Retrieval Augmented Generation Rag Jobs in Georgia

Knowledge of RAG (Retrieval-Augmented Generation) architectures. * Experience integrating Qdrant with LLM frameworks such as LangChain or LlamaIndex. * Familiarity with REST APIs and microservices.

LLMs and prompt engineering Retrieval-Augmented Generation (RAG) Tool/function calling architectures Experience deploying and scaling applications on Azure cloud

... retrieval-augmented generation (RAG) and reranking; agent orchestration with LangGraph or comparable; or LLM fine-tuning. • Proficient in Python and comfortable working with async code, data ...

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

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

You'll contribute to building and scaling intelligent systems-from core ML models to chatbot and Retrieval-Augmented Generation (RAG) applications. With strong skills in Python, SQL, and cloud ...

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 ...

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 ...

Architect Retrieval-Augmented Generation (RAG) pipelines integrating structured and unstructured enterprise data sources. * Fine-tune or adapt foundation models where appropriate using parameter ...

... solutions, retrieval-augmented generation (RAG), knowledge graph technologies, and emerging agentic AI frameworks. The position also supports AI governance, model lifecycle management, and the ...

... solutions, retrieval-augmented generation (RAG), knowledge graph technologies, and emerging agentic AI frameworks. The position also supports AI governance, model lifecycle management, and the ...

... solutions, retrieval-augmented generation (RAG), knowledge graph technologies, and emerging agentic AI frameworks. The position also supports AI governance, model lifecycle management, and the ...

Solid understanding of context handling, retrieval-augmented generation (RAG), and optimization techniques * Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow) * Experience ...

Support implementation of Retrieval-Augmented Generation (RAG), enterprise knowledge management, and AI-powered search solutions. * Monitor program KPIs, adoption metrics, value realization, and ROI.

Contribute to the development and optimization of retrieval-augmented generation (RAG) systems using structured and unstructured enterprise data. • Translate Requirements: Collaborate with cross ...

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 ...

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 ...

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 ...