Entrylevel Retrieval Augmented Generation Jobs in Texas

Familiarity with Generative AI and Machine Learning including Retrieval Augmented Generation. Ability to work and deliver independently with minimal guidance. Good communication skills"

... Retrieval-Augmented Generation (RAG) frameworks to enhance knowledge retrieval and response accuracy. • Manage and optimize vector databases (e.g., Pinecone, Weaviate) for semantic search and ...

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

Support the development and implementation of AI-enabled solutions utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) platforms, and related technologies. * Partner with ...

Support the development and implementation of AI-enabled solutions utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) platforms, and related technologies. * Partner with ...

Familiarity with retrieval-augmented generation (RAG) and prompt engineering. * Strong problem-solving skills and ability to work in fast-paced AI environments. Preferred: * Experience with open ...

Build and integrate solutions using Large Language Models (OpenAI, Gemini, Claude, Llama, etc.). * Assist in developing Retrieval-Augmented Generation (RAG) pipelines and AI agents. * Write clean ...

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 ...

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

Design and implement retrieval-augmented generation pipelines using embeddings and vector databases. * Develop agentic AI workflows capable of multi-step reasoning, tool usage, and task automation.

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

Build, optimize, and maintain Retrieval-Augmented Generation (RAG) pipelines to improve response quality and domain-specific knowledge retrieval. * Conduct model evaluation, prompt engineering, and ...

Build, optimize, and maintain Retrieval-Augmented Generation (RAG) pipelines to improve response quality and domain-specific knowledge retrieval. * Conduct model evaluation, prompt engineering, and ...

Develop and optimize Retrieval-Augmented Generation (RAG) systems * Build AI agents, workflow automation solutions, and intelligent assistants * Integrate LLMs such as OpenAI, Claude, Gemini, and ...

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

Experience with large language models (LLMs), including retrieval-augmented generation, prompt engineering, agentic workflows, or fine-tuning * Familiarity with Linux/HPC environments and version ...

Experience with large language models (LLMs), including retrieval-augmented generation, prompt engineering, agentic workflows, or fine-tuning * Familiarity with Linux/HPC environments and version ...

Experience implementing retrieval-augmented generation, embeddings, vector search, reranking, knowledge graphs, Model Context Protocol, Agent-to-Agent communication, or structured tool-calling ...

Experience implementing retrieval-augmented generation, embeddings, vector search, reranking, knowledge graphs, Model Context Protocol, Agent-to-Agent communication, or structured tool-calling ...

Experience with large language models (LLMs), including retrieval-augmented generation, prompt engineering, agentic workflows, or fine-tuning * Familiarity with Linux/HPC environments and version ...