ZipRecruiter

Log In

2

Remote Aws Ai Jobs in Riverside, CA (NOW HIRING)

Mondo

Full Stack Engineer

Irvine, CA · Remote

$160K - $190K/yr

Remote (PST / MST / CST timezones; overlap with Australia required, especially in the first few ... Translate loose product requirements into technical designs and task breakdowns, leveraging AI ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Hands-on experience with cloud and cloud-native tools such as AWS (SageMaker, S3, or similar cloud ... remote option. Why Join Field AI? We are solving one of the world's most complex challenges ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Hands-on experience with cloud and cloud-native tools such as AWS (SageMaker, S3, or similar cloud ... remote option. Why Join Field AI? We are solving one of the world's most complex challenges ...

Cisco

Solutions Engineer - Media and Gaming

Irvine, CA · On-site +1

$218K - $286K/yr

Note - While this is a remote position, we are seeking candidates located in or willing to relocate ... Design for agility, automation, and AI-ready infrastructure. * Drive Technical Preference: Lead ...

Qcells

IT Help Desk Lead

Irvine, CA · On-site +1

$106K - $117K/yr

S. offices, including remote IT support * Provide laptop/OS support and manage remote access via ... Familiar with cloud-based systems (Azure, AWS, GCP) * IT-related certifications: CompTIA A ...

previous page

Showing results 21-34

All JobsAws Ai JobsRemote Aws Ai JobsRemote Aws Ai Jobs in Riverside, CA

Remote Aws Ai information

See Riverside, CA salary details

$11

$56

$80

How much do remote aws ai jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote aws ai in Riverside, CA is $56.39, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $67.21 per hour, depending on experience, location, and employer.

What is the difference between Remote Aws Ai vs Cloud Engineer?

AspectRemote Aws AiCloud Engineer
Required CredentialsAWS certifications, AI/ML knowledgeCloud certifications, AWS, Azure, GCP
Work EnvironmentRemote, collaborative teams, cloud platformsRemote or on-site, cloud infrastructure management
Industry UsageTech, AI, machine learning projectsIT, cloud services, infrastructure deployment

Remote Aws Ai professionals focus on integrating AI solutions within AWS cloud environments, often requiring AI/ML expertise and AWS certifications. Cloud Engineers have a broader role managing various cloud infrastructures, including AWS, Azure, or GCP, and may work on deploying, maintaining, and optimizing cloud systems. While both roles involve cloud platforms, Remote Aws Ai specialists concentrate on AI-driven projects within AWS, whereas Cloud Engineers handle diverse cloud infrastructure tasks across multiple providers.

What are popular job titles related to Remote Aws Ai jobs in Riverside, CA?

For Remote Aws Ai jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Remote Aws Ai jobs in Riverside, CA look for?

The top searched job categories for Remote Aws Ai jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Remote Aws Ai jobs?

Cities near Riverside, CA with the most Remote Aws Ai job openings:

Remote Aws Ai jobs near you

Full Stack Engineer

Mondo

Irvine, CA • Remote

$160K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago

Job description

Apply now: Full Stack Engineer, Remote. Start date is ASAP for this Permanent position. Job Title: Full Stack Engineer Location-Type: Remote (PST / MST / CST timezones; overlap with Australia required, especially in the first few months) Start Date: ASAP Duration: Permanent Compensation Range: $160,000 - $190,000 Benefits: Equity grant (10% of salary, 5-year vesting schedule); Eligible for Health, Dental, Vision, and 401K, PTO Visa Sponsorship: Not eligible for visa sponsorship Job Description:
  • The client is seeking a senior full-stack engineer to own and drive backend services, APIs, and platform architecture across a fast-growing, IoT-powered retail media network scaling to tens of thousands of locations.
Job Summary
  • Build and maintain backend services and APIs using Python and Django, supporting real-time device fleet management across thousands of retail locations.
  • Design and architect scalable solutions for high-volume, public-facing systems, including multi-database routing, async processing pipelines, and near-real-time control of a large device fleet.
  • Translate loose product requirements into technical designs and task breakdowns, leveraging AI tooling (such as Claude Code) to move from PRD to implementation plan.
  • Develop integrations with third-party advertising and display platforms, contributing to ad-tech functionality around audio and display targeting.
  • Collaborate with the product team to define roadmap priorities, surface risks early, and communicate technical decisions clearly to business stakeholders.
  • Contribute frontend development in React and TypeScript as needed, supporting the full-stack nature of the role.
  • Operate autonomously in a fast-paced startup environment, generating your own tickets, owning work end to end, and supporting new customer onboarding and platform expansion.
Minimum Requirements:
  • 7 or more years of full-stack engineering experience, with a backend-leaning but genuinely full-stack profile (Python and Django on the backend, React on the frontend).
  • Demonstrated production experience with Django and Django REST Framework building large, public-facing APIs at scale.
  • Experience owning and delivering complete features or systems end to end, with a clear record of technical leadership and autonomous decision-making.
  • Familiarity with AI-assisted development workflows (such as Claude Code or similar), with the ability to direct, verify, and take accountability for AI-generated output.
  • Strong engineering judgment, with the ability to decompose ambiguous requirements, reason about failure modes, and right-size solutions without close oversight.
  • Experience working in startup or high-growth environments where engineers are expected to wear multiple hats and operate with limited process.
  • Multicultural or global team experience, particularly with distributed teams across time zones.
Preferred Qualifications:
  • Background in retail media, ad-tech, or digital out-of-home advertising platforms.
  • Experience with IoT, distributed fleet management, or systems managing large numbers of connected devices.
  • Familiarity with AWS cloud infrastructure and async or queue-based processing architectures.
  • Exposure to Elixir or other languages common in polyglot engineering environments.