Retrieval Augmented Generation Rag Jobs in Dallas, TX

... Retrieval-Augmented Generation (RAG) pipelines, and Agent SDKs - Skilled in building and deploying AI/LLM systems in production environments - Familiarity with AI agents, including evaluation ...

Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...

Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...

Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...

Implement retrieval-augmented generation (RAG) pipelines with memory, context management, and tool usage. * Define Model Context Protocol (MCPs) to chain reasoning, retrieval, and action models.

Implement Retrieval-Augmented Generation (RAG) and prompt engineering solutions. * Collaborate with data scientists, AI engineers, and business stakeholders to deliver AI-driven solutions. * Optimize ...

Engineer robust Retrieval-Augmented Generation (RAG) solutions that aggregate diverse business intelligence-spanning strategic client priorities, communication history, and value metrics-to ensure ...

Design and implement Generative AI solutions using modern AI patterns such as Retrieval-Augmented Generation (RAG) . * Develop backend APIs using Python to support AI-driven applications. * Build and ...

In this role, you will design, build, and enhance intelligent applications thatleverageLarge Language Models (LLMs), document processing pipelines, Retrieval-Augmented Generation (RAG) architectures ...

Advanced expertise in Prompt Engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) techniques. Experience working with Vector databases and text embeddings. Experience within Google ...

Engineer robust Retrieval-Augmented Generation (RAG) solutions that aggregate diverse business intelligence-spanning strategic client priorities, communication history, and value metrics-to ensure ...

Engineer robust Retrieval-Augmented Generation (RAG) solutions that aggregate diverse business intelligence-spanning strategic client priorities, communication history, and value metrics-to ensure ...

Advanced expertise in Prompt Engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) techniques. Experience working with Vector databases and text embeddings. Experience within Google ...

Neural Networks, Decision Trees, SVM, NLP, Reinforcement Learning, Ensemble Methods, MCP • Strong knowledge with RAG (Retrieval-Augmented Generation), Prompt Engineering, Agentic AI • Knowledge ...

Solid understanding and practical experience in implementing Retrieval Augmented Generation (RAG) systems. Expertise in at least one modern Python web framework: FastAPI, Flask, or Django. Strong ...

Experience with AI development frameworks and concepts, including Retrieval-Augmented Generation (RAG), Machine Learning Control Plane (MCP), and Large Language Models (LLMs). Proficiency in ...

Retrieval Augmented Generation (RAG) * AI Agents & Copilot Development * MLOps, CI/CD, Model Monitoring * Azure, AWS, or Google Cloud Platform * Data Engineering & Data Architecture * SQL and Data ...

Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for Large Language Models (LLMs) to provide contextually relevant and accurate outputs. This includes ingesting, processing, and ...

DESIGNATION AI Engineer We are seeking a forwardthinking AI Engineer to architect and deploy intelligent systems powered by Large Language Models LLMs Retrieval Augmented Generation RAG and advanced ...

Implement retrieval-augmented generation (RAG) pipelines with memory, context management, and tool usage. * Define Model Context Protocol (MCPs) to chain reasoning, retrieval, and action models.