Rag Developer Jobs in Texas (NOW HIRING)

AI Agent Engineer Designs and develops AI-driven agentic solutions, including autonomous workflows and Retrieval-Augmented Generation (RAG) systems, to enhance productivity, automate processes, and ...

Implement AI integration patterns such as retrievalaugmented generation (RAG), tool/function ... Use Azure DevOps and GitHub for source control, pull requests, code reviews, branching strategies ...

Implement AI integration patterns such as retrievalaugmented generation (RAG), tool/function ... Use Azure DevOps and GitHub for source control, pull requests, code reviews, branching strategies ...

... RAG), classical machine learning, and modern cloud architectures to drive efficiency, quality, and ... advanced engineering and high-impact legal work. • AI Solution Architecture & Development ...

Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for Large Language Models (LLMs ... Collaborate with AI engineers to integrate Agentic AI systems (e.g., AI agents, LLM orchestration ...

Strong Full Stack Engineering experience * Backend development in C#, .NET, or similar (less ... RAG patterns or chatbot development * Understanding of Azure ecosystem basics (especially pipelines ...

Generative AI & RAG: Design and deploy sophisticated RAG pipelines. Orchestrate LLM-as-a-Service (e ... engineering teams. * Strategic Communication: Translate high-level business requirements into ...

... RAG) pipelines for Large Language Models (LLMs) to provide contextually relevant and accurate ... engineers to integrate Agentic AI systems (e.g., AI agents, LLM orchestration frameworks like ...

As a Software Engineer, you will be responsible for delivering high quality solutions that meet ... Develop reusable foundational components, such as prompt frameworks and reusable templates, RAG ...

This is a hands-on full-stack engineering role that combines client-facing solutioning, Agentic AI ... Build RAG pipelines including document ingestion, chunking, embeddings, vector search, retrieval ...

You will work with foundation models, create robust prompting and RAG pipelines, integrate agentic ... Prompt Engineering * Develop reliable, optimized prompts for various generative AI use cases.

RAG Architectures & AI Agents * Cloud AI Deployment * Data Engineering Fundamentals Key ResponsibilitiesAI Development & Engineering (70%) * Design, develop, and deploy scalable AI/ML solutions ...

The Python Developer will play a critical role in building and enhancing our Agentic AI platform ... RAG Implementation: Develop and maintain Retrieval-Augmented Generation (RAG) solutions leveraging ...

You will work with state-of-the-art foundation models, RAG architectures, and multi-agent systems while partnering closely with product, design, and engineering teams. You will be responsible for ...

You will work with state-of-the-art foundation models, RAG architectures, and multi-agent systems while partnering closely with product, design, and engineering teams. You will be responsible for ...

You will work with state-of-the-art foundation models, RAG architectures, and multi-agent systems while partnering closely with product, design, and engineering teams. You will be responsible for ...

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

You will work with foundation models, create robust prompting and RAG pipelines, integrate agentic ... Prompt Engineering * Develop reliable, optimized prompts for various generative AI use cases.

The Python Developer will play a critical role in building and enhancing our Agentic AI platform ... RAG Implementation: Develop and maintain Retrieval-Augmented Generation (RAG) solutions leveraging ...

Builds retrieval-augmented generation (RAG) pipelines - document ingestion, chunking, embeddings ... NET and SQL engineering teams responsible for backend services and data-layer integration with AI ...