Temporary Retrieval Augmented Generation Jobs in Georgia

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

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

... Retrieval-Augmented Generation (RAG) ◦ Tool/function calling architectures • Experience deploying and scaling applications on Azure cloud

Integrate and manage Amazon Knowledge Bases and Vector Databases to enhance contextual understanding and retrieval-augmented generation (RAG) workflows. * Employ MLOps practices to automate model ...

Integrate and manage Amazon Knowledge Bases and Vector Databases to enhance contextual understanding and retrieval-augmented generation (RAG) workflows. * Employ MLOps practices to automate model ...

Implement advanced prompt engineering and retrieval-augmented generation strategies. • Technical Leadership: Guide engineering teams through prototyping and delivery, ensuring architectural ...

Experience building Retrieval-Augmented Generation (RAG) pipelines and connecting with Vector Database

Work with AI, including large language model (LLM) prompts, Retrieval-Augmented Generation (RAG), and AI-powered chatbot/virtual assistants. Utilize Agenic AI, LangChain, LangGraph, LangSmith, and ...

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

Work with AI, including large language model (LLM) prompts, Retrieval-Augmented Generation (RAG), and AI-powered chatbot/virtual assistants. Utilize Agenic AI, LangChain, LangGraph, LangSmith, and ...

Develop and maintain Retrieval?Augmented Generation (RAG) and reasoning pipelines to ensure grounded, reliable, and adaptive agent behavior. * Collaborate closely with GenAI engineers, application ...

Design end-to-end retrieval-augmented generation (RAG) systems leveraging enterprise knowledge bases, policy documents, SOPs, and historical claims data. * Build autonomous and semi-autonomous agents ...

Work on enhancing retrieval-augmented generation (RAG) models to increase the relevance and precision of search results. * Collaborate with cross-functional teams, including data scientists, machine ...

Build next-generation retrieval-augmented generation systems that integrate structured graph reasoning with neural retrieval. * Implement and refine LLM evaluation frameworks to ensure each mind ...

... retrieval-augmented generation (RAG) pipelines: ingest documents, chunk data, generate embeddings, and implement semantic/vector search. - Define and monitor metrics for quality, safety, and ...

Own end-to-end retrieval-augmented generation (RAG) implementations (ingestion, chunking, embedding, indexing, retrieval, orchestration); define prompt engineering standards and evaluation harnesses ...

Own end-to-end retrieval-augmented generation (RAG) implementations (ingestion, chunking, embedding, indexing, retrieval, orchestration); define prompt engineering standards and evaluation harnesses ...

Plan and design the pipeline for retrieval-augmented generation, outlining how new data gets processed and included to keep the agent's knowledge current. • Multi-Modal Data Integration: Design an ...

Applies advanced techniques such as Retrieval-Augmented Generation (RAG) to combine structured data with generative models for enhanced contextual accuracy * Collaborates with cross-functional teams ...

Incorporate advanced prompt engineering techniques and retrieval-augmented generation (RAG) into solution design. • Technical Leadership in Delivery: Guide engineering teams through prototyping and ...