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Llm Engineer Jobs in Utah (NOW HIRING)

AI DevOps Engineer

Sandy, UT

$50.25 - $68.75/hr

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

New

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 ...

We seek passionate, innovative engineers eager to transform the daily lives of millions through ... Own golden datasets, regression suites, offline and online evals, and LLM-as-judge governance.

Agentic AI Engineer

Salt Lake City, UT · Hybrid

$130K - $170K/yr

Experience designing and evaluating LLM pipelines including prompt engineering, output validation, and hallucination mitigation * Familiarity with AI observability, evaluation frameworks, and ...

Product Security Engineer

Lehi, UT · On-site

$67.61 - $84.51/hr

Product Security Engineer Full-time Lehi, UT You'll be joining Adobe on a contract opportunity ... Familiarity with attacker techniques against LLM systems and generative AI products. * Knowledge of ...

... Engineer, Capture & Intelligence Platform Role Summary Nuclei is looking for a Staff Software ... Contribute to AI-native product surfaces including LLM classification, agent runs, investigator ...

AI DevOps Engineer

Sandy, UT · On-site

$50.25 - $68.75/hr

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

As an AI Software Engineer I at ASI, you are responsible for supporting the development of internal ... Apply modern AI development frameworks, large language model (LLM) APIs, and integration patterns ...

AI Software Engineer I

Logan, UT · On-site

$68K - $117K/yr

As an AI Software Engineer I at ASI, you are responsible for supporting the development of internal ... Apply modern AI development frameworks, large language model (LLM) APIs, and integration patterns ...

Agentic AI Engineer

Salt Lake City, UT · Hybrid

$130K - $170K/yr

Experience designing and evaluating LLM pipelines including prompt engineering, output validation, and hallucination mitigation * Familiarity with AI observability, evaluation frameworks, and ...

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ...

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ...

Agentic AI Engineer

Salt Lake City, UT · On-site

$130K - $170K/yr

Experience designing and evaluating LLM pipelines including prompt engineering, output validation, and hallucination mitigation * Familiarity with AI observability, evaluation frameworks, and ...

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ...

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Llm Engineer information

See Utah salary details

$23

$48

$69

How much do llm engineer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for llm engineer in Utah is $48.82, according to ZipRecruiter salary data. Most workers in this role earn between $39.38 and $56.68 per hour, depending on experience, location, and employer.

What does an LLM engineer do?

An LLM Engineer designs, develops, and optimizes applications that leverage large language models (LLMs). They fine-tune models, integrate them into products, and improve performance through prompt engineering and model customization. This role requires expertise in machine learning, natural language processing (NLP), and software development. LLM Engineers work closely with data scientists and developers to create AI-driven solutions for various applications such as chatbots, content generation, and code assistance.

How much do Llm engineers make?

Llm engineers typically earn between $100,000 and $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in machine learning and natural language processing can command higher salaries, often exceeding $200,000 with bonuses and stock options.

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

To thrive as an LLM Engineer, you need strong expertise in machine learning, natural language processing, and proficiency with Python, along with a solid understanding of transformer-based models and deep learning frameworks like PyTorch or TensorFlow. Familiarity with cloud platforms, version control systems (e.g., Git), and tools such as Hugging Face Transformers is typically required, and certifications in AI or data science can be advantageous. Excellent problem-solving, collaboration, and communication skills help you work effectively with interdisciplinary teams and present complex findings clearly. These skills enable you to develop, fine-tune, and deploy large language models efficiently in real-world applications.

What are the most commonly searched types of Llm Engineer jobs in Utah? The most popular types of Llm Engineer jobs in Utah are:
What are popular job titles related to Llm Engineer jobs in Utah? For Llm Engineer jobs in Utah, the most frequently searched job titles are:
Infographic showing various Llm Engineer job openings in Utah as of August 2026, with employment types broken down into 74% Full Time, 12% Part Time, and 14% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $101,554 per year, or $48.8 per hour.

$50.25 - $68.75/hr

Full-time

Posted 3 days ago

New


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)