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Python Llm Jobs in Utah (NOW HIRING)

Agentic AI Engineer

Salt Lake City, UT · Hybrid

$130K - $170K/yr

Experience designing and evaluating LLM pipelines including prompt engineering, output validation ... Strong coding skills in Python and/or TypeScript; comfort working across the stack as needed

Senior Data Scientist

Lehi, UT · On-site

$133K - $213K/yr

Strong proficiency in Python and common machine learning frameworks. * Experience designing ... Experience building LLM evaluation frameworks, benchmark suites, or automated quality measurement ...

Senior Data Scientist

Lehi, UT · On-site +1

$133K - $213K/yr

Strong proficiency in Python and common machine learning frameworks. * Experience designing ... Experience building LLM evaluation frameworks, benchmark suites, or automated quality measurement ...

Senior Data Scientist

Lehi, UT · On-site +1

$133K - $213K/yr

Strong proficiency in Python and common machine learning frameworks. * Experience designing ... Experience building LLM evaluation frameworks, benchmark suites, or automated quality measurement ...

Agentic AI Engineer

Salt Lake City, UT · On-site

$130K - $170K/yr

Experience designing and evaluating LLM pipelines including prompt engineering, output validation ... Strong coding skills in Python and/or TypeScript; comfort working across the stack as needed

Sr. Applied AI Engineer

Salt Lake City, UT

$101K - $138K/yr

Python / FastAPI microservices * LangChain / LangGraph * GraphQL / REST * PostgreSQL / Redis ... Designed LLM strategies covering tool calling, structured outputs, prompt engineering, and context ...

Sr. Applied AI Engineer

Salt Lake City, UT · On-site

$101K - $138K/yr

Python / FastAPI microservices * LangChain / LangGraph * GraphQL / REST * PostgreSQL / Redis ... Designed LLM strategies covering tool calling, structured outputs, prompt engineering, and context ...

Senior GTM Engineer

Lehi, UT · On-site

$150 - $200/hr

This role suits a builder-leader who's equally comfortable writing SQL and Python as they are ... You've built or evaluated agentic frameworks and applied LLM evaluation at scale. * You have ...

Systems Analyst II

Salt Lake City, UT · Hybrid

$126K - $145K/yr

Integrate AI and LLM-based capabilities into existing tools and workflows to drive automation and ... Working proficiency in JavaScript, Python, SQL, and APIs, with the ability to build and ship ...

Senior SDET

Lehi, UT · On-site

$125 - $150/hr

Contribute to testing strategy for AI powered features, including validating LLM based and agentic ... Strong programming skills in at least one language commonly used for test automation (Python, Java ...

Senior SDET

Lehi, UT · On-site

$125 - $150/hr

Contribute to testing strategy for AI powered features, including validating LLM based and agentic ... Strong programming skills in at least one language commonly used for test automation (Python, Java ...

Showing results 41-60

Python Llm information

What is a Python LLM?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

What are the key skills and qualifications needed to thrive in the Python LLM position, and why are they important?

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

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

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

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

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

What cities in Utah are hiring for Python Llm jobs?

Cities in Utah with the most Python Llm job openings:

Infographic showing various Python Llm job openings in Utah as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution.

DevOps Platform Engineer

Hill Air Force Base, UT • On-site

Phase2 Technology
Software Development • 51 - 200 employees

$100 - $125/hr

Other

Medical, Life, Retirement, PTO

Posted 21 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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