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Ai Rag Jobs in Nevada (NOW HIRING)

Blue Heron

Data & Software Engineer

Las Vegas, NV · On-site

$104K - $125K/yr

Prototype and deliver AI-enabled apps/workflows (e.g., copilots, RAG, intelligent search, automated insights). Requirements Essential Qualifications: * Bachelor's degree in Computer Science or a ...

CreditOne

Lead Artificial Intelligence Engineer

Las Vegas, NV · On-site

$99K - $130K/yr

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 ...

CreditOne

AVP, Artificial Intelligence

Las Vegas, NV · On-site

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

Wolters Kluwer

Senior Legal Counsel

Las Vegas, NV

$133K - $181K/yr

... RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements.

Wolters Kluwer

Senior Legal Counsel

Las Vegas, NV

$133K - $181K/yr

... RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements.

Wolters Kluwer

Senior Legal Counsel

Las Vegas, NV · On-site

$133K - $181K/yr

... RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements.

Deloitte

Lead Forward Deployed Engineer - AWS

Las Vegas, NV

$97K - $128K/yr

... AI platforms (see Platform Requirements below) * Set direction for prompt engineering, tool-use patterns, and human-in-the-loop controls * Govern end-to-end RAG pipeline design-including ingestion ...

MGM Resorts International

Lead Data Engineer

Las Vegas, NV · On-site

$121K - $162K/yr

Support AI, machine learning, Generative AI, and RAG solutions through scalable data engineering, feature engineering, and MLOps/DataOps practices. * Implement modern engineering standards, including ...

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Ai Rag information

What are the key skills and qualifications needed to thrive as an AI Researcher, and why are they important?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What are AI RAGs?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are some common challenges faced by AI RAG (Retrieval-Augmented Generation) engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.
What are popular job titles related to Ai Rag jobs in Nevada? For Ai Rag jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in Nevada look for? The top searched job categories for Ai Rag jobs in Nevada are:
What cities in Nevada are hiring for Ai Rag jobs? Cities in Nevada with the most Ai Rag job openings:
Ai Rag jobs near you
Data & Software Engineer

Data & Software Engineer

Blue Heron

Las Vegas, NV • On-site

$104K - $125K/yr

Full-time

Posted 11 days ago

Job description

Overview:
The Data & Software Engineer will be responsible for the company's data foundation end to end, including integrations, data quality, data modeling, governance enablement, and analytics delivery. This is a cross-functional role with enterprise-wide responsibility for data and serves as the subject matter expert for the standardized unified data platform. The role partners with data product owners to ensure data is entered and maintained consistently and enables teams to produce reliable, automatically updating dashboards and reports.
Responsibilities:
Data Platform Ownership
  • Design, build, operate, and maintain our Microsoft data platform: Fabric / OneLake / Power BI / Azure components as appropriate.
  • Establish automated patterns for ingestion, transformation, modeling, security, monitoring, and cost management.
  • Create and maintain semantic models that support consistent dashboarding and reporting across the business and enable teams to use them effectively.

Software Engineering & Integrations
  • Integrate data across multiple systems using APIs, files, databases, middleware/iPaaS, and approaches for systems without APIs.
  • Build and maintain reliable ingestion pipelines (batch and/or near real-time where needed).
  • Write and maintain production-quality code to support pipelines, transformations, integrations, and internal tooling.
  • Develop supporting tools/services where needed to automate workflows and improve data reliability.

Data Quality, Standards & Governance Enablement
  • Define practical data standards (definitions, naming, required fields, validation rules, ownership, etc.).
  • Partner with business stakeholders and data product owners to improve upstream data entry processes and reduce downstream cleanup.
  • Implement data validation, reconciliation, and lineage so stakeholders can trust the data.

Power BI Enablement & Reporting
  • Build (and enable others to build) core dashboards and reporting patterns in Power BI.
  • Train and guide stakeholders on dashboarding best practices, KPI definitions, and self-service reporting within guardrails.
  • Create reusable templates/standards for metrics, visuals, and report structure.

Data Strategy & Continuous Improvement
  • Serve as the subject matter expert for enterprise data.
  • Think proactively about Blue Heron's organizational data strategy - prioritizing what matters most, aligning stakeholders, and adapting as systems/processes evolve.
  • Identify opportunities to improve data quality, automation, and reporting maturity in a constantly evolving environment.

Future-State
  • Build internal applications/tools (including custom proprietary platforms for Blue Heron).
  • Prototype and deliver AI-enabled apps/workflows (e.g., copilots, RAG, intelligent search, automated insights).

Requirements
Essential Qualifications:
  • Bachelor's degree in Computer Science or a related field (or equivalent practical experience).
  • 5+ years building data platforms and analytics solutions using Microsoft technologies such as Power BI, Azure Data Factory/SSIS, Azure Synapse, and Azure Data Lake/SQL (or equivalent modern data stack experience).
  • Proven ability to build and operate automated, production-grade data pipelines and models (ELT/ETL, validation, monitoring).
  • Solid understanding of system integration, including REST APIs and approaches for systems without APIs (vendor exports, file drops, DB connections, etc.).
  • Ability to code in relevant languages for data engineering and software development (e.g., Python, SQL, C#, JavaScript/TypeScript or similar).
  • Experience improving data quality by working upstream with business teams.
  • Ability to communicate clearly with technical and non-technical stakeholders; comfortable training users and setting standards.
  • High-ownership mindset: you build it, you own it, you improve it.

Preferred Qualifications:
  • Direct experience with Microsoft Fabric (Lakehouse/Warehouse, pipelines, notebooks, semantic models, governance).
  • Application development experience (internal tools, lightweight web apps, workflows).
  • Experience using AI-assisted coding tools productively (accelerating delivery while maintaining code quality).
  • AI app building experience (Azure OpenAI, copilots, RAG patterns, orchestration, etc.).
  • Experience in construction/homebuilding or project-based services data.

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