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Remote Generative Ai Engineer Jobs in Rancho Cucamonga, CA

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 ...

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 ...

Cybersecurity Architect

Orange, CA · Remote

$85 - $90/hr

... engineering, configuration, and troubleshooting. * Architect and optimize secure remote access ... All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring ...

Beyond your own areas, you actively champion the use of AI tools across the team - helping others ... Partner directly with engineering to shape high-quality fixes, reports, and compliance features

Leadership experience in distributed or remote engineering teams, driving execution across time ... AI-assisted product discovery) Experience with personalization strategies, including user behavior ...

Leadership experience in distributed or remote engineering teams, driving execution across time ... AI-assisted product discovery). * Experience with personalization strategies, including user ...

Carry out statistical analyses and provide direction to programmers, using standard software ... year of remote work outside your home region We may use artificial intelligence (AI) tools to ...

Manager, Technology Partnerships

Ontario, CA · On-site +1

$103K - $183K/yr

Bachelor's degree in engineering, business or related field * 5+ years of experience in technology ... Relevant technology fluency (cloud, AI, and platform concepts) * Strong project management and ...

Construction QA/QC Lead - Disaster Recovery

Riverside, CA · On-site +1

$87K - $115K/yr

Bachelor's degree in Construction Management, Engineering, Architecture, or a related field (or 3 ... Remote position with possible travel to client sites and field offices throughout La County, CA ...

Showing results 21-37

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 8, 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 job categories do people searching Remote Generative Ai Engineer jobs in Rancho Cucamonga, CA look for? The top searched job categories for Remote Generative Ai Engineer jobs in Rancho Cucamonga, CA 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:

Systems Principal Automation Engineer

Login Consulting Services Inc.

Monrovia, CA • On-site, Remote

Full-time

Re-posted 16 days ago


Job description

A leading manufacturer of equipment and systems for resistance welding, laser welding, laser marking, laser cutting, laser micromachining, and hot bar bonding, located in Monrovia, CA, is seeking a Systems Principal Automation Engineer for a full time role.
SUMMARY:
The Systems Operations department delivers integrated, intelligent systems using our 3D, Define-Design-Deliver, philosophy. The Systems Principal Automation Engineer (Principal Engineer) serves as the senior-most technical authority for software architecture, advanced controls, artificial intelligence and machine-learning systems, SCADA/HMI platforms, machine vision, and high reliability industrial automation in Systems Operations.
This position operates with minimal guidance from leadership and establishes technical direction across multidisciplinary engineering teams. Task assignments, project schedules, and backlog priorities are directed through the Engineering Services Manager or delegated Systems Operations technical leadership (Proposal Manager, Engineering Manager, and Automation Lead). The Principal Engineer is expected to self‑manage execution of these tasks with minimal oversight, driving technical quality, architecture decisions, and integration outcomes across Systems Operations.
RESPONSIBILITIES:
Engineering:
* The Principal Engineer will be assigned programming needs for production backlog and development projects.
* Architect and develop advanced software systems supporting automation, motion control, machine
vision, SCADA, safety systems, and distributed industrial operations.
* Architect SCADA/HMI systems for live visualization, diagnostics, alarms, and remote operations.
* Develop industrial data acquisition, historians, and plant-wide data networking (FactoryTalk, IIoT,
MQTT)
* Lead machine learning and AI development initiatives using PyTorch, TensorFlow, OpenCV, and/or HALCON.
* Develop classical and deep learning machines and vision applications using OpenCV or HALCON with custom neural networks or pipelines.
* Oversee dataset design, labeling workflows, training pipelines, and model validation/testing.
* Integrate edge AI hardware and accelerators or embedded inference engines.
* Design and validate real-time controls integrations across PLCs, CNCs, motion controllers, and industrial network systems.
* Develop industrial communication handshakes in Modbus TCP, OPC-UA, TCP/IP, Serial, or other fieldbus protocols.
* Ensure compliance with UL, CE, and NFPA standards governing safety and controls engineering.
* Lead development of machine-learning models for inspection, anomaly detection, automation
optimization, and predictive intelligence within Systems Operations.
* Design operator interfaces using WinForms, WPF, .NET, and industrial panel platforms.
* Author and enforce software architecture standards, reusable libraries, modular frameworks, and
support strategies.
* Utilize Azure DevOps for task assignments, backlog execution, tracking, code review, and revision
control across projects.
* Other projects and tasks assigned by the company from time to time.
Project Engineering:
* Work in and foster a team environment with other engineers, production, QA, test, materials
control, contract management, and sales personnel.
* Support and develop new software under direction of management.
* Prepare interface and functionality documentation for software modules.
* Develop and report on project plans and schedules for software development work.
* Prepare detailed engineering release documents and compliance documents.
Software and Controls Development:
* Analyze and recommend improvements to our present software development and design control
methodology.
* Mentor software and controls engineers on architecture, design patterns, and quality standards.
* Guide the team in adoption of emerging automation and AI technologies.
Supervisory Responsibilities: This job has no supervisory responsibilities.
POSITION REQUIREMENTS:
* Expert-level C# and .NET development experience.
* Expert-level understanding of Rockwell Automation software, specifically Studio 5000 Logix
Designer, RSLogix 500 and 5000.
* Deep expertise in software architecture, distributed systems, machine learning, computer vision, SCADA/HMI platforms, and real‑time industrial automation environments
o Experience with FactoryTalk View or database integration to move data between the PLC
and .NET layers.
* Proven ability to integrate using industrial communication protocols.
* Ability to interpret electrical, pneumatic, and mechanical drawings to support software and controls
design.
* Exceptional communication skills: this role will be communicating daily with internal and external
customers across multiple disciplines.
* Routine adjustment of working hours to support remote login of our worldwide customer base.
* Ability to travel occasionally.
EDUCATION & EXPERIENCE:
* Four-year degree in STEM degree or related discipline
o Master"s or PhD preferred.
* 10+ years in complex software architecture, automation systems, and controls engineering.
* 5+ years" experience in machine vision and AI/ML development.
* Project management training or certification (e.g., PMI, Agile) preferred.
OTHER QUALIFICATIONS:
* Attention to detail and being flexible to manage multiple tasks independently.
* Excellent verbal and written communication skills.
* Exceptional organization and time management skills.
* Proven ability to meet deadlines while performing task accurately.
* Initiative-taking with a keen sense of ownership in all areas of responsibility.* Punctual and dependable attendance.
* Understands company's basic philosophy and participates fully in conducting its mission.