Retrieval Augmented Generation Rag Jobs in Miami, FL

Architecting and implementing Retrieval-Augmented Generation (RAG) systems and vector search platforms * Designing LLM-powered knowledge systems for enterprise use cases * Strong hands-on experience ...

Position Description We are seeking an experienced AI Retrieval & Relevance Engineer to architect, implement, and optimize retrieval-augmented generation (RAG) and hybrid search systems that provide ...

Experience with prompt engineering, RAG (Retrieval-Augmented Generation), and vector databases. * Knowledge of AI model integration using APIs such as OpenAI, Anthropic, or similar platforms.

Retrieval-Augmented Generation (RAG) * Familiarity with Docker , Kubernetes , or containerized services. * Experience with Terraform or other IaC tools. * Background in developer productivity ...

Build Retrieval-Augmented Generation (RAG) pipelines using Amazon OpenSearch, Aurora ML Vector Engine, DynamoDB, or 3rd-party vector databases. * Evaluate foundation models (Claude, Llama, Amazon ...

Develop generative AI solutions using LLMs, orchestration frameworks, and retrieval-augmented generation (RAG) architectures. * Build production-grade AI systems integrating machine learning models ...

Develop generative AI solutions using LLMs, orchestration frameworks, and retrieval-augmented generation (RAG) architectures. * Build production-grade AI systems integrating machine learning models ...

Develop generative AI solutions using LLMs, orchestration frameworks, and retrieval-augmented generation (RAG) architectures. * Build production-grade AI systems integrating machine learning models ...

Implement RAG (Retrieval-Augmented Generation) applications to enhance AI systems with dynamic information retrieval. * Build and integrate AI agentic frameworks for autonomous decision-making and ...

Implement RAG (Retrieval-Augmented Generation) applications to enhance AI systems with dynamic information retrieval. * Build and integrate AI agentic frameworks for autonomous decision-making and ...

Develop RAG (Retrieval-Augmented Generation) pipelines and implement MCPs (Model Context Protocol / modular AI pipelines) * Ensure performance, scalability, security, and high availability of ...

Develop RAG (Retrieval-Augmented Generation) pipelines and implement MCPs (Model Context Protocol / modular AI pipelines) * Ensure performance, scalability, security, and high availability of ...

Understanding of AI agent concepts including LLMs, retrieval-augmented generation (RAG), prompt engineering best practices, and agent orchestration frameworks. * Experience with cloud platforms ...

Understanding of AI agent concepts including LLMs, retrieval-augmented generation (RAG), prompt engineering best practices, and agent orchestration frameworks. * Experience with cloud platforms ...

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

Retrieval-Augmented Generation (RAG) * Prompt Engineering * AI orchestration frameworks * Vector databases * AI agents and autonomous workflows * Experience implementing AI-enabled SDLC and developer ...

Practical understanding of building applications using Generative AI, including prompt orchestration, retrieval-augmented generation (RAG), LLM APIs, and vector databases. * Operational Execution ...

Retrieval-Augmented Generation (RAG) * Prompt Engineering * AI orchestration frameworks * Vector databases * AI agents and autonomous workflows * Experience implementing AI-enabled SDLC and developer ...

... retrieval-augmented generation (RAG), and evaluation/monitoring in production. · Experience with DevOps practices and CI/CD pipelines; automated testing; and observability (logging, metrics, tracing ...

Deep familiarity with modern LLM application architectures, vector databases, prompt design, fine-tuning, retrieval-augmented generation (RAG), and agent orchestration libraries. * Hybrid Team ...