Freelance Retrieval Augmented Generation Jobs in Michigan

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

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 ...

Strong knowledge of Retrieval-Augmented Generation (RAG). * Knowledge of machine learning, deep learning, and natural language processing (NLP). * Knowledge of Azure services. * Understanding of APIs ...

Strong knowledge of Retrieval-Augmented Generation (RAG). * Knowledge of machine learning, deep learning, and natural language processing (NLP). * Knowledge of Azure services. * Understanding of APIs ...

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 ...

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 ...

Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration frameworks. * Capable of working with GraphQL, microservices, or event-driven systems in fast-paced ...

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

Optimize AI performance through prompt engineering, embeddings, and retrieval-augmented generation (RAG). * Integrate AI into client workflows using APIs, automation tools, and third-party systems.

Strong knowledge of Retrieval-Augmented Generation (RAG). * Knowledge of machine learning, deep learning, and natural language processing (NLP). * Knowledge of Azure services. * Understanding of APIs ...

... Retrieval-Augmented Generation): Deep, practical knowledge of building and optimizing RAG pipelines. This includes data ingestion, various chunking strategies, embeddings, vector databases (e.g ...

Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration frameworks. * Capable of working with GraphQL, microservices, or event-driven systems in fast-paced ...

Optimize AI performance through prompt engineering, embeddings, and retrieval-augmented generation (RAG). * Integrate AI into client workflows using APIs, automation tools, and third-party systems.

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 ...

Strong understanding of retrieval-augmented generation, embeddings, and vector databases. * Experience designing evaluation pipelines for non-deterministic systems. * Strong Python skills and comfort ...

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