Entrylevel Retrieval Augmented Generation Jobs in Dallas, TX

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

Design and deliver LLM-powered applications, including agentic multi-step workflows, Retrieval-Augmented Generation (RAG) systems, and structured prompt pipelines. Productionize AI: Transform AI ...

Develop Retrieval-Augmented Generation (RAG) applications using vector databases. * Create and consume REST APIs for AI services. * Design prompts and optimize AI model performance. * Work with cloud ...

OOP, design patterns, modular architecture. • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for Large Language Models (LLMs) to provide contextually relevant and accurate ...

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

Retrieval-Augmented Generation (RAG) pipelines and vector databases (e.g., Pinecone, FAISS) * API development and integration (FastAPI, REST, microservices) * Cloud platforms: AWS / Azure / GCP ...

Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows. Collaboration: Communicate proactively with teammates, AI research ...

Designsand developsAI-powered applications and features using Python, leveraging LLMs, RAG(Retrieval Augmented Generation), and agentic AI frameworks. * Buildsand deploys production-ready AI ...

Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows. * Collaboration: Communicate proactively with teammates, AI research ...

Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows. * Collaboration: Communicate proactively with teammates, AI research ...

Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows. Collaboration: Communicate proactively with teammates, AI research ...

Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows. * Collaboration: Communicate proactively with teammates, AI research ...

Building or contributing to agentic workflows, retrieval-augmented generation (RAG), and LLM-powered automation solutions * Proficiency with integration and automation platforms (e.g., Logic Apps ...

Retrieval Augmented Generation (RAG) architecture * Machine Learning - Deep Learning * Large Language Models (LLM) - Meta Llama * GPT - OpenAI * Artificial Neural Networks * Generative AI * Other ...

Experience with LLMs, generative AI, NLP, retrieval-augmented generation (RAG), or prompt orchestration frameworks. Experience designing multi-cloud application architectures and integration patterns.

Integrating Vertex AI and Google Enterprise Search/Vertex AI Search to build intelligent, context-aware discovery and retrieval-augmented generation (RAG) experiences. * Solving complex user ...

RAG (Retrieval Augmented Generation) * Agent-based workflows / tool usage * Multi-agent architectures * MCP (Model Context Protocol) servers and integrations * Agentic services and autonomous AI ...

Experience with LLMs, generative AI, NLP, retrieval-augmented generation (RAG), or prompt orchestration frameworks. * Experience designing multi-cloud application architectures and integration ...

Retrieval-Augmented Generation (RAG) * Model Context Protocol (MCP) Platform Development: * VS Code Extension Development * VS Code APIs & Chat Participant API * Language Model API integration * VSIX ...

Experience with Large Language Models (LLMs) , Generative AI , Natural Language Processing (NLP) , Retrieval-Augmented Generation (RAG) , or prompt orchestration frameworks. * Experience designing ...