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Full Stack Ai Engineer Jobs in Riverside, CA (NOW HIRING)

Mondo

Full Stack Engineer

Irvine, CA · Remote

$160K - $190K/yr

Full Stack Engineer Location-Type: Remote (PST / MST / CST timezones; overlap with Australia ... Translate loose product requirements into technical designs and task breakdowns, leveraging AI ...

Wise Skulls

Sr Full Stack Software Engineer

Pomona, CA · On-site

Other three in full stack and Azure AI ecosystem. * Implement scalable microservices and event-driven architectures. * Support CI/CD, DevOps, and application security best practices. * Integrate AI ...

Easy Street Capital

Full Stack Developer

Irvine, CA · On-site

$90K - $110K/yr

We are looking for a skilled and motivated Full Stack Developer to join our growing team, building ... Experience with Python AI programming or machine learning. * Experience developing mobile ...

Month2Month

AI Engineer

Irvine, CA · On-site

$80K - $100K/yr

We are reimagining the global midterm rental market with full-stack, AI-powered solutions. We are a ... Strong programming skills in languages such as Python, Java, Go, or Ruby, with a deep understanding ...

ICEYE US-SkyFi

Full Stack Engineer

Irvine, CA · On-site

$125 - $140/hr

Full Stack Engineer At ICEYE, we design, build and operate the largest fleet of Synthetic Aperture Radar (SAR) satellites in the world. Using advanced technology, our constellation collects ...

New

1 point system

Senior Full-Stack Engineer

Irvine, CA · On-site

Requirement - Senior Full-Stack Engineer Location- Irvine, CA Contract W2 Overview We are seeking a Senior Full-Stack Engineer to support the development of internal Incident Management Tools used by ...

TruArc Health

Full Stack Developer

Corona, CA · On-site +1

$37 - $44/hr

Role Overview We are seeking a Full Stack Developer to design, build, and maintain web applications that power key components of our platform -- including data dashboards, secure portals, relational ...

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All JobsFull Stack Ai Engineer JobsFull Stack Ai Engineer Jobs in Riverside, CA

Full Stack Ai Engineer information

See Riverside, CA salary details

$46.4K

$140.6K

$198.7K

How much do full stack ai engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for full stack ai engineer in Riverside, CA is $140,602.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,800.00 and $164,800.00 per year, depending on experience, location, and employer.

What is a full stack AI engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

What are the key skills and qualifications needed to thrive as a full stack AI engineer?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.

How do full stack AI engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are popular job titles related to Full Stack Ai Engineer jobs in Riverside, CA?

For Full Stack Ai Engineer jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Full Stack Ai Engineer jobs in Riverside, CA look for?

The top searched job categories for Full Stack Ai Engineer jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Full Stack Ai Engineer jobs?

Cities near Riverside, CA with the most Full Stack Ai Engineer job openings:

Full Stack Ai Engineer jobs near you
Infographic showing various Full Stack Ai Engineer job openings in Riverside, CA as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $140,602 per year, or $67.6 per hour.

Full Stack Engineer

Mondo

Irvine, CA • Remote

$160K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 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.