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Ai Coder Jobs in Utah (NOW HIRING)

Lightspeed DMS

Software Engineer - AI

South Jordan, UT · On-site

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 ...

Lightspeed DMS

Software Engineer - AI

South Jordan, UT · On-site

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 ...

NICE

Senior AI Software Engineer

Sandy, UT · On-site

$116K - $153K/yr

Use AI coding tools and Agentic AI Workflows actively in your day-to-day work - for code generation, review, testing, debugging, and documentation * Write clean, well-structured, Code and/or ...

Varsity Tutors

Vibe Coding Tutor

Cedar City, UT · Remote

$18 - $40/hr

... Vibe Coding tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Vibe Coding Tutor

Spanish Fork, UT · Remote

$18 - $40/hr

... Vibe Coding tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Vibe Coding Tutor

Provo, UT · Remote

$18 - $40/hr

... Vibe Coding tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Vibe Coding Tutor

Logan, UT · Remote

$18 - $40/hr

... Vibe Coding tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Bolo AI

The code is a generated artifact. The spec, the harness, and the validation infrastructure are what engineers maintain. This is how we work at Bolo.ai. We're hiring engineers who already work this ...

NICE

Senior Software Engineer

Sandy, UT · On-site

$116K - $153K/yr

Use AI coding tools and Agentic AI Workflows actively in your day-to-day work - for code generation, review, testing, debugging, and documentation * Write clean, well-structured, Code and/or ...

Henry Day Ford

AI Platform Operator

Salt Lake City, UT · On-site

$18.25 - $22/hr

It is built for someone who is fluent in no-code / low-code automation platforms, operationally sharp, and genuinely energized by getting AI systems to run reliably at scale. The AI Platform Operator ...

Ken Garff Auto Group

AI Platform Operator

Salt Lake City, UT · On-site

$18.25 - $22/hr

It is built for someone who is fluent in no-code / low-code automation platforms, operationally sharp, and genuinely energized by getting AI systems to run reliably at scale. The AI Platform Operator ...

NICE

Senior Software Engineer

Sandy, UT · On-site

$116K - $153K/yr

Use AI coding tools and Agentic AI Workflows actively in your day-to-day work - for code generation, review, testing, debugging, and documentation * Write clean, well-structured, Code and/or ...

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All JobsAi Coder JobsAi Coder Jobs in Utah

Ai Coder information

See Utah salary details

$14

$25

$39

How much do ai coder jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for ai coder in Utah is $25.03, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $31.49 per hour, depending on experience, location, and employer.

How do I become an AI coder?

To become an AI coder, you should develop strong programming skills in languages like Python, learn machine learning frameworks such as TensorFlow or PyTorch, and gain knowledge of algorithms and data structures. Pursuing a degree in computer science, data science, or related fields and working on AI projects or certifications can also enhance your qualifications.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior AI engineer, machine learning director, or AI research scientist, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized research organizations.

What types of projects do AI Coders typically work on, and how does project collaboration usually happen?

AI Coders are often involved in developing machine learning models, creating data pipelines, and integrating AI solutions into existing products. Collaboration is a key part of the role, with AI Coders working closely with data scientists, software engineers, and product managers to translate business needs into technical solutions. Most teams use agile methodologies, daily stand-ups, and collaborative platforms like GitHub or Jira to coordinate tasks and track progress. This structure ensures that AI Coders receive frequent feedback and can contribute ideas throughout the development cycle.

What are AI Coders?

AI Coders are professionals who develop, implement, and maintain artificial intelligence (AI) systems and applications. They use programming languages such as Python, Java, and R to write code that enables machines to perform tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. AI Coders often work with machine learning models, neural networks, and large datasets to create intelligent solutions for various industries. Their work can range from building chatbots and recommendation systems to designing complex algorithms for automation.

Are AI coders in demand?

AI coders are in high demand due to the growing adoption of artificial intelligence across industries. Skills in machine learning, deep learning, and programming languages like Python are particularly valuable, and job opportunities are expected to increase as AI technology advances.

How much do AI coders make?

AI coders, also known as artificial intelligence software developers, typically earn between $80,000 and $150,000 annually, depending on experience, location, and skill level. Senior AI developers with specialized skills in machine learning and deep learning can earn higher salaries, especially in tech hubs or companies with advanced AI projects.

What is the difference between Ai Coder vs Data Scientist?

AspectAi CoderData Scientist
Required CredentialsProgramming skills, knowledge of AI frameworks, certifications in AI/MLStatistics, programming, data analysis certifications
Work EnvironmentSoftware development teams, AI research labsData analysis teams, research environments
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and algorithms, Ai Coders primarily focus on developing AI models and coding AI solutions, whereas Data Scientists analyze data to extract insights and inform business decisions. Ai Coders are more involved in software development, while Data Scientists emphasize statistical analysis and data interpretation.

What are the key skills and qualifications needed to thrive as an AI Coder, and why are they important?

To thrive as an AI Coder, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, as well as experience with version control systems such as Git, is essential. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with teams and explain complex solutions. These skills and qualities are crucial for developing, optimizing, and maintaining reliable AI models that address real-world challenges.
What are popular job titles related to Ai Coder jobs in Utah? For Ai Coder jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Ai Coder jobs in Utah look for? The top searched job categories for Ai Coder jobs in Utah are:
What cities in Utah are hiring for Ai Coder jobs? Cities in Utah with the most Ai Coder job openings:
Ai Coder jobs near you
Infographic showing various Ai Coder job openings in Utah as of July 2026, with employment types broken down into 70% Full Time, 21% Part Time, and 9% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution, with an average salary of $52,057 per year, or $25 per hour.

Software Engineer - AI

Lightspeed DMS

South Jordan, UT

Other

Posted 12 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

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