Retrieval Augmented Generation Jobs in Detroit, MI

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 ...

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 ...

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

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 ...

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 ...

Experience with LLM application patterns such as retrieval-augmented generation (RAG), agent evaluation harnesses, guardrails, or production monitoring of AI behavior. * Strong hands-on usage of AI ...

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

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

Design and scale Retrieval-Augmented Generation (RAG) pipelines using vector databases (pgvector, Pinecone, Weaviate, Qdrant), hybrid search, reranking, and domain-specific chunking strategies. * GCP ...

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

Data & Knowledge Management** - Design and implement RAG (Retrieval-Augmented Generation) systems - Optimize vector embeddings and similarity search algorithms - Build knowledge graph integration for ...

Implement retrieval-augmented generation (RAG), semantic search, and knowledge retrieval solutions to enhance information access. * Build robust APIs, microservices, and backend services to support ...

Implement Retrieval-Augmented Generation (RAG) patterns to allow the chatbot to provide precise answers based on technical documentation and owner manuals.Identify and troubleshoot dealer-reported ...

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 ...

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

Design and implement Retrieval-Augmented Generation (RAG), semantic search, and enterprise knowledge retrieval solutions. * Build and maintain MCP (Model Context Protocol) integrations, tool-calling ...

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

AI coding assistants, Prompt engineering, LLM APIs, Retrieval-augmented generation (RAG), Embeddings, Vector databases, Agentic workflows Engineering Practices * Agile, Secure coding, API design ...

Architect and deliver LLM-enabled Generative AI solutions (e.g., Retrieval-Augmented Generation, tool use, and agentic workflows) that enable natural-language access to SME knowledge assets such as ...

Contribute to projects such as testing AI chat assistants and copilots, validating AI agent workflows, evaluating retrieval augmented generation (RAG) search quality, automating AI response ...