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Remote Generative Ai Engineer Jobs in Utah (NOW HIRING)

Sony

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Bread Financial

Senior Staff Agentic AI Engineer

Draper, UT · On-site +1

$99K - $134K/yr

... ML, Generative AI, or agentic systems (e.g., LLM-powered applications, LangChain, LangGraph ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

WEX

Senior Backend Engineer - AI Platform

Salt Lake City, UT · On-site +1

$118K - $156K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Operating at the vanguard of generative AI, distributed systems, and fintech, you will empower WEX ...

eNett

Senior Backend Engineer - AI Platform

Salt Lake City, UT · On-site +1

$118K - $156K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Operating at the vanguard of generative AI, distributed systems, and fintech, you will empower WEX ...

NRG Energy

Senior AI Security Engineer

Lehi, UT · On-site +1

$107K - $147K/yr

Experience evaluating the security of generative AI systems * Experience with cloud platforms ... fully remote for qualified candidates in other locations NRG Energy is committed to a drug and ...

NRG

Senior AI Security Engineer

Lehi, UT · On-site +1

$107K - $147K/yr

Experience evaluating the security of generative AI systems * Experience with cloud platforms ... fully remote for qualified candidates in other locations NRG Energy is committed to a drug and ...

Symmetry

$13 - $17.50/hr

Proficiency with generative AI * Video editing skills * Experience with motion graphics or ... Remote Duration: 10-12 weeks (Summer 2025)

Lucid Software

Sr. Product Manager, AI

Salt Lake City, UT · On-site +1

$122K - $161K/yr

... of Generative AI? Are you drawn to work that is different every single day? If this is you, let ... Stay at the forefront of modern AI, agentic systems, and developer tooling, bringing new ...

Xplor

Director of Engineering, SaaS

Salt Lake City, UT · On-site +1

Experience implementing AI-assisted software development practices using modern AI coding assistants and Generative AI technologies to improve engineering productivity, software quality, and delivery ...

Lucid Software

Sr. Product Manager

Salt Lake City, UT · On-site +1

$122K - $161K/yr

Practical understanding of modern AI capabilities and limitations, including generative AI, large ... with Engineering and Data Science partners. * A proactive approach to seeking feedback, learning ...

Applause

AI Solutions Engineer

Salt Lake City, UT · Remote

Jeff Martin, CTO We're looking for an AI Solutions Engineer to drive AI adoption across every team ... Very effective in a remote work environment Benefits Benefits: 100% remote w/ no office mandate ...

Applause

AI Solutions Engineer

Salt Lake City, UT · On-site +1

Jeff Martin, CTO We're looking for an AI Solutions Engineer to drive AI adoption across every team ... Very effective in a remote work environment Benefits Benefits: 100% remote w/ no office mandate ...

Bolo AI

Software Engineer - AI-Native Full Stack Bolo AI Bay Area (Hybrid) | Salt Lake City Area (Remote) | Full-Time Senior Engineer The Role Has Changed Three person engineering teams are building what ...

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Remote Generative Ai Engineer information

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 the most commonly searched types of Generative Ai Engineer jobs in Utah?

The most popular types of Generative Ai Engineer jobs in Utah are:

What are popular job titles related to Remote Generative Ai Engineer jobs in Utah?

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

What job categories do people searching Remote Generative Ai Engineer jobs in Utah look for?

The top searched job categories for Remote Generative Ai Engineer jobs in Utah are:

What cities in Utah are hiring for Remote Generative Ai Engineer jobs?

Cities in Utah with the most Remote Generative Ai Engineer job openings:

Remote Generative Ai Engineer jobs near you

Full Stack AI Engineer (Agentic Systems) - Remote - USA

FullStack Labs

Salt Lake City, UT • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago

Job description

About FullStack
FullStack is one of the fastest-growing software consultancy companies in the Americas. We deliver transformational digital solutions to top global companies and Silicon Valley startups. As an employee-first company, we focus on hiring the most talented software designers and developers by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.
We're most proud of:
  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world's greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.2-star rating on GlassDoor.
  • Our client Net Promoter Score of 68, twice the industry average.

The Position
We're looking to hire a Full-Stack AI Engineer (Agentic Systems) to join our team. This is a high-impact, client-facing role designed for a "plus-plus" version of a developer, someone who doesn't just build, but defines the architecture of how global enterprises adopt agentic workflows. You will serve as a strategic consultant and technical lead, helping regulated industries and Fortune 500 clients transition from traditional development to AI-augmented engineering productivity.
What We Are Looking For
  • 5+ years of professional full-stack software engineering experience.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • Expertise in building agentic AI workflows and autonomous AI systems.
  • Hands-on experience utilizing Claude Code and modern LLM platforms (Anthropic Claude, OpenAI).
  • Strong history of developing AI-powered web applications using React, Next.js, JavaScript, and TypeScript.
  • Extensive experience building backend services and APIs with Node.js or Python.
  • Track record of productizing early-stage Generative AI prototypes into scalable, production-ready MVPs.
  • Solid understanding of cloud-based architectures on AWS and containerization tools such as Docker.
  • Well-versed in database management systems, including PostgreSQL and MongoDB.
  • Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration frameworks.
  • Capable of working with GraphQL, microservices, or event-driven systems in fast-paced environments.
  • Ability to work through new and difficult issues and contribute to libraries as needed.
  • Ability to create and maintain continuous integration and delivery of applications.
  • Forensic attention to detail.
  • A positive mindset and a can-do attitude.
  • Experience working on Agile/Scrum teams.
  • Meaningful experience working on large, complex systems.
  • Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
  • Ability to identify with the goals of FullStack's clients and dedicate yourself to delivering on the commitments you and your team make to them.
  • Ability to consistently work 40 hours per week.

What We Offer
  • Competitive Salary.
  • Paid Time Off (vacation, sick leave, parental leave, and holidays).
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) w/ 4% match.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.

FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Learn more about our Applicants Privacy Notice .
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About FullStack Labs

Sourced by ZipRecruiter

FullStack Labs is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions. As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Sacramento, CA, US

Year founded

2013

Social media

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