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Ai Coder Jobs in Utah (NOW HIRING)

Bolo AI

  • PTO

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 ...

Broccoli AI

AI Tech Support

Lehi, UT · On-site

$70K - $100K/yr

Our AI teammates answer phones, book appointments, follow up with customers, recover missed revenue ... Before we wrote a single line of code, we visited more than 140 contractors to understand how these ...

Enterprise Technology Operations

AI Engineer

Midvale, UT · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Visa Sponsorship: This AI Engineer position is currently not eligible for employment visa ... Participate in code reviews, ensuring code quality, security, and testability across the team.

Zions Bank

AI Engineer

Midvale, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Visa Sponsorship: This AI Engineer position is currently not eligible for employment visa ... Participate in code reviews, ensuring code quality, security, and testability across the team.

Zions Bancorporation

AI Engineer

Midvale, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Visa Sponsorship: This AI Engineer position is currently not eligible for employment visa ... Participate in code reviews, ensuring code quality, security, and testability across the team.

Zions Bancorporation, N.A.

AI Engineer

Midvale, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Visa Sponsorship: This AI Engineer position is currently not eligible for employment visa ... Participate in code reviews, ensuring code quality, security, and testability across the team.

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 ...

Taxbit

Agentic AI Engineer

Salt Lake City, UT · Hybrid

$130K - $170K/yr

  • Retirement

Write well-designed, well-tested, and maintainable code; participate in code reviews to maintain quality and distribute AI/ML knowledge across the team * Instrument and monitor agentic systems in ...

Applause

AI Solutions Engineer

Salt Lake City, UT · Remote

  • Medical

  • Life

  • PTO

Able to write and modify code for simple, internal business applications (even if AI writes most of it)-production-grade or engineering-quality code is not required * Programming Languages

Applause

AI Solutions Engineer

Salt Lake City, UT · On-site +1

  • Medical

  • Life

  • PTO

Able to write and modify code for simple, internal business applications (even if AI writes most of it)-production-grade or engineering-quality code is not required * Programming Languages

NICE Systems

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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Ai Coder information

See Utah salary details

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How much do ai coder jobs pay per hour?

As of Aug 18, 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.

What is an AI coder?

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.

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 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 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.

How do you become an AI coder?

To become an AI coder, you typically need a strong foundation in programming languages such as Python or Java, along with knowledge of machine learning frameworks like TensorFlow or PyTorch. Earning a degree in computer science, data science, or a related field and gaining experience through projects or internships are common steps. Developing skills in algorithms, data structures, and mathematics is also essential for working effectively in AI development.

How much do AI coders make?

AI coders, also known as artificial intelligence programmers, typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, especially in tech hubs or large companies.

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 August 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $52,057 per year, or $25 per hour.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Provo, UT • Remote

$80 - $110/hr

Part-time

Posted 15 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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