Retrieval Augmented Generation Rag Jobs in Avondale, AZ

... 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 ...

... retrieval-augmented generation (RAG), orchestration frameworks, and scalable AI services. You will work closely with business stakeholders and engineering teams to deliver reusable AI capabilities ...

Build intelligent solutions utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and workflow orchestration technologies. * Develop scalable backend services, REST ...

Build intelligent solutions utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and workflow orchestration technologies. * Develop scalable backend services, REST ...

... retrieval-augmented generation (RAG), orchestration frameworks, and scalable AI services. You will work closely with business stakeholders and engineering teams to deliver reusable AI capabilities ...

... retrieval-augmented generation (RAG) pipelines over proprietary data to keep outputs grounded and accurate · Integrate LLM capabilities into internally built (homegrown) applications via APIs ...

Prompt engineering Evaluation frameworks Retrieval-Augmented Generation (RAG) Good to Have Experience with Agentic AI and multi-agent orchestration Experience with LLMOps / MLOps in production ...

... retrieval-augmented generation (RAG), prompt engineering, and agentic AI frameworks. Partner with Security, Risk, Engineering, Governance, and Data teams to deliver secure, reliable, scalable, and ...

Develop agent-based solutions using modern AI frameworks, Retrieval-Augmented Generation (RAG), GraphRAG, and Model Context Protocol (MCP). * Create and maintain streaming and batch data pipelines ...

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 -- prior work product, regulatory guidance, client ...

Data & Retrieval: Proficiency in vector databases (Pinecone, Weaviate, Chroma, Milvus) and building Retrieval-Augmented Generation (RAG) or GraphRAG pipelines. * Agentic Workflows: Designing multi ...

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 ...

Design and implement RAG (Retrieval-Augmented Generation) pipelines, integrate MCP (Model Context Protocol) servers/tools, vector databases, and enterprise LLM orchestration framework (e.g., Spring ...

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

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 ...

... Retrieval Augmented Generation (RAG) using vector search and enterprise knowledge sources. • Continuously optimize prompts for accuracy, consistency, latency, and cost efficiency. • Build and ...

Familiarity with vector databases, embeddings, semantic search, large language models (LLMs), and Retrieval-Augmented Generation (RAG) patterns * Basic understanding of AI/ML and Generative AI ...

Experience implementing RAG (Retrieval-Augmented Generation) solutions using vector databases such as Pinecone, ChromaDB, Weaviate, Milvus, or FAISS . * Experience integrating AI models such as ...

The AI Platform Architect designs and implements the architecture that connects Troon's data platform to AI-enabled applications, including retrieval-augmented generation (RAG) services, document and ...