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Remote Generative Ai Engineer Jobs in Rancho Cucamonga, CA

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site +1

$54.75 - $72.50/hr

... Engineer to help advance the next generation of geospatial data quality capabilities across the ... If you are passionate about geospatial technologies, AI-driven data quality management, and ...

EnerSys

Senior Finance AI & Automation Developer

Chino, CA · On-site +1

$95K - $119K/yr

Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA ... Job Purpose The Senior Finance AI & Automation Developer's primary responsibilities are to design ...

Innio

Sales Applications Engineer

Brea, CA · On-site +1

$107K - $133K/yr

As electricity demand accelerates-driven by AI,electrificationand grid constraints-INNIO enables ... This position can belocatedanywhere in the United Statesas a remote role.Regionalvicinity of our ...

INNIO

Sales Applications Engineer

Brea, CA · On-site +1

$107K - $133K/yr

As electricity demand accelerates-driven by AI,electrificationand grid constraints-INNIO enables ... This position can belocatedanywhere in the United Statesas a remote role.Regionalvicinity of our ...

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All JobsGenerative Ai Engineer JobsRemote Generative Ai Engineer JobsRemote Generative Ai Engineer Jobs in Rancho Cucamonga, CA

Remote Generative Ai Engineer information

See Rancho Cucamonga, CA salary details

$38.8K

$118.4K

$195.7K

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

As of Aug 12, 2026, the average yearly pay for remote generative ai engineer in Rancho Cucamonga, CA is $118,404.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,800.00 and $154,800.00 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 Rancho Cucamonga, CA? For Remote Generative Ai Engineer jobs in Rancho Cucamonga, CA, the most frequently searched job titles are:
What cities near Rancho Cucamonga, CA are hiring for Remote Generative Ai Engineer jobs? Cities near Rancho Cucamonga, CA with the most Remote Generative Ai Engineer job openings:
Remote Generative Ai Engineer jobs near you

Sr. Generative AI Software Developer

Esri

Redlands, CA • On-site, Remote

$54.75 - $72.50/hr

Full-time

Re-posted 23 days ago

Esri rating

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

7th of 243 rated software companies

Job description

Overview

Esri's Professional Services division is seeking an experienced Sr. Software Development Engineer to help advance the next generation of geospatial data quality capabilities across the ArcGIS platform. In this role, you will design and develop the software used by a large community of GIS professionals to power the operations of their organizations.

In this position, you will design and develop software used by organizations across diverse markets and industries to ensure quality and consistency in their geospatial data holdings. You will be part of a talented cross-functional team of dynamic and passionate engineers who deliver capabilities that enable our customers to make a difference in communities around the world.

As part of the Professional Services division, you will work closely with product teams, domain experts, and technical specialists to create robust, production-ready software that transforms and advances geospatial data quality. If you are passionate about geospatial technologies, AI-driven data quality management, and building scalable, high-performance distributed solutions, this role offers the opportunity to work on cutting-edge technologies that shape how organizations build, validate, and maintain accurate geospatial assets.

Responsibilities

  • Develop Python-based machine learning components that enhance how users assess, understand, and improve spatial data quality
  • Build software that follows industry-standard design patterns, development methodologies, and deployment models
  • Design, develop, test, and integrate AI/ML algorithms as part of product releases and evolve data quality capabilities for customers
  • Build scalable ML pipelines and data engineering processes to improve overall system architecture
  • Work collaboratively with product engineers, researchers, Professional Services product teams, and domain experts
  • Work effectively in an Agile Scrum team environment and iterative development cycles

Requirements

  • 5+ years of professional experience in a similar position supporting similar responsibilities with emphasis on Python, Machine learning or AI systems
  • Strong understanding of object-oriented principles, software architecture, and API design
  • Ability to analyze software/algorithms and identify improvements
  • Experience with software development using Python, ML frameworks and RAG systems
  • Bachelor's degree in computer science, mathematics, or STEM related field

Recommended Qualifications

  • Familiarity and knowledge with C++ in large-scale or performance-critical software environments is beneficial
  • Experience analyzing large geospatial datasets and working with vector databases
  • Knowledge of the ArcGIS platform, including ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise and enterprise geodatabases
  • Experience in developing REST based services and cloud deployment patterns
  • Understanding of key AI concepts, model evaluation and agentic workflows
  • Experience with Agile development methodologies and CI/CD pipelines
  • Master's degree in computer science, mathematics, or STEM related field

#LI-DR5

What Esri employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969

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