-to-end RAG pipelines covering document ingestion, chunking strategy, embedding generation ...

Retrieval-Augmented Generation (RAG): Implementing vector databases (e.g., Pinecone, FAISS) to allow models to access and reason. * Prompt Engineering: Refining and optimizing high-quality prompts to ...

... Retrieval-Augmented Generation (RAG) solutions using structured/unstructured data from Oracle and PostgreSQL databases Integrate AI-powered query optimization tools to enhance database performance ...

Prompt Engineering & RAG Implementation Leverage prompt engineering and Retrieval-Augmented Generation (RAG) to improve contextual accuracy and relevance of model outputs. * Stakeholder Collaboration ...

You will design prompts and Retrieval-Augmented Generation (RAG) workflows, package models as APIs, and support cloud deployment while ensuring outputs are evaluated, monitored, and aligned to ...

Architect and maintain advanced Retrieval-Augmented Generation (RAG) pipelines that feed highly relevant, real-time enterprise context to foundation models. * Implement and manage stateful memory ...

You will design prompts and Retrieval-Augmented Generation (RAG) workflows, package models as APIs, and support cloud deployment while ensuring outputs are evaluated, monitored, and aligned to ...

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

Knowledge of text embedding models and vector databases for Retrieval Augmented Generation (RAG) systems. * Experience with orchestration frameworks (e.g., LangChain/LangGraph) to build AI agents and ...

Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models to ground agents in enterprise data. * Integrate Large Language Models-Anthropic Claude ...

Experience working on cutting-edge technologies to solve problems using Retrieval Augmented Generation (RAG), Fine tuning LLMs, Prompt tuning, Graph RAGs, Knowledge graphs, etc. * Strong background ...

Preferred Qualifications * 3+ years of Experience with IoT, device telemetry, or distributed sensor data systems. * 3+ years of Background in LLM tuning, retrieval-augmented generation (RAG), and ...

Proficiency in using vector databases and Retrieval-Augmented Generation (RAG) techniques to ground AI models with external data and prevent hallucinations. APIs and Integrations: The ability to ...

This role will focus on building scalable, production-grade AI solutions--starting with projects involving Retrieval-Augmented Generation (RAG) and multi-agent orchestration for purposes of internal ...

Design and implement advanced architectures such as Retrieval-Augmented Generation (RAG) . * Model Deployment & MLOps * Use Vertex AI Pipelines , Model Registry , and Prediction Services to deploy ...

Hands-on experience with Generative AI , LLMs , OpenAI , GPT , LangChain , and RAG (Retrieval-Augmented Generation) . * Experience with Vector Databases (Pinecone, FAISS, ChromaDB, or Milvus)