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Rag Engineer Jobs in Nevada (NOW HIRING)

Hands-on GenAI/LLM application engineering: agents, tool and function calling, RAG architectures ... embeddings, vector search, and prompt engineering. * Proven experience building GenAI solutions and ...

Sr AI/ML Engineer

Sparks, NV

$106K - $146K/yr

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... RAG-Focused AI/ML Development: * Develop and prototype RAG-based architectures, including embedding ...

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 ...

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 ...

You've built a retrieval/RAG system or AI agent over real documents - you understand chunking ... AI engineering career and eager to grow into our team's AI expert. It's probably not a fit if.

You've built a retrieval/RAG system or AI agent over real documents - you understand chunking ... AI engineering career and eager to grow into our team's AI expert. It's probably not a fit if.

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Showing results 1-20

Rag Engineer information

See Nevada salary details

$60.6K

$92.2K

$156.3K

How much do rag engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for rag engineer in Nevada is $92,168.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $106,900.00 per year, depending on experience, location, and employer.

What does a RAG engineer do?

A RAG engineer specializes in managing and analyzing Red, Amber, and Green (RAG) status indicators to monitor project or system performance. They often work with data visualization tools and reporting systems to identify issues and support decision-making in technical or operational environments.

What is the difference between Rag Engineer vs Textile Technician?

AspectRag EngineerTextile Technician
Required CredentialsEngineering degree, technical certificationsDiploma or degree in textiles or related field
Work EnvironmentFactories, manufacturing plants, R&D labsTextile mills, production facilities, quality control labs
Industry UsageDesigning and improving rag production processesMonitoring textile quality, testing fabrics

While both roles involve working within the textile industry, a Rag Engineer primarily focuses on the engineering aspects of rag production, process optimization, and machinery, whereas a Textile Technician concentrates on fabric testing, quality control, and ensuring textile standards are met. The roles often overlap in industry settings but differ in technical focus and responsibilities.

Which 3 jobs will survive AI?

For a Rag Engineer, roles that require complex manual dexterity, problem-solving in unpredictable environments, or specialized craftsmanship are less likely to be automated by AI. These include skilled trades such as welding, electrical work, and mechanical repair, which depend on hands-on expertise and adaptability. Continuous learning and certification in specialized tools or techniques help ensure job security in evolving technological landscapes.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles may involve leading projects, developing innovative algorithms, and working with large datasets, usually in a corporate or research environment. Compensation at this level reflects significant expertise, experience, and responsibility in the AI field.

What engineers make $500,000?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering can earn $500,000 or more annually, especially with experience, advanced skills, and leadership roles. High compensation often involves working in high-demand industries, holding advanced certifications, or taking on executive-level responsibilities.
What are popular job titles related to Rag Engineer jobs in Nevada? For Rag Engineer jobs in Nevada, the most frequently searched job titles are:
What cities in Nevada are hiring for Rag Engineer jobs? Cities in Nevada with the most Rag Engineer job openings:
Infographic showing various Rag Engineer job openings in Nevada as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $92,168 per year, or $44.3 per hour.

AI/ML Architect - Las Vegas, NV - Long term contract opportunity

Zodiac Solutions

Las Vegas, NV • On-site

Contractor

Re-posted 22 days ago


Job description

Position:-  AI/ML Architect

Location:- Las Vegas, NV ( 3 days hybrid in week)

Duration: Long term contract opportunity

Required Exp: 15+ years

Job Description:

Responsibilities: 
•  Design, develop, and implement Generative AI models leveraging 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 objectives.
•  Optimize and fine-tune existing AI models for enhanced accuracy and efficiency.
•  Conduct experiments and analyze results to iterate on model architecture and training strategies.
•  Stay updated with the latest advancements in AI, machine learning, and RAG methodologies to drive innovation within the team.

Requirements: 
•  Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
•  Proven experience in developing Generative AI models, with a strong understanding of RAG programming techniques.
•  Proficiency in programming languages such as Python, Java, or similar.
•  Hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers).
•  Strong understanding of natural language processing (NLP) concepts and techniques.
•  Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) is a plus.
•  Experience with generative AI platforms (e.g., Kore.ai, lightningai, evidentlyai etc.,) is a plus
 
Thanks,
Sanjay Kumar
sanjay.kumar@zodiac-solutions.com