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Llm Developer Jobs in Provo, UT (NOW HIRING)

NICE

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 ...

NICE Systems

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

NICE

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 ...

Ancestry

Machine Learning Engineer, Co-op

Lehi, UT · Remote

Experiment with new ML, LLM, and Agent technologies. Who You Are: * Currently pursuing an advanced ... Engineering or related quantitative field with a strong data focus. * Proficient in Python and ...

Amh

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 ...

NextDeavor Inc.

Product Security Engineer

Lehi, UT

$67.61 - $84.51/hr

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

WorkBay

Data & Infrastructure Engineer

Draper, UT · On-site

$107K - $128K/yr

  • PTO

Position Overview We are seeking a skilled and motivated Data & Infrastructure Engineer to own and ... Exposure to AI/LLM architecture -- understanding how large language models consume data and how to ...

NICE

Senior Software Engineer

Sandy, UT · On-site

$116K - $153K/yr

Working understanding of LLM constraints: context windows, token costs, latency, and output ... Experience contributing to shared tooling, internal platforms, or developer experience improvements ...

NICE Systems

Senior Software Engineer

Sandy, UT · On-site

$116K - $153K/yr

Working understanding of LLM constraints: context windows, token costs, latency, and output ... Experience contributing to shared tooling, internal platforms, or developer experience improvements ...

New

NICE

Senior Software Engineer

Sandy, UT · On-site

$116K - $153K/yr

Working understanding of LLM constraints: context windows, token costs, latency, and output ... Experience contributing to shared tooling, internal platforms, or developer experience improvements ...

Bread Financial

Senior Staff Agentic AI Engineer

Draper, UT · On-site +1

$99K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Master's Degree in Computer Science or related field of study. * 15+ years of experience in Software Engineering including3+ years of experience in AI/ML, Generative AI, or agentic systems (e.g., LLM ...

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Llm Developer information

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How much do llm developer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for llm developer in Provo, UT is $47.45, according to ZipRecruiter salary data. Most workers in this role earn between $37.31 and $57.55 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 popular job titles related to Llm Developer jobs in Provo, UT?

For Llm Developer jobs in Provo, UT, the most frequently searched job titles are:

What cities near Provo, UT are hiring for Llm Developer jobs?

Cities near Provo, UT with the most Llm Developer job openings:

Llm Developer jobs near you

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)

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