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Remote Generative Ai Engineer Jobs in Sandy, UT (NOW HIRING)

Suralink Inc

Principal Engineer

Salt Lake City, UT · Remote

As the leading AI platform for accounting firms, Suralink serves more than 50% of the top 100 ... Recognized for growth, innovation, and culture, we foster a highly collaborative, remote-first ...

Inside Real Estate

Senior Software Engineer

Murray, UT · On-site +1

$115K - $151K/yr

Use AI coding tools as a core part of your daily workflow - accelerating implementation while ... Potential to work in a remote setting; * Exciting/energetic work environment and fun, creative ...

Deloitte

Epic Denials Management Operator

Salt Lake City, UT · Remote

$17.50 - $23.25/hr

Position Summary Join Deloitte's AI & Engineering practice to support hospital denials management ... This is a primarily remote role supporting enterprise Epic support, with minimal travel and ...

RainFocus

Cybersecurity Engineer (Remote)

Lehi, UT · Remote

About the Role As a Security Engineer, you will play a critical role in safeguarding our ... Experience utilizing AI to improve productivity and efficiency, as well as experience reviewing AI ...

RainFocus

Cybersecurity Engineer (Remote)

Lehi, UT · On-site +1

About the Role As a Security Engineer, you will play a critical role in safeguarding our ... Experience utilizing AI to improve productivity and efficiency, as well as experience reviewing AI ...

Adobe

Device Experience Platform Developer

Lehi, UT · Remote

$115K - $218K/yr

Device Experience Platform Engineer - NexthinkJob Summary The Device Experience Platform Engineer ... Develop Remote Actions using PowerShell. Build workflows using Nexthink Flow. Create NQL queries.

Suralink Inc

Software Engineer III

Salt Lake City, UT · Remote

$58.75 - $79/hr

As the leading AI platform for accounting firms, Suralink serves more than 50% of the top 100 ... Recognized for growth, innovation, and culture, we foster a highly collaborative, remote-first ...

Canopy

Senior Application Security Engineer

Draper, UT · Remote

$107K - $146K/yr

... AI is reshaping both the threats we defend against and the tools we defend with ... This position is fully remote in Utah. What You'll Do * Help design and execute a multi-year ...

Canopy

Senior Application Security Engineer

Draper, UT · Remote

$107K - $146K/yr

... AI is reshaping both the threats we defend against and the tools we defend with ... This position is fully remote in Utah. What You'll Do * Help design and execute a multi-year ...

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All JobsGenerative Ai Engineer JobsRemote Generative Ai Engineer JobsRemote Generative Ai Engineer Jobs in Sandy, UT

Remote Generative Ai Engineer information

See Sandy, UT salary details

$36.1K

$110.1K

$182K

How much do remote generative ai engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote generative ai engineer in Sandy, UT is $110,101.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,900.00 and $144,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Generative Ai Engineer vs Remote Machine Learning Engineer?

AspectRemote Generative Ai EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related; experience with generative modelsBachelor's or higher in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentCollaborates on AI model development, focuses on generative models like GPT, GANsDevelops and deploys ML models for various applications, including predictive analytics
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, and data-driven industries

While both roles involve AI and machine learning, a Remote Generative Ai Engineer specializes in creating models that generate content, such as text or images, using generative techniques. In contrast, a Remote Machine Learning Engineer works on a broader range of ML models for predictive or classification tasks. The roles often overlap but differ in focus and application.

What are the key skills and qualifications needed to thrive as a remote generative AI engineer?

To thrive as a Remote Generative AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically with a relevant degree and experience in building AI models. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (such as AWS or Azure), and version control systems like Git is essential. Strong problem-solving, self-motivation, and effective remote communication set outstanding engineers apart in this role. These skills are crucial for developing innovative AI solutions, collaborating across distributed teams, and delivering impactful results in a remote work environment.

How do remote generative AI engineers typically collaborate with cross-functional teams to deliver AI-driven solutions?

Remote Generative AI Engineers often work closely with data scientists, product managers, and software engineers to integrate generative AI models into products or services. Collaboration is usually facilitated through virtual meetings, code repositories, and project management tools, enabling seamless communication across different time zones. Regular check-ins and sprint reviews help ensure alignment on goals, while documentation and clear communication are essential for maintaining project momentum. This collaborative environment not only fosters innovation but also allows engineers to gain exposure to a variety of perspectives and expertise.

What is a remote generative AI engineer?

A Remote Generative AI Engineer is a technology professional who specializes in developing, training, and deploying artificial intelligence models that can generate new content—such as text, images, audio, or video—while working from a remote location. These engineers typically work with advanced machine learning techniques like deep learning, neural networks, and large language models. Their responsibilities often include designing algorithms, optimizing model performance, and collaborating with distributed teams to build innovative AI-driven solutions. The remote aspect allows them to perform their duties from anywhere with internet access, offering flexibility and access to global opportunities.

What are popular job titles related to Remote Generative Ai Engineer jobs in Sandy, UT?

For Remote Generative Ai Engineer jobs in Sandy, UT, the most frequently searched job titles are:

What job categories do people searching Remote Generative Ai Engineer jobs in Sandy, UT look for?

The top searched job categories for Remote Generative Ai Engineer jobs in Sandy, UT are:

What cities near Sandy, UT are hiring for Remote Generative Ai Engineer jobs?

Cities near Sandy, UT with the most Remote Generative Ai Engineer job openings:

Remote Generative Ai Engineer jobs near you

Bioinformatics Software Engineer

micro1 AI

West Jordan, UT • Remote

$80 - $110/hr

Part-time

Posted 14 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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