Retrieval Augmented Generation Rag Jobs in Winter Garden, FL

Retrieval-Augmented generation (RAG) * Document Ingestion and preprocessing * Chunking Strategies (semantic, recursive, sliding window) * Embeddings * Vector database - pgvector * Hybrid search ...

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

... retrieval-augmented generation (RAG), or AI agents, including use of model APIs, orchestration frameworks, and AI development tools such as Claude Code, OpenAI Codex, GitHub Copilot, or Cursor

The ideal candidate has a strong background in application, product, or cloud security combined with hands-on knowledge of modern AI technologies such as LLMs, Retrieval-Augmented Generation (RAG ...

Retrieval-augmented generation (RAG) * Strong judgment around scope, speed, and quality tradeoffs * Passion for working at the cutting edge of AI technology Required Education * Bachelor's degree in ...

... retrieval-augmented generation (RAG), agent frameworks, and orchestration platforms Design AI-driven automation solutions that streamline operational workflows and task management Build and maintain ...

Experience with Retrieval-Augmented Generation (RAG), embeddings, and vector search. * Experience supporting large-scale MySQL or other relational database environments. * Knowledge of enterprise ...

Experience with Retrieval-Augmented Generation (RAG), embeddings, and vector search. * Experience supporting large-scale MySQL or other relational database environments. * Knowledge of enterprise ...

Experience with Retrieval-Augmented Generation (RAG), embeddings, and vector search. * Experience supporting large-scale MySQL or other relational database environments. * Knowledge of enterprise ...

Demonstrated ability to design and build AI-enabled workflows in legal or professional-services settings, including prompt engineering, retrieval-augmented generation (RAG) concepts, and evaluation ...

Experience with Retrieval-Augmented Generation (RAG), embeddings, and vector search. * Experience supporting large-scale MySQL or other relational database environments. * Knowledge of enterprise ...

... retrieval-augmented generation (RAG), agent frameworks, and orchestration platforms • Design AI-driven automation solutions that streamline operational workflows and task management • Build and ...

... and retrieval-augmented generation. * Engineering integrations between data platforms, governance, risk, and compliance workflows, and enterprise systems using application programming interfaces ...

Skills & Requirements Deep expertise designing AI solutions, including generative AI, large language model (LLM) integration, prompt engineering, retrieval-augmented generation (RAG), AI ...

Experience building AI solutions using Azure OpenAI, LangChain, Retrieval-Augmented Generation (RAG), AI agents, prompt engineering techniques, and related AI development frameworks. Experience with ...

Lead the design and oversight of AI-enabled systems, including prompt engineering strategies, retrieval-augmented generation (RAG), embeddings, and agentic workflows. * Establish and evolve ...

Set the architectural direction for AI systems, including large language model integration, retrieval-augmented generation, and agentic workflows. * Take AI capabilities from prototype into ...

Hands-on experience building LLM or AI applications using retrieval-augmented generation, embeddings, vector or hybrid search, prompt orchestration, tool calling, grounded-response evaluation, and ...

KPI → narrative → media/HTML), retrieval-augmented generation (RAG) where appropriate, evaluation harnesses, guardrails, and Copilot/agent workflows that automate operational processes. * Own ...

Spearhead the design and integration of Generative AI applications including prompt engineering, retrieval augmented generation (RAG), fine-tuning(LoRA, QoRA), and multimodal AI for Enterprise use.