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Ai Backend Developer Jobs in Riverside, CA (NOW HIRING)

Yum Brands

AI Backend Engineer II

Irvine, CA · On-site

As an AI Backend Engineer II, you will build the production software systems, services, and ... Work with DevOps teams to automate deployment processes, monitor system performance, and ensure the ...

Pizza Hut

AI Backend Engineer II

Irvine, CA · On-site

As an AI Backend Engineer II, you will build the production software systems, services, and ... Work with DevOps teams to automate deployment processes, monitor system performance, and ensure the ...

3B Staffing LLC

AI Scientist / AI Architect

Irvine, CA · On-site

$68.50 - $88/hr

At least 8+ years of experience in AI/ML, Data Science, or Software Engineering * Strong Python backend development experience * Hands-on experience with LLM-enabled applications and Generative AI

New

3B Staffing LLC

AI Scientist / AI Architect

Irvine, CA · On-site

$68.50 - $88/hr

At least 8+ years of experience in AI/ML, Data Science, or Software Engineering * Strong Python backend development experience * Hands-on experience with LLM-enabled applications and Generative AI

New

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Ai Backend Developer information

See Riverside, CA salary details

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How much do ai backend developer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for ai backend developer in Riverside, CA is $60.23, according to ZipRecruiter salary data. Most workers in this role earn between $49.42 and $71.20 per hour, depending on experience, location, and employer.

What is an AI backend developer?

AI Backend Developers are software engineers who specialize in building and maintaining the server-side infrastructure that powers artificial intelligence applications. They design APIs, manage databases, and implement algorithms that support machine learning models and AI-driven features. Their work ensures that AI systems are scalable, efficient, and securely integrated with other services. AI Backend Developers often work closely with data scientists and frontend developers to deliver end-to-end AI solutions.

What skills and qualifications are needed to be an AI backend developer?

To thrive as an AI Backend Developer, you need strong programming skills (especially in Python or Java), a solid grasp of machine learning concepts, and experience with backend frameworks, supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS or Azure), containerization tools (such as Docker), and frameworks like TensorFlow or PyTorch is typically required, along with knowledge of RESTful APIs and databases. Problem-solving abilities, teamwork, and clear communication are essential soft skills that help navigate complex projects and collaborate with cross-functional teams. These technical and interpersonal skills ensure robust, scalable AI solutions are developed and maintained efficiently in a rapidly evolving field.

How does an AI backend developer interact with data scientists and frontend teams?

As an AI Backend Developer, you will frequently collaborate with data scientists to integrate machine learning models into scalable backend systems. This involves translating prototypes into production-ready APIs, ensuring data pipelines are robust, and optimizing inference performance. You’ll also work closely with frontend teams to define API contracts and ensure that data flows smoothly between the user interface and backend processes. Effective communication and teamwork are essential, as these collaborations help deliver seamless AI-powered features to end users.

What is the difference between Ai Backend Developer vs Data Engineer?

AspectAi Backend DeveloperData Engineer
Required CredentialsBachelor's in CS, AI, or related fields; knowledge of AI frameworksBachelor's in CS, Data Science, or related fields; expertise in data pipelines
Work EnvironmentDeveloping AI models, integrating AI into backend systemsBuilding and maintaining data infrastructure and pipelines
Employer & Industry UsageTech companies, AI startups, enterprises integrating AIData-driven companies, finance, healthcare, tech firms

While both roles require strong programming skills and familiarity with data processing, Ai Backend Developers focus on integrating AI models into backend systems, whereas Data Engineers specialize in building data pipelines and infrastructure. Both roles are essential in AI-driven projects but serve different functions within the data ecosystem.

What are popular job titles related to Ai Backend Developer jobs in Riverside, CA?

For Ai Backend Developer jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Ai Backend Developer jobs in Riverside, CA look for?

The top searched job categories for Ai Backend Developer jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Ai Backend Developer jobs?

Cities near Riverside, CA with the most Ai Backend Developer job openings:

Ai Backend Developer jobs near you
Infographic showing various Ai Backend Developer job openings in Riverside, CA as of August 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 65% Physical, 4% Hybrid, and 31% Remote job distribution, with an average salary of $125,282 per year, or $60.2 per hour.

AI Backend Engineer II

Yum Brands

Irvine, CA • On-site

Full-time

Re-posted 19 days ago

Yum! Brands rating

5.4

Company rating: 5.4 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

Job description

Company Overview:

Yum Brands is a global leader in the fast-food industry, with a portfolio of renowned brands including KFC, Pizza Hut, Taco Bell, and more. We're dedicated to providing delicious, convenient, and innovative food experiences to our customers worldwide.

Position Overview:

We are seeking a talented and passionate AI Backend Engineer II to join our dynamic team at Yum Brands. As an AI Backend Engineer II, you will build the production software systems, services, and infrastructure that power machine learning solutions at scale. You will focus on deploying, integrating, and operating AI capabilities across our business, ensuring they are reliable, scalable, and performant in production environments.

Qualifications:

  • Bachelor's or master's degree in computer science, engineering, mathematics, or a related field.
  • Proven experience (4+ years) designing, building, and operating production software systems that support machine learning solutions in real-world business applications.
  • Experience working with distributed systems, APIs, and microservices in production environments.
  • Proficiency in Python with strong software engineering skills and experience in building scalable and maintainable code.
  • Proficiency in message queue technologies and services like Kafka, Pulsar, or RabbitMQ and experience working with real-time data streaming.
  • Experience working with containerization technologies such as Docker and Kubernetes.
  • Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
  • Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced and dynamic environment.

Nice to Have:

  • Experience with cloud computing platforms such as AWS, Azure, or GCP.
  • Familiarity with latest tools and trends surrounding Large Language Models and Generative AI.

  • Experience with version control systems, such as Git.

Key Responsibilities:

  • Collaborate with data scientists, software engineers, and business stakeholders to deploy, integrate, and operate machine learning solutions within production systems and business applications.

  • Design, develop, and maintain scalable production systems that deploy, serve, monitor, and integrate machine learning models into downstream applications and business workflows.

  • Optimize machine learning platforms, services, and deployment pipelines for performance, scalability, reliability, and operational efficiency.
  • Work with DevOps teams to automate deployment processes, monitor system performance, and ensure the smooth operation of applications and services in production.
  • Stay updated on emerging technologies and industry trends in machine learning, software engineering, and cloud computing, and evaluate their potential impact on our business operations.

What Yum! Brands employees say

Pay

Benefits

Hours and flexibility

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