Retrieval Augmented Generation Rag Jobs in Rochester, MI

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

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 ...

The AI Architect will own and define reference architectures for Retrieval-Augmented Generation (RAG), Conversational AI, Document Intelligence, and Agentic AI, ensuring solutions are scalable ...

Build Retrieval-Augmented Generation solutions using Azure AI Search, vector databases, embeddings ... Strong experience developing RAG-based applications. Hands-on experience with Azure AI Search ...

Experiment with and implement Retrieval Augmented Generation (RAG), embeddings, vector databases, and other AI-driven architectures * Create seamless full-stack experiences from database to user ...

Solid understanding of Prompt engineering and retrieval-augmented generation (RAG), RESTful APIs and integration patterns, and Data structures, algorithms, and basic ML/LLM concepts.* Experience ...

Key Responsibilities - Design, develop, and support RAG (Retrieval-Augmented Generation) pipelines for the application modernization initiative. - Develop Python-based solutions and data/ML workflows ...

Solid understanding of Prompt engineering and retrieval-augmented generation (RAG), RESTful APIs and integration patterns, and Data structures, algorithms, and basic ML/LLM concepts. * Experience ...

Solid understanding of Prompt engineering and retrieval-augmented generation (RAG), RESTful APIs and integration patterns, and Data structures, algorithms, and basic ML/LLM concepts. * Experience ...

Retrieval-Augmented Generation (RAG) * Machine Learning lifecycle concepts * Strong communication and collaboration skills with technical and non-technical stakeholders. Preferred Qualifications:

Familiarity with Semantic Index , retrieval-augmented generation (RAG) concepts, and how Copilot grounds responses in enterprise data. * Experience conducting oversharing/permissions audits and ...

... RAG (Retrieval-Augmented Generation) systems to enhance agent knowledge and context Create generative models for code generation, content creation, and strategic planning within agent frameworks ...

... RAG (Retrieval-Augmented Generation) systems to enhance agent knowledge and context Create generative models for code generation, content creation, and strategic planning within agent frameworks ...

Experience building LLM-powered APIs or retrieval-augmented generation (RAG) systems. * Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS, OpenSearch kNN). * Experience with Kafka ...

Experience building LLM-powered APIs or retrieval-augmented generation (RAG) systems. * Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS, OpenSearch kNN). * Experience with Kafka ...

Experience building LLM-powered APIs or retrieval-augmented generation (RAG) systems. * Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS, OpenSearch kNN). * Experience with Kafka ...

Retrieval-Augmented Generation (RAG) systems * Internal AI services and APIs * Integrate commercial and open-source LLMs (e.g., OpenAI, Anthropic, Databricks, open-source models) into enterprise ...

Exposure to LLM application patterns such as retrieval-augmented generation (RAG), prompt engineering, or evaluating AI output quality. * Hands-on usage of AI tools in your development workflow, such ...

Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...