Retrieval Augmented Generation Rag Jobs in Florida

Developing and maintaining LLM-powered solutions| including prompt engineering| agent orchestration| tool calling| and Retrieval-Augmented Generation (RAG) implementations. Creating and supporting ...

Develop and optimize Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge sources. * Create intelligent AI agents and workflows capable of interacting ...

Develop and optimize Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge sources. * Create intelligent AI agents and workflows capable of interacting ...

Lead delivery of Generative AI solutions utilizing Retrieval-Augmented Generation (RAG) architectures and Large Language Models (LLMs). * Coordinate activities between Government stakeholders ...

Drive the firm's adoption of AI engineering best practices, including prompt engineering, model evaluation, retrieval-augmented generation (RAG), Model Context Protocol (MCP), vector search, tool ...

Drive the firm's adoption of AI engineering best practices, including prompt engineering, model evaluation, retrieval-augmented generation (RAG), Model Context Protocol (MCP), vector search, tool ...

Experience building Retrieval-Augmented Generation (RAG) pipelines| AI orchestration workflows| and LLM gateways.Working knowledge of PyTorch| Hugging Face ecosystem| embeddings| inference| and model ...

Expertise in Retrieval-Augmented Generation (RAG). * Prompt engineering, prompt optimization, embeddings, semantic search, and model evaluation. * Experience integrating multiple LLM providers and ...

Develop Retrieval-Augmented Generation (RAG) applications. * Design AI architectures for enterprise-scale applications. * Build end-to-end ML pipelines from data ingestion to model deployment.

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, and embedding models * LLM orchestration frameworks (LangChain, LangGraph, or equivalent) * Fine-tuning experience, specifically LoRA (PEFT and ...

... • Retrieval-Augmented Generation (RAG) • Model fine-tuning Company : Echo IT Solutions provides IT consulting, managed services, cloud, cybersecurity, data, and custom software development.

Build advanced AI workflows such as retrieval-augmented generation (RAG) pipelines, prompt chaining, contract automation, and interactive Q&A assistants for attorneys and legal support teams. * Full ...

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

Proficiency in approaches to retrieval augmented generation (RAG), model context protocol (MCP), and other recent technologies supporting agentic AI. * Foundational knowledge of statistics related to ...

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

Responsibilities : • Design and implement guardrail systems for securing LLM inputs and outputs in production environments • Secure Retrieval-Augmented Generation (RAG) pipelines, vector ...

Design and operate retrieval-augmented generation (RAG) pipelines with Databricks Delta Tables, Unity Catalog, and Vector Search (or Spark/Hadoop equivalents). Monitor cost, latency, adoption, and ...

... Retrieval-Augmented Generation (RAG) architectures • Build AI agents and multi-agent workflows for enterprise use cases • Design enterprise knowledge retrieval and semantic search solutions • ...

You will work on NLP/GenAI use cases such as classification, summarization, and retrieval-augmented generation (RAG), partnering with product and engineering teams to deliver scalable, secure, and ...