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

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 ...

Adobe

2027 Intern - Machine Learning Engineer

Lehi, UT · On-site +1

Contribute to applied AI projects with real product impact, including generative AI features ... Collaborate closely with engineers, product managers, and researchers to scope problems, ship ...

New

Bread Financial

Product Manager AI Platforms

Draper, UT · On-site +1

$144K - $250K/yr

This role will work closely with cross-functional teams, including engineering, marketing, sales ... Generative AI Product Management Reports To : Senior Manager and above Direct Reports : 2 - 5 Work ...

Quora

iOS Engineer -Remote

Orem, UT · Remote

$61.63 - $88.47/hr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

RainFocus

Full Stack Developer (Remote)

Orem, UT

About the Role As a Full Stack Developer, you will develop enterprise-grade web applications using ... You'll work closely across-functions to turn AI ideas into working solutions. RainFocus is looking ...

RainFocus

Full Stack Developer (Remote)

Orem, UT · Remote

About the Role As a Full Stack Developer, you will develop enterprise-grade web applications using ... You'll work closely across-functions to turn AI ideas into working solutions. RainFocus is looking ...

RainFocus

Cybersecurity Engineer (Remote)

Lehi, UT · On-site

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 · 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 ...

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.

Entrata

Senior Machine Learning Engineer

Lehi, UT · On-site +1

$144K - $233K/yr

Since 2003, Entrata has evolved from a visionary, student-led startup into a global leader in AI ... Flexible and transparent culture with remote and hybrid work options, generous vacation time, and ...

Entrata

Senior Machine Learning Engineer

Lehi, UT · On-site +1

$144K - $233K/yr

Since 2003, Entrata has evolved from a visionary, student-led startup into a global leader in AI ... Flexible and transparent culture with remote and hybrid work options, generous vacation time, and ...

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

Remote Generative Ai Engineer information

See Orem, UT salary details

$33K

$100.7K

$166.5K

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

As of Sep 3, 2026, the average yearly pay for remote generative ai engineer in Orem, UT is $100,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $131,700.00 per year, depending on experience, location, and employer.

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 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 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.

How much does a remote generative AI engineer make?

A remote generative AI engineer typically earns between $100,000 and $160,000 annually, depending on experience, skills, and the company's location. Senior roles or those with specialized expertise in machine learning and deep learning can command higher salaries, especially with proficiency in tools like TensorFlow or PyTorch.

What are the best remote generative AI engineer jobs?

Remote generative AI engineer jobs are available across technology companies, research institutions, and startups, often requiring skills in machine learning frameworks like TensorFlow or PyTorch and experience with natural language processing or computer vision. These roles typically involve developing and deploying AI models remotely, with some positions offering flexible schedules and requiring certifications or advanced degrees in computer science or related fields.

What is the average salary of a remote generative AI engineer?

The average salary for a remote generative AI engineer typically ranges from $100,000 to $150,000 annually, depending on experience, skills in machine learning frameworks, and the complexity of projects. Senior roles or those with specialized expertise in deep learning and large language models can earn higher compensation. Remote positions often offer competitive pay comparable to on-site roles in the tech industry.

What are the most commonly searched types of Generative Ai Engineer jobs in Orem, UT?

The most popular types of Generative Ai Engineer jobs in Orem, UT are:

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

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Remote Generative Ai Engineer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Orem, UT • Remote

Full-time

Re-posted 13 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply