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Prompt Engineer Jobs in Utah (NOW HIRING)

Atonom

AI Data Engineer

Provo, UT · On-site

$50K - $90K/yr

Interested in LLMs and prompt engineering. You don't need to be an expert, but you've explored how AI models work beyond surface-level usage. * A clear communicator who can walk non-technical ...

Atonom

AI Data Engineer

Provo, UT · On-site

Interested in LLMs and prompt engineering. You don't need to be an expert, but you've explored how AI models work beyond surface-level usage. * A clear communicator who can walk non-technical ...

Atonom

AI Data Engineer

Provo, UT

$109K - $131K/yr

Interested in LLMs and prompt engineering. You don't need to be an expert, but you've explored how AI models work beyond surface-level usage. * A clear communicator who can walk non-technical ...

System One

AI Engineer

Salt Lake City, UT · On-site

... prompt engineering o RAG architectures and vector databases o MLOps practices • Experience with Docker, Kubernetes, and CI/CD pipelines • Understanding of microservices architecture and API ...

System One

AI Engineer

Salt Lake City, UT · On-site

... prompt engineering o RAG architectures and vector databases o MLOps practices • Experience with Docker, Kubernetes, and CI/CD pipelines • Understanding of microservices architecture and API ...

System One

AI Engineer

Salt Lake City, UT · On-site

... prompt engineering o RAG architectures and vector databases o MLOps practices • Experience with Docker, Kubernetes, and CI/CD pipelines • Understanding of microservices architecture and API ...

Atonom

Data Engineer

Provo, UT · On-site

Interested in LLMs and prompt engineering. You don't need to be an expert, but you understand the basics of how AI models consume and produce data. * A clear communicator who can explain data ...

Atonom

Data Engineer

Provo, UT · On-site

$50K - $90K/yr

Interested in LLMs and prompt engineering. You don't need to be an expert, but you understand the basics of how AI models consume and produce data. * A clear communicator who can explain data ...

Taxbit

Agentic AI Engineer

Salt Lake City, UT · Hybrid

$130K - $170K/yr

Own the full lifecycle of AI features - from prompt engineering and agent design through evaluation, deployment, and monitoring * Write well-designed, well-tested, and maintainable code; participate ...

Atonom

Data Engineer

Provo, UT

$109K - $131K/yr

Interested in LLMs and prompt engineering. You don't need to be an expert, but you understand the basics of how AI models consume and produce data. * A clear communicator who can explain data ...

InfiCare

Java Engineer

Salt Lake City, UT · On-site

$50 - $68.75/hr

LangChain, Prompt Engineering, Semantic Search 5. API Strategy & Enterprise Integration Strong understanding of API-first architecture and enterprise integration patterns Ability to design secure ...

Inficare Technologies

Java Engineer

Salt Lake City, UT · On-site

$50 - $68.75/hr

LangChain, Prompt Engineering, Semantic Search X. API Strategy & Enterprise Integration Strong understanding of API-first architecture and enterprise integration patterns Ability to design secure ...

Taxbit

Agentic AI Engineer

Salt Lake City, UT · On-site

$130K - $170K/yr

Own the full lifecycle of AI features - from prompt engineering and agent design through evaluation, deployment, and monitoring * Write well-designed, well-tested, and maintainable code; participate ...

TaxBit

Agentic AI Engineer

Salt Lake City, UT · Hybrid

$130K - $170K/yr

Own the full lifecycle of AI features - from prompt engineering and agent design through evaluation, deployment, and monitoring * Write well-designed, well-tested, and maintainable code; participate ...

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Prompt Engineer information

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How much do prompt engineer jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for prompt engineer in Utah is $42.87, according to ZipRecruiter salary data. Most workers in this role earn between $32.60 and $55.38 per hour, depending on experience, location, and employer.

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

To thrive as a Prompt Engineer, you need a strong grasp of natural language processing (NLP), machine learning concepts, and experience crafting effective prompts for large language models, usually supported by a technical degree or relevant experience. Familiarity with tools such as OpenAI's API, Hugging Face, or other AI platforms, as well as knowledge of programming languages like Python, is highly valuable. Creative thinking, analytical problem-solving, and cross-functional communication skills help differentiate top candidates in this field. These abilities are crucial for optimizing AI outcomes and ensuring collaboration with both technical and non-technical teams.

What does a typical day look like for a Prompt Engineer?

A typical day for a Prompt Engineer involves designing, testing, and refining prompts to enhance the performance of AI language models, often collaborating closely with data scientists, software engineers, and product managers. You might analyze the results of model outputs, integrate user or stakeholder feedback, and iterate on prompt strategies to solve diverse business challenges. Your role will usually include documentation, troubleshooting, and keeping up with the latest advances in AI technologies. Expect a mix of independent work and regular team meetings in a dynamic, fast-evolving environment focused on innovation and improvement.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like AI, machine learning, or at major tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, specialized skills, and often leadership roles or equity compensation.

What is a Prompt Engineer job?

A Prompt Engineer is a professional who designs, refines, and optimizes prompts to improve interactions with AI models, such as ChatGPT. Their role involves understanding model behavior, crafting precise queries, and experimenting with phrasing to achieve desired outputs. They may work in AI research, software development, or content generation to maximize AI efficiency. Strong skills in language, logic, and sometimes coding are essential for success in this role.

Is prompt engineer still a thing?

Prompt engineering is an emerging role focused on designing effective prompts for AI language models. It is increasingly in demand as organizations seek to optimize AI interactions, often requiring skills in natural language processing and familiarity with tools like GPT. The role continues to grow alongside advancements in AI technology.

What exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant outputs. The role requires understanding of AI systems, natural language processing, and often involves testing and refining prompts to improve model performance. Skills in programming, data analysis, and familiarity with AI tools are commonly needed.

Is prompt engineer salary?

Prompt engineers typically earn salaries comparable to other AI and machine learning specialists, with average annual pay ranging from $80,000 to $150,000 depending on experience, location, and industry. Skills in natural language processing, prompt design, and familiarity with AI tools like GPT are highly valued and can influence compensation.
What are the most commonly searched types of Prompt Engineer jobs in Utah? The most popular types of Prompt Engineer jobs in Utah are:
What are popular job titles related to Prompt Engineer jobs in Utah? For Prompt Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Prompt Engineer jobs in Utah look for? The top searched job categories for Prompt Engineer jobs in Utah are:
What cities in Utah are hiring for Prompt Engineer jobs? Cities in Utah with the most Prompt Engineer job openings:
Prompt Engineer jobs near you
Infographic showing various Prompt Engineer job openings in Utah as of July 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 100% In-person job distribution, with an average salary of $89,161 per year, or $42.9 per hour.

Software Engineer - AI

Lightspeed DMS

South Jordan, UT

Other

Posted 7 days ago

Job description

We are an innovative and collaborative team looking to be at the forefront of AI-powered software development. We're seeking Software Engineers - AI who are passionate about leveraging artificial intelligence to accelerate development, enhance code quality, and solve complex technical challenges. This role requires professionals who embrace AI-assisted coding workflows, prompt engineering, and modern development practices while maintaining excellence in traditional software engineering fundamentals. Ideal candidates thrive in fast-paced environments and are excited about the intersection of AI and software development.

What you'll do:
  • Leverage AI coding assistants (Claude, GitHub Copilot, or similar) to accelerate development, refactoring, and code review processes
  • Collaborate in Agile teams to refine requirements, estimate tasks, and contribute to sprint activities with AI-enhanced productivity
  • Design and implement software solutions using object-oriented principles, ensuring reusability, scalability, and maintainability
  • Develop clean, efficient, well-documented code with AI assistance while maintaining high standards of code ownership and understanding
  • Utilize AI tools for automated testing, test case generation, and maintaining comprehensive unit test coverage
  • Participate in AI-assisted code reviews, focusing on architecture decisions, logic validation, and security considerations
  • Work closely with business, product management, QA, and hosting teams to facilitate smooth rollouts across AWS environments (development, staging, production)
  • Manage and optimize CI/CD pipelines with AI-enhanced automation for build, test, and deployment processes
  • Apply prompt engineering techniques to maximize effectiveness of AI coding tools for your specific development tasks
  • Use team tools including Jira, GitLab, SwaggerHub, Bruno, and AI platforms for project tracking, version control, API documentation, and testing
  • Maintain comprehensive documentation in Confluence, leveraging AI to keep resources current and accessible
  • Contribute to team knowledge sharing on AI tool best practices, effective prompts, and AI-assisted development workflows
What you should have:

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or related field with 3-5 years of development experience, including 1+ years of agentic AI development experience; or equivalent experience in lieu of a degree
  • Proficiency in Python and Java (3-5 years each), with hands-on experience in AWS cloud environments
  • Demonstrated experience using agentic coding tools (Claude Code, GitHub Copilot, Cursor, or similar), including the ability to critically evaluate, validate, and debug AI-generated code
  • Strong computer science fundamentals, including data structures, algorithms, object-oriented design, and software architecture principles
  • Proven experience with Agile and Scrum methodologies in fast-paced development environments
  • Experience developing and integrating RESTful APIs with proficiency in SQL and relational databases
  • Understanding of distributed systems and microservices architecture
  • Working knowledge of Linux/Unix operating systems and command-line tools
  • Strong communication and collaboration skills, with a growth mindset and ability to prioritize effectively in a fast-paced environment

Preferred Qualifications:

  • Experience with prompt engineering and optimizing AI tool outputs for software development tasks
  • Familiarity with test-driven development (TDD) and achieving high code coverage standards, including AI-generated test cases
  • Knowledge of AI model capabilities, limitations, and best practices for AI-assisted development
  • Experience integrating front-end and back-end systems with modern architectural patterns
  • Proficiency with modern databases (PostgreSQL preferred) and microservices architecture
  • Knowledge of containerization and orchestration technologies (Docker, Kubernetes)
  • Experience with infrastructure as code (Terraform) and DevOps practices
  • Understanding of code quality tools, static analysis, and automated security scanning
  • Contributions to open-source projects or technical blog posts demonstrating AI-assisted development expertise

Apply