Retrieval Augmented Generation Rag Jobs in Georgia

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

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 ...

Design, develop, and optimize RAG (Retrieval-Augmented Generation) solutions. * Implement monitoring, logging, observability, and security controls across AI applications. * Troubleshoot AI agent ...

Design, develop, and optimize RAG (Retrieval-Augmented Generation) solutions. * Implement monitoring, logging, observability, and security controls across AI applications. * Troubleshoot AI agent ...

This position integrates cutting-edge technologies-including AI agents, retrieval-augmented generation (RAG), and large language models (LLMs)-to enable dynamic interaction with structured and ...

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 ...

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 ...

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 ...

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

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 ...

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 ...

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 ...

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 ...

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

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 ...

Guide engineers on best practices for Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), prompt engineering, and model integration. * Mentor AI engineers through technical coaching ...

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 ...

Retrieval-Augmented Generation (RAG) * Agentic AI frameworks * Machine Learning and Deep Learning * NLP and/or Computer Vision * Strong experience with Python, SQL, Spark , and modern data ...

This role will focus on building production-grade AI solutions , including Retrieval-Augmented Generation (RAG) , multi-agent orchestration, NLP pipelines, transcription solutions, model deployment ...