Retrieval Augmented Generation Rag Jobs in Fairburn, GA

Build and enhance Generative AI, LLM, and Retrieval-Augmented Generation (RAG) applications, including chatbot and conversational AI capabilities. * Develop and optimize data pipelines, feature ...

Build and enhance Generative AI, LLM, and Retrieval-Augmented Generation (RAG) applications, including chatbot and conversational AI capabilities. * Develop and optimize data pipelines, feature ...

AI/ML & Generative AI(Primary Skill set) NLP and Transformer Architectures Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) Model Context Protocol (MCP) Frameworks ...

Experience developing Retrieval-Augmented Generation (RAG) systems, semantic search, vector databases, embeddings, and prompt engineering techniques highly preferred. * Experience designing and ...

Experience developing Retrieval-Augmented Generation (RAG) systems, semantic search, vector databases, embeddings, and prompt engineering techniques highly preferred. * Experience designing and ...

Architect Generative AI, Agentic AI, RAG (Retrieval-Augmented Generation), LLM, and intelligent automation solutions. * Design scalable cloud-native AI architectures on AWS, Azure, or Google Cloud ...

Develop Retrieval-Augmented Generation (RAG) and Ontology-Augmented Generation (OAG) solutions leveraging Foundry data. * Build AI copilots, decision-support systems, and autonomous workflows using ...

RAG (Retrieval-Augmented Generation) * Prompt engineering * Vector databases (design/usage/integration) * Model build + deployment * GenAI model build: training, fine-tuning, validation * Model ...

Architect AI/ML solutions involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and LangChain (Lang). * Integrate and manage MCP Server for scalable AI infrastructure and ...

Experience with prompt engineering, retrieval-augmented generation (RAG), and vector databases (e.g., FAISS, Pinecone, Chroma). * Strong problem-solving and analytical skills. * Excellent ...

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), embedding pipelines, chunking strategies, reranking, and grounding techniques. • Work with OpenAI SDK and other LLM providers (Anthropic, Azure OpenAI, Cohere ...

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

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 ...

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 ...

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 ...

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 models, RAG (Retrieval Augmented Generation) architecture, and Natural Language Processing (NLP). * Cloud Platforms: Familiarity with Google Cloud Platform (GCP)