Retrieval Augmented Generation Rag Jobs in Miami, FL

Implement Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs) * Deliver Gen AI use cases in live production environments Required Skills * Python programming ...

Utilize Retrieval Augmented Generation (RAG) techniques to improve data retrieval and decision‑making processes. * MLOps Integration (Plus): * Champion MLOps best practices to streamline the ...

Architect enterprise-scale Generative AI solutions leveraging LLMs, embeddings, and retrieval-augmented generation (RAG) pipelines. * Design and implement scalable AI microservices and APIs ...

... Augmented Generation (RAG) patterns and retrieval quality improvements. Design conversational flows for internal functions (e.g., HR helpdesk), including intent handling, escalation paths, and ...

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) • Vector Databases • LangChain, LlamaIndex, Semantic Kernel, or similar frameworks • Git, CI/CD, DevOps practices Data & Analytics • Data Engineering • ...

Build and support retrieval-augmented generation (RAG), embeddings, vector search, document ingestion pipelines, prompt workflows, and AI assistant capabilities for internal users and distributor ...

Retrieval-Augmented Generation (RAG) * Experience with Docker , Kubernetes , and container orchestration. * Familiarity with Terraform or other Infrastructure-as-Code tools. * Experience in developer ...

Retrieval-Augmented Generation (RAG) * Vector Databases * LangChain, LlamaIndex, Semantic Kernel, or similar frameworks * Git, CI/CD, DevOps practices Data & Analytics * Data Engineering * Data ...

Experience with Retrieval-Augmented Generation (RAG) * Preferred: Experience with vector databases (Pinecone, Weaviate, Milvus, pgvector, ChromaDB, etc.) * Preferred: Experience with Model Context ...

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 ...

Implement Retrieval-Augmented Generation (RAG) architectures and institutional knowledge search capabilities. * Support future AI initiatives including predictive student success analytics and ...

Implement Retrieval-Augmented Generation (RAG) architectures and institutional knowledge search capabilities. * Support future AI initiatives including predictive student success analytics and ...

... retrieval-augmented generation (RAG), embeddings, vector search, model serving, monitoring, and technical governance. The role works closely with IT, infrastructure, business data owners, the AI ...

Support retrieval-augmented generation (RAG) solutions, including document ingestion, parsing, semantic chunking, embeddings, and retrieval patterns. * Evaluate tools and recommend production-ready ...

... retrieval-augmented generation (RAG), embeddings, vector search, model serving, monitoring, and technical governance. The role works closely with IT, infrastructure, business data owners, the AI ...

... retrieval-augmented generation (RAG), embeddings, vector search, model serving, monitoring, and technical governance. The role works closely with IT, infrastructure, business data owners, the AI ...

... retrieval-augmented generation (RAG), embeddings, vector search, model serving, monitoring, and technical governance. The role works closely with IT, infrastructure, business data owners, the AI ...

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