1

Llm Developer Jobs in Utah (NOW HIRING)

... AI, LLM, Python, Computer Vision, data visualization tools Excellent written and verbal ... Computer Engineering, Electrical Engineering, Information Systems, IT Highly motivated, self ...

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 ...

next page

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 Jun 30, 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 is the salary of LLM developer?

The salary of an LLM developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and the complexity of projects. Skilled developers with expertise in machine learning, natural language processing, and relevant tools like Python and TensorFlow tend to earn higher salaries.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI researchers or machine learning executives, often involving advanced skills in deep learning, large language models, and extensive experience. These positions may include leadership responsibilities, require specialized certifications, and offer compensation packages that include salary, bonuses, and stock options. Such roles are usually found in top tech companies or AI-focused organizations and demand a strong track record of innovation and technical expertise.

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 in the Llm Developer position, and why are they important?

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 engineers make $500,000?

Senior machine learning engineers, including those developing large language models (LLMs), can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning, and work at top tech companies. High compensation often includes base salary, bonuses, and stock options, particularly in competitive markets or leadership roles.

What are the typical daily tasks and responsibilities of an LLM Developer?

As an LLM Developer, your daily responsibilities often include designing, fine-tuning, and evaluating large language models to meet specific application needs. You may work on tasks such as data preprocessing, model training, performance benchmarking, and error analysis, frequently collaborating with data scientists, research engineers, and product managers. Keeping up to date with the latest advancements in NLP and integrating new techniques into production models is also a key part of the role. These tasks are usually performed in a team-oriented environment where clear communication and iterative experimentation are highly valued.

What are LLM developers?

LLM developers are software engineers who design, build, and optimize large language models used in artificial intelligence applications. They typically work with machine learning frameworks, programming languages like Python, and tools such as TensorFlow or PyTorch to develop models for tasks like natural language processing and understanding.
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 job categories do people searching Llm Developer jobs in Utah look for? The top searched job categories for 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 June 2026, with employment types broken down into 69% Full Time, 5% Part Time, and 26% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $94,992 per year, or $45.7 per hour.
DevOps Platform Engineer

DevOps Platform Engineer

Booz Allen Hamilton

Hill Air Force Base, UT

$62K - $141K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 13 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants


Job description

DevOps Platform Engineer

The Opportunity:

Are you looking for an opportunity to make a difference? What if you could find a position that is tailor made for your mix of development, engineering, and communication skills? Efficient software development teams make the most of their time by limiting the activities that take developers away from writing their code. That's why we need you, an experienced DevSecOps engineer, to help us shorten the time it takes to get critical tools developed and into the hands of digital citizens and mission workers who need them to drive innovation in the nation.

As a DevSecOps engineer on our team, you'll use your development experience to streamline our software development lifecycle from requirements to monitoring in production. You'll incorporate open-source tools, automation, and cloud resources to cut down on tedious, boring tasks and free up the team's developers to do what they do best - innovate. You'll implement continuous integration and delivery to limit manual testing and troubleshooting. This is an opportunity to build your experience in modern, cloud native software development.

You'll work in a dynamic, large team environment supporting a large-scale government program, using next-gen tools, standards, and processes, including Kubernetes, GitLab CI, Ansible, CloudFormation, Terraform, Terragrunt, and Python. In this role, you'll design and develop DevOps pipeline to drive rapid delivery of functionality using CI/CD tools like GitLab, Jenkins, Ansible, or AWS CodeDeploy. You'll use state of the art diagnostic tools and monitoring systems to provide analysis on Web application errors, including the identification and investigation of application behavior through code and log analysis and business logic.

Join us. The world can't wait.

You Have:

  • 2+ years of experience in an Infrastructure, DevOps, or Site Reliability Engineer role
  • 2+ years of experience deploying containerized applications
  • 2+ years of experience with Amazon Web Services (AWS)
  • Experience with Kubernetes
  • Experience with Agile methods and practices
  • Experience with Infrastructure as Code, including Terraform, or Configuration as Code, including Ansible
  • Secret clearance
  • Bachelor's degree
  • Ability to obtain a DoD 8570 IAT Level II or IAT Level III Certification within 30 days of hiredate

Nice If You Have:

  • Experience with AI/ML/LLM implementations
  • Experience with AI/ML/LLM security such as Hidden Layer
  • Experience automating, monitoring and troubleshooting Kubernetes clusters in a production environment
  • Experience with GitOps tooling including Flux or Argo CD and Kustomize
  • Experience implementing Cloud-Native solutions to accelerate application development
  • Experience with Identity Authentication and Authorization, including Single-Sign-On, SAML, or OpenID
  • Knowledge of Linux or UNIX administration and automation
  • Bachelor's degree in CS, Computer Engineering, Mathematics, Statistics, or Engineering
  • AWS Certified Solutions Architect - Associate Certification or AWS Certified Developer - Associate Certification

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.


What Booz Allen Hamilton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Booz Allen Hamilton logo

About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914