Retrieval Augmented Generation Jobs in Florida (NOW HIRING)

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

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

Implement and support structured data frameworks including schema standards, embeddings, retrieval-augmented generation (RAG), vector databases, and semantic search architectures * Translate business ...

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

Validate Retrieval-Augmented Generation (RAG) outputs. Measure hallucination rates and response reliability. Required Skills 3-8 years of QA/Test Engineering experience. Experience testing Generative ...

Experience evaluating, integrating, or developing solutions using artificial intelligence (AI), machine learning (ML), generative AI, large language models * (LLMs), retrieval-augmented generation ...

Experience evaluating, integrating, or developing solutions using artificial intelligence (AI), machine learning (ML), generative AI, large language models (LLMs), retrieval-augmented generation (RAG ...

RAG (Retrieval-Augmented Generation) * Prompt engineering * Vector databases (design/usage/integration) * Model build + deployment * GenAI model build: training, fine-tuning, validation * Model ...

RAG (Retrieval-Augmented Generation) * Prompt engineering * Vector databases (design/usage/integration) * Model build + deployment * GenAI model build: training, fine-tuning, validation * Model ...

Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and knowledge repositories. * Implement agent orchestration, tool calling, memory management, and workflow automation.

Build and optimise Retrieval-Augmented Generation (RAG) pipelines and vector search solutions. * Integrate foundation models such as OpenAI, Anthropic and Gemini into customer-facing products.

... Retrieval-Augmented Generation) pipelines seamlessly within existing .NET ecosystems. • Hands-on configuration and utilization of PostgreSQL with Docker and pgvector for efficient, secure vector ...

Architect and deliver integrated AI solutions, including agentic workflows, retrieval-augmented generation pipelines, and enterprise platform integrations * Define and enforce governance, security ...

Build and integrate generative AI solutions, including LLM applications, retrieval-augmented generation, and AI agents, with secure access to data and downstream systems. Engineer authentication ...

Architect and deliver integrated AI solutions, including agentic workflows, retrieval-augmented generation pipelines, and enterprise platform integrations * Define and enforce governance, security ...

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 ...

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 ...

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

Some are conventional web applications with discrete AI integrations; others are built around retrieval-augmented generation, multi-agent orchestration, or similar applied AI architectures. You will ...