Retrieval Augmented Generation Rag Jobs in Michigan

Experience with Retrieval-Augmented Generation (RAG). * Knowledge of Agentic AI architectures. * Experience designing metadata-driven data solutions. Preferred Skills * Experience with Azure OpenAI ...

Build and optimize Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking, embeddings, hybrid retrieval, reranking, and retrieval evaluation. * Develop and maintain ...

Design Python-led Retrieval-Augmented Generation (RAG) architectures and multi-turn agent orchestration frameworks. * Develop enterprise prompt engineering standards, cookbooks, and Chain-of-Thought ...

Implement retrieval-augmented generation (RAG), semantic search, and knowledge retrieval solutions. Evaluate, benchmark, and optimize AI model performance, focusing on quality, cost, and latency.

Strong understanding of Generative AI principles and architectures, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. * Proven experience in building and ...

Develop and implement LLM-powered applications, including Retrieval-Augmented Generation (RAG), prompt orchestration, agentic workflows, and tool integrations. Create scalable APIs and AI services ...

We are seeking an experienced AI/ML Architect to design and develop conversational AI solutions using Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have a strong ...

... Retrieval Augmented Generation (RAG) solution. The ideal candidate should be capable of working across the full AI lifecycle, including ingestion, retrieval, modeling, APIs, testing, deployment ...

LLM Engineering & MLOps • Implement and manage LLM integrations including: • Secure prompt pipelines • Retrieval-Augmented Generation (RAG) using enterprise data • Model evaluation and drift ...

LLM Engineering & MLOps • Implement and manage LLM integrations including: • Secure prompt pipelines • Retrieval-Augmented Generation (RAG) using enterprise data • Model evaluation and drift ...

Develops and integrates AI-powered application features on the Microsoft Azure stack (Azure OpenAI, Azure AI Foundry), including prompt design, Retrieval-Augmented Generation (RAG) components, and ...

... Retrieval Augmented Generation (RAG) solution. The ideal candidate should be capable of working across the full AI lifecycle, including ingestion, retrieval, modeling, APIs, testing, deployment ...

Implement retrieval-augmented generation (RAG) architectures using internal and external data sources * Design data pipelines and connectors to enterprise systems (e.g., databases, APIs, knowledge ...

Develops and integrates AI-powered application features on the Microsoft Azure stack (Azure OpenAI, Azure AI Foundry), including prompt design, Retrieval-Augmented Generation (RAG) components, and ...

Implement retrieval-augmented generation (RAG) architectures using internal and external data sources * Design data pipelines and connectors to enterprise systems (e.g., databases, APIs, knowledge ...

Implement retrieval-augmented generation (RAG) architectures using internal and external data sources * Design data pipelines and connectors to enterprise systems (e.g., databases, APIs, knowledge ...

Implement retrieval-augmented generation (RAG) architectures using internal and external data sources * Design data pipelines and connectors to enterprise systems (e.g., databases, APIs, knowledge ...

Develops and integrates AI-powered application features on the Microsoft Azure stack (Azure OpenAI, Azure AI Foundry), including prompt design, Retrieval-Augmented Generation (RAG) components, and ...

Implement retrieval-augmented generation (RAG) architectures using internal and external data sources * Design data pipelines and connectors to enterprise systems (e.g., databases, APIs, knowledge ...

Implement retrieval-augmented generation (RAG) architectures using internal and external data sources * Design data pipelines and connectors to enterprise systems (e.g., databases, APIs, knowledge ...