Ai Rag Jobs in Nevada (NOW HIRING)

... RAG techniques to improve the performance of AI-driven applications. *   Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions that meet business ...

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ...

RAG-Focused AI/ML Development: * Develop and prototype RAG-based architectures, including embedding pipelines, retrieval strategies, and transformer-based generative components. * Explore and ...

You will translate research into real-world applications, building production-grade AI solutions including LLM-powered apps, agents, and RAG workflows across claims, payments, and member experience.

... RAG pipelines backed by Opensearch and other data stores; automate infra with GitHub Actions ... Compliance - Ensure every on-site AI tool meets Suffolk's information security, data governance ...

You will architect and build production-grade RAG pipelines, MCP connections, agentic AI workflows, and MLOps frameworks, managing daily operations across global delivery teams while engaging health ...

... RAG pipelines backed by Opensearch and other data stores; automate infra with GitHub Actions ... Compliance - Ensure every on-site AI tool meets Suffolk's information security, data governance ...

... RAG pipelines backed by Opensearch and other data stores; automate infra with GitHub Actions ... Compliance - Ensure every on-site AI tool meets Suffolk's information security, data governance ...

What we're looking forYou've built a retrieval/RAG system or AI agent over real documents - you understand chunking, retrieval, and keeping a model grounded so it doesn't make things up.You can take ...

You've built a retrieval/RAG system or AI agent over real documents - you understand chunking, retrieval, and keeping a model grounded so it doesn't make things up. * You can take a vague request and ...

You've built a retrieval/RAG system or AI agent over real documents - you understand chunking, retrieval, and keeping a model grounded so it doesn't make things up. * You can take a vague request and ...

Experience building RAG systems, Prompt engineering, Data processing * Knowledge on AI Best practices, Evaluation techniques and Quality control strategies. * Experience with Structured and ...

Experience with Retrieval-Augmented Generation (RAG) architectures * Experience with LangGraph * Experience with model evaluation and AI quality metrics * Secret clearance * Master's degree in AI or ...

Generative AI (diffusion models, fine-tuning, RAG) AI Engineering & MLOps * Model training, deployment, monitoring, and retraining * Feature stores, vector databases, and model registries * CI/CD ...

Generative AI (diffusion models, fine-tuning, RAG) AI Engineering & MLOps * Model training, deployment, monitoring, and retraining * Feature stores, vector databases, and model registries * CI/CD ...

Generative AI (diffusion models, fine-tuning, RAG) AI Engineering & MLOps * Model training, deployment, monitoring, and retraining * Feature stores, vector databases, and model registries * CI/CD ...

Generative AI (diffusion models, fine-tuning, RAG) AI Engineering & MLOps * Model training, deployment, monitoring, and retraining * Feature stores, vector databases, and model registries * CI/CD ...

... AI agents and copilots, retrieval‑augmented generation (RAG) and search, and AI‑enabled automation embedded directly into customer‑facing applications and enterprise workflows such as claims ...

Architect and deliver Contact Center AI solutions using GenAI patterns such as prompt engineering, retrieval-augmented generation (RAG), and agent/tool-calling, with appropriate evaluation ...

... RAG pipelines or agentic AI workflows against clinical data sources - Experience with MLOps platforms and model governance practices in regulated, PHI-handling environments - Ability to translate ...