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

AI/ML 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

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.

POSITION SUMMARY The AI/ML Engineer will participate in building, documenting, and refactoring ... Backend & API: Python, Go, Node.js, GraphQL, ElasticSearch, and Postgres WHAT YOU'LL NEED * At ...

POSITION SUMMARY The AI/ML Engineer will participate in building, documenting, and refactoring ... Backend & API: Python, Go, Node.js, GraphQL, ElasticSearch, and Postgres WHAT YOU'LL NEED * At ...

Minimum 8 years' progressive experience including 3+ years in applied AI or backend engineering including strong proficiency with Python. * Experience with agent frameworks (LangChain/LangGraph or ...

POSITION SUMMARY The AI/ML Engineer will participate in building, documenting, and refactoring ... Backend & API: Python, Go, Node.js, GraphQL, ElasticSearch, and Postgres. WHAT YOU'LL NEED * At ...

Sr. AI Agent / Prompt Engineer

Irvine, CA · On-site

$132K - $204K/yr

Qualifications WHAT YOU WILL BRING TO THE ROLE • Minimum 8 years' progressive experience including 3 years in applied AI or backend engineering including strong proficiency with Python. • ...

AI Agent Performance Lead

Irvine, CA · On-site

$154 - $193/hr

This role is distinct from backend engineering. Commercial Technology owns platform architecture ... scale Sierra AI as a trusted, high‑performing sales platform. Responsibilities * Define ...

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Ai Backend Developer information

See Riverside, CA salary details

$12

$60

$88

How much do ai backend developer jobs pay per hour?

As of Sep 5, 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:

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/ML Architect

Saransh Inc

Irvine, CA • On-site

$68.50 - $88/hr

Contractor

Re-posted 18 days ago


Job description

Role: AI Scientist / AI Architect
Location: 4 days a week onsite is must (3 days in Irvine, CA & 1 Day in Downtown, LA, CA)
Job Type: Contract
Description:
  • A highly skilled hands-on AI Scientist / Architect with at least 8+ years of experience in AI/ML, Data Science, or Software Engineering.
  • You bring strong expertise in designing and building scalable, production-ready AI solutions, with deep hands-on experience in LLM-enabled applications, agent-based systems, and cloud-native architectures.
  • You are comfortable working closely with business stakeholders and leading AI-driven innovation initiatives in an enterprise environment.
Note:
Mandatory Areas:
  • AI/ML Solution Architecture
  • LLM & Generative AI Development
  • Agent-Based Systems
  • Retrieval-Augmented Systems (RAG)
  • Enterprise AI Integration
  • AI/ML, Data Science, AI Architecture, Python, LLM, CI/CD
Must Have Skills:
• Python & Backend Development
• LLM / Generative AI Application Development
• Agent-Based AI Systems
• RAG / Vector DB / Embeddings
• API Development & System Integration
• AWS Cloud (Cloud-Native Development)
• CI/CD & DevOps Practices
• Observability (Logging, Monitoring, Tracing)
Responsibilities:
  • Design and develop scalable AI/ML pipelines and intelligent applications aligned with enterprise standards
  • Build agent-based AI workflows, automation systems, and retrieval-based architectures (RAG, vector search, embeddings)
  • Architect and implement LLM orchestration layers supporting content ideation, drafting, and editing workflows
  • Lead integration of AI solutions with backend systems and enterprise platforms (APIs, internal tools, data platforms)
  • Partner with product, marketing, and business stakeholders to translate requirements into AI-driven solutions
  • Provide architectural leadership, guide offshore teams, and ensure delivery aligned with scalability, security, and governance standards.
Requirements:
  • 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
  • Experience building agent-based / agent-oriented AI systems
  • Strong expertise in retrieval-based systems (RAG, vector databases, embeddings, indexing)
  • Experience with API development and backend system integration.
  • AWS cloud-native development experience
  • Experience with CI/CD pipelines and environment management
  • Strong understanding of observability (logging, monitoring, tracing)
  • Experience deploying ML models in production environments
  • Exposure to enterprise AI workflows, automation, and governance models.
Domain Experience (If any):
• AI-enabled enterprise workflows
• Marketing / Content generation platforms (nice to have)
• Financial / Investment domain (preferred based on content use cases)
Certifications:
• Not mandatory (AWS / ML / AI certifications are good to have)