Retrieval Augmented Generation Rag Jobs in Arizona

Responsibilities Develop GenAI applications and chatbots Work with LLM APIs Implement prompt engineering techniques Build retrieval-augmented generation (RAG) systems Requirements Strong Python ...

... Retrieval-Augmented Generation (RAG), and Agentic AI technologies. Working within a highly regulated financial environment, you will contribute to building scalable data solutions and support AI ...

... Skills: - Retrieval-Augmented Generation (RAG) - Prompt engineering and optimization - Data Modeling - Synthetic Data Generation - Exploratory Data Analysis - Data cleaning and preprocessing ...

Examples of Tasks 1. Designs and implements Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge systems. Supports all aspects of in-life products, including customer feedback ...

Examples of Tasks 1. Designs and implements Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge systems. Supports all aspects of in-life products, including customer feedback ...

Retrieval-Augmented Generation (RAG) * Tool and workflow orchestration * Prompt engineering and evaluation frameworks * Knowledge retrieval and context management * Experience translating business ...

Retrieval-Augmented Generation (RAG) architectures * AI agents and orchestration frameworks * Develops intelligent copilots and assistants using Copilot Studio, integrating enterprise data and ...

RAG pipeline (Retrieval-Augmented Generation) * LLM (large language models) * OpenAI Preferred Skills: * SQL DB or PostgreSQL * REST API's * CI/CD * Docker * React * Azure cloud

Retrieval-Augmented Generation (RAG) * Embeddings, chunking methods, and reranking strategies * Frameworks used to evaluate LLM performance * Tool usage and agent-based architectures * Optimizing ...

Build and maintain content vectorization and retrieval-augmented generation (RAG) pipelines that give AI agents access to relevant financial context, including prior work product, regulatory guidance ...

Build and maintain content vectorization and retrieval-augmented generation (RAG) pipelines that give AI agents access to relevant financial context, including prior work product, regulatory guidance ...

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

Design, build and rollout production-grade AI solutions, including LLM-powered applications, retrieval-augmented generation (RAG) systems, ensuring high standards of accuracy, reliability, and ...

LLMs * retrieval-augmented generation (RAG) * automation and code generation * Strong software skills (Java and Python), including: * test program development * scripting or tool development * Proven ...

LLMs * retrieval-augmented generation (RAG) * automation and code generation * Strong software skills (Java and Python), including: * test program development * scripting or tool development * Proven ...

Integrate with large language models (LLMs) using prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques. * Implement MCP client and server within the Grafana ecosystem ...

Multi-agent architectures Retrieval-Augmented Generation (RAG) pipelines GraphRAG implementations Autonomous agent workflows and orchestration Develop and integrate AI agents with tools, APIs, and ...

LLM APIs (OpenAI / Gemini / Claude) • Prompt engineering Understanding of: • RAG (Retrieval-Augmented Generation) • Embeddings & vector databases Roles & Responsibilities • Experience with ...

... retrieval-augmented generation (RAG), or AI agents, including use of model APIs, orchestration frameworks, and AI development tools such as Claude Code, OpenAI Codex, GitHub Copilot, or Cursor

Help implement and maintain retrieval-augmented generation (RAG) pipelines over financial data, with an emphasis on correctness and safety. * Contribute to shared AI infrastructure such as LLM ...