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Llm Developer Jobs in Utah (NOW HIRING)

AI DevOps Engineer

Sandy, UT · On-site

$50.25 - $68.75/hr

AI DevOps Engineer - Cloud AI Platforms At NICE, we are not just building software-we are ... Work on LLM integrations, Model training, PII redaction solutions,promptengineering, and ...

AI DevOps Engineer

Sandy, UT · On-site

$50.25 - $68.75/hr

AI DevOps Engineer - Cloud AI Platforms At NICE, we are not just building software-we are ... Work on LLM integrations, Model training, PII redaction solutions,promptengineering, and ...

New

AI DevOps Engineer

Sandy, UT · On-site

$50.25 - $68.75/hr

AI DevOps Engineer - Cloud AI Platforms At NICE, we are not just building software-we are ... Work on LLM integrations, Model training, PII redaction solutions,promptengineering, and ...

Senior AI Security Engineer

Salt Lake City, UT · On-site +1

$110K - $151K/yr

Collaborate on designing secure-by-default patterns for LLM integration, agentic workflows ... Engineer secure data pipelines for AI systems - implementing data loss prevention controls ...

Principal DevOps Engineer

Salt Lake City, UT

$51 - $70/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... LLM serving reliable, secure, and cost-efficient at enterprise scale. What You Will Do as a USANA Principal DevOps Engineer Architect and articulate cloud and AI platform strategies and solutions to ...

Principal DevOps Engineer

Salt Lake City, UT · On-site

$180 - $230/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... LLM serving reliable, secure, and cost-efficient at enterprise scale. What You Will Do as a USANA Principal DevOps Engineer * Architect and articulate cloud and AI platform strategies and solutions ...

Principal DevOps Engineer

West Valley City, UT · On-site

$50.75 - $69.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... LLM serving reliable, secure, and cost-efficient at enterprise scale. What You Will Do as a USANA Principal DevOps Engineer ● Architect and articulate cloud and AI platform strategies and solutions ...

Principal DevOps Engineer

Salt Lake City, UT · On-site

$50.75 - $69.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... LLM serving reliable, secure, and cost-efficient at enterprise scale. What You Will Do as a USANA Principal DevOps Engineer ● Architect and articulate cloud and AI platform strategies and solutions ...

Principal DevOps Engineer

Salt Lake City, UT · On-site

$51 - $70/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... LLM serving reliable, secure, and cost-efficient at enterprise scale. What You Will Do as a USANA Principal DevOps Engineer • Architect and articulate cloud and AI platform strategies and solutions ...

Principal DevOps Engineer

West Valley City, UT · On-site

$180 - $230/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... LLM serving reliable, secure, and cost-efficient at enterprise scale. What You Will Do as a USANA Principal DevOps Engineer * Architect and articulate cloud and AI platform strategies and solutions ...

Product Engineering Architect

Draper, UT · On-site

  • Dental

  • Vision

  • Retirement

  • PTO

The Product Engineering Architect is a strategic and hands-on technical individual responsible for ... Leverages deep expertise in Generative AI, Agentic AI systems, LLM orchestration, and MLOps ...

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Showing results 1-20

Llm Developer information

See Utah salary details

$23

$45

$72

How much do llm developer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for llm developer in Utah is $45.67, according to ZipRecruiter salary data. Most workers in this role earn between $35.87 and $55.38 per hour, depending on experience, location, and employer.

What does an LLM Developer do?

An LLM Developer designs, fine-tunes, and implements large language models (LLMs) for various applications, such as chatbots, content generation, and AI-driven tools. They work with machine learning frameworks, optimize model performance, and ensure efficient deployment. This role requires expertise in natural language processing (NLP), deep learning, and programming languages like Python.

What are the key skills and qualifications needed to thrive as an LLM Developer?

To excel as an LLM Developer, you need strong expertise in natural language processing (NLP), deep learning frameworks, and programming languages such as Python, typically supported by a degree in computer science or a related field. Familiarity with machine learning libraries (like TensorFlow or PyTorch), cloud computing platforms, and experience with prompt engineering or fine-tuning large language models is crucial. Excellent problem-solving abilities, collaboration, and effective communication skills help you design solutions and work efficiently within multidisciplinary teams. These qualifications are essential for successfully building, deploying, and optimizing large language models that drive impactful AI applications.

What is the role of a Llm developer?

A Large Language Model (LLM) developer designs, trains, and fine-tunes large-scale AI models for natural language processing tasks. They work with machine learning frameworks, handle large datasets, and optimize models for performance and accuracy, often requiring knowledge of programming languages like Python and tools such as TensorFlow or PyTorch.

What are the most commonly searched types of Llm Developer jobs in Utah?

The most popular types of Llm Developer jobs in Utah are:

What cities in Utah are hiring for Llm Developer jobs?

Cities in Utah with the most Llm Developer job openings:

Infographic showing various Llm Developer job openings in Utah as of August 2026, with employment types broken down into 80% Full Time, 6% Part Time, and 14% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $94,992 per year, or $45.7 per hour.

AI DevOps Engineer

NICE

Sandy, UT • On-site

$50.25 - $68.75/hr

Full-time

Posted 13 days ago


Job description

AI DevOps Engineer - Cloud AI Platforms

At NICE, we are not just building software-we are transforming how cloud operations are run using AI. We are building intelligent platforms that can understand system behavior, make decisions, and automate real-world operational workflows at scale. If you're excited about applying AI beyond chatbots into real production systems, this is an opportunity to work on meaningful, high-impact problems.

 

What's the role all about?

As an AI DevOps Engineer, you will be part of a team building AI-powered operational platforms that integrate across monitoring systems, CI/CD pipelines, ticketing tools, and cloud infrastructure. You will work on designing and implementing intelligent workflows, integrating AI models, and building scalable systems that automate complex operational tasks.

This is a highly hands-on role focused on building, integrating, and scaling AI-driven solutions in production environments.

 
 

How will you make an impact?

 Build and scale AI-driven workflows and automation systems
 Develop integrations with systems like monitoring platforms, ticketing tools, CI/CD pipelines, and cloud services
 Design and implement APIs, tools, and data pipelines that power AI-driven decision-making
 Work on LLM integrations, Model training, PII redaction solutions,promptengineering, and orchestration layers
 Translate real-world operational problems into automated, intelligent solutions
 Collaborate with Product, SRE, and Infrastructure teams to deliver end-to-end capabilities
 Improve system performance, reliability, and observability
 
 

Key Responsibilities

 Design and develop scalable backend systems for AI-powered platforms
 Build and maintain AI integrations, workflows, and automation pipelines
 Implement REST APIs, microservices, and event-driven architectures
 Work with both structured and unstructured data for AI use cases
 Contribute to CI/CD pipelines, testing, and deployment automation
 Troubleshoot and optimize production systems
 Collaborate with cross-functional teams to deliver high-quality solutions
 Contribute to reusable frameworks and engineering best practices
 
 

What we're looking for

 Strong experience in backend development (Typscript, C#, .NET, Python, RUST or similar)
 Experience building scalable, distributed systems in cloud environments
 Familiarity with APIs, microservices, and event-driven systems
 Exposure to AI/ML concepts, LLMs, or AI SDKs (hands-on preferred)
 Experience with AWS / Azure / GCP
 Working knowledge of CI/CD, Docker, Kubernetes
 Strong problem-solving and analytical skills
 Ability to work in a fast-paced, evolving environment
 
 

Nice to have

 Experience with LLM frameworks or prompt engineering
 Knowledge of observability tools (Grafana, Prometheus, etc.)
 Experience building automation or internal platforms
 Frontend exposure (React, JavaScript)