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Professional Llm Developer Jobs in Utah (NOW HIRING)

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 ... professional certifications and licenses, and work location. The anticipated pay range for this ...

... professional management and maintenance support, so our residents can focus on what really matters ... Leverages deep expertise in Generative AI, Agentic AI systems, LLM orchestration, and MLOps ...

At AMH, our goal is to simplify the experience of leasing a home through professional management ... Leverages deep expertise in Generative AI, Agentic AI systems, LLM orchestration, and MLOps ...

Agentic AI Engineer

Salt Lake City, UT · Hybrid

$130K - $170K/yr

... professional software engineering experience, with at least 1 year building and shipping AI/LLM-powered applications in production * Hands-on experience with AWS AI/ML services - Bedrock, Strands ...

Agentic AI Engineer

Salt Lake City, UT · Hybrid

$130K - $170K/yr

... professional software engineering experience, with at least 1 year building and shipping AI/LLM-powered applications in production * Hands-on experience with AWS AI/ML services - Bedrock, Strands ...

Agentic AI Engineer

Salt Lake City, UT · On-site

$130K - $170K/yr

... professional software engineering experience, with at least 1 year building and shipping AI/LLM-powered applications in production * Hands-on experience with AWS AI/ML services - Bedrock, Strands ...

Data & Infrastructure Engineer

Draper, UT · On-site

$107K - $128K/yr

... professional experience in data engineering, platform engineering, or a related field * Strong ... Exposure to AI/LLM architecture -- understanding how large language models consume data and how to ...

Senior Software Engineer

Sandy, UT · On-site

$116K - $153K/yr

Working understanding of LLM constraints: context windows, token costs, latency, and output ... A team that treats AI fluency as a professional standard - you won't be the only one who takes this ...

Senior Software Engineer

Sandy, UT · On-site

$116K - $153K/yr

Working understanding of LLM constraints: context windows, token costs, latency, and output ... A team that treats AI fluency as a professional standard - you won't be the only one who takes this ...

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Professional Llm Developer information

What is a professional LLM developer?

Professional LLM Developers are software engineers or specialists who design, build, and optimize applications and systems that leverage large language models (LLMs) like GPT-4, Claude, or similar AI models. Their work often involves integrating LLMs into products, fine-tuning models for specific tasks, ensuring safe and ethical AI use, and improving performance. They may also create tools and frameworks that facilitate the deployment and scaling of LLM-powered applications. Their expertise combines software development, machine learning, and natural language processing.

What are the key skills and qualifications needed to thrive as a professional LLM developer?

To thrive as a Professional LLM Developer, you need expertise in machine learning, natural language processing, and strong programming skills in languages like Python, often supported by a degree in computer science or related fields. Familiarity with deep learning frameworks (such as PyTorch or TensorFlow), experience with large language model architectures, and knowledge of cloud platforms are typically required, along with certifications like TensorFlow Developer or AWS Certified Machine Learning. Strong problem-solving abilities, teamwork, and effective communication distinguish top performers in this role. These skills ensure the development, fine-tuning, and deployment of robust LLM solutions that meet business and technical needs.

What are some common challenges faced by professional LLM developers when deploying large language models in production environments?

Professional LLM Developers often encounter challenges such as optimizing model performance to balance accuracy with computational efficiency, managing latency for real-time applications, and ensuring data privacy and security. Additionally, integrating LLMs with existing systems and maintaining model versioning can be complex. Collaboration with cross-functional teams, such as data engineers and product managers, is essential to address these challenges and ensure the successful deployment and ongoing maintenance of LLM-driven solutions.

What is the difference between Professional Llm Developer vs Machine Learning Engineer?

AspectProfessional Llm DeveloperMachine Learning Engineer
CredentialsTypically requires advanced degrees in AI, NLP, or related fields; certifications in AI/MLOften holds degrees in computer science, data science, or engineering; certifications in ML frameworks
Work EnvironmentFocuses on developing and fine-tuning large language models, often in research or specialized AI teamsDesigns, builds, and deploys ML models across various applications, in industry or tech companies
Industry UsagePrimarily in AI research, NLP, and companies developing LLM-based productsUsed across tech, finance, healthcare, and other sectors for predictive modeling and automation

While both roles involve AI and machine learning, a Professional Llm Developer specializes in large language models and NLP, whereas a Machine Learning Engineer works on a broader range of ML applications and models across industries.

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 are popular job titles related to Professional Llm Developer jobs in Utah?

For Professional Llm Developer jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Professional Llm Developer jobs in Utah look for?

The top searched job categories for Professional Llm Developer jobs in Utah are:

What cities in Utah are hiring for Professional Llm Developer jobs?

Cities in Utah with the most Professional Llm Developer job openings:

DevOps Platform Engineer

Phase2 Technology

Hill Air Force Base, UT • On-site

$62 - $141/hr

Other

Medical, Life, Retirement, PTO

Posted 8 days ago


Job description

DevOps Platform Engineer Overview

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.

Qualifications
  • 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 methodologies 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 hire
Nice to 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 Requirements

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 and Benefits

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.

Work Model
  • 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.
EEO Statement

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.

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