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Ai Full Stack Developer Jobs in Westminster, CA (NOW HIRING)

Position: Full Stack Developer Location: Los Angeles, CA Work Environment: Position is hybrid ... Familiarity with AI-enhanced coding tools such as GitHub Copilot, Tabnine, or use of large language ...

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 ...

Java Full Stack Developer

Irvine, CA · On-site

$56.25 - $72.75/hr

Java Full Stack developer 12+month of contract Charlotte/ Irvine Must have :- Java full-stack and strong backend (Spring Boot/ AWS/ APIs) Required Skills :- * 5+ years of experience in Java Full ...

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 ...

Java Full Stack Developer

Los Angeles, CA

$56.50 - $73/hr

Full Stack Developers with good J2EE experience. Strong background in J2EE development, Spring framework, Java Script (Angular JS, Node JS) - Strong knowledge of data structures and OOPs design ...

Java Full Stack Developer

Los Angeles, CA

$56.50 - $73/hr

Full Stack Developers with good J2EE experience. Strong background in J2EE development, Spring framework, Java Script (Angular JS, Node JS) - Strong knowledge of data structures and OOPs design ...

Full-Stack Engineer

Irvine, CA · On-site

$90K - $135K/yr

Full-Stack Engineer Job Title: Full Stack Software Engineer - Irvine, CA (Hybrid) Salary: $90,000 ... NET, React or Vue.js, SQL, AWS, daily use of AI coding tools We are a well-established fintech ...

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Ai Full Stack Developer information

See Westminster, CA salary details

$24

$61

$88

How much do ai full stack developer jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for ai full stack developer in Westminster, CA is $61.09, according to ZipRecruiter salary data. Most workers in this role earn between $50.82 and $70.38 per hour, depending on experience, location, and employer.

What is the difference between Ai Full Stack Developer vs Data Scientist?

AspectAi Full Stack DeveloperData Scientist
Required CredentialsBachelor's in CS, Software Engineering, or related; knowledge of AI frameworksBachelor's or higher in Data Science, Statistics, or related; proficiency in data analysis tools
Work EnvironmentDevelops AI applications, integrates front-end and back-end AI solutionsAnalyzes data, builds predictive models, visualizes insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, an Ai Full Stack Developer focuses on building and integrating AI-powered applications across the full software stack, whereas a Data Scientist primarily analyzes data and develops models to extract insights. The roles often overlap in AI projects but serve different core functions.

What job categories do people searching Ai Full Stack Developer jobs in Westminster, CA look for? The top searched job categories for Ai Full Stack Developer jobs in Westminster, CA are:
What cities near Westminster, CA are hiring for Ai Full Stack Developer jobs? Cities near Westminster, CA with the most Ai Full Stack Developer job openings:
Infographic showing various Ai Full Stack Developer job openings in Westminster, CA as of June 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $127,066 per year, or $61.1 per hour.

Full Stack Developer

Staffactory

Los Angeles, CA • On-site

Full-time

Re-posted 27 days ago


Job description

Position: Full Stack Developer
Location: Los Angeles, CA
Work Environment: Position is hybrid. Local Southern California is preferred. The candidate must be willing to go onsite.
 

Key responsibilities:
  • Full Stack Development: Design and implement scalable, modular web applications by applying advanced knowledge of front-end and back-end technologies to support enterprise-wide solutions.
  • UI/UX Engineering: Collaborate with designers and product teams to build intuitive, responsive, and accessible user interfaces using HTML5, CSS3, Angular, and WCAG standards.
  • API & Service Architecture: Develop and maintain RESTful APIs and backend services using .NET Core and C#, ensuring secure, performant, and reusable integration across systems.
  • Database Engineering: Integrate and optimize relational databases such as SQL Server by applying expertise in query design, indexing, and ORM tools like Entity Framework to support data-driven applications.
  • DevOps & CI/CD Automation: Configure and manage CI/CD pipelines using Azure DevOps and GitHub to streamline code deployment, testing, and release processes across environments.
  • Platform & Identity Integration: Build extensible platform components with support for multi-tenant architecture and integrate authentication protocols (OAuth2, OpenID Connect) with identity providers like Azure AD.
 
DESIRABLE QUALIFICATIONS
The ideal candidate will possess the following desirable qualifications:
  • Experience building cloud-native applications using containers, serverless functions, and orchestration tools such as Kubernetes, Docker, Azure Functions, or AWS Lambda.
  • Proficiency developing modern front-ends, with emphasis on component-driven micro front-end architecture and state management.
  • Familiarity with GraphQL, OData and API gateway tools such as Azure API Management or AWS API Gateway.
  • Understanding of secure coding practices, threat modeling, and integration of security checks into development workflows (e.g., OWASP Top 10, SAST/DAST tools).
  • Experience implementing observability stacks using tools like OpenTelemetry, Grafana, Prometheus, or Application Insights to monitor and optimize system health.
  • Familiarity with AI-enhanced coding tools such as GitHub Copilot, Tabnine, or use of large language models (LLMs) for code generation, refactoring, or documentation.
  • Experience designing robust automated testing frameworks using tools like Cypress, Playwright, xUnit, or Jest, with integration into CI/CD pipelines.
  • Proven success integrating enterprise systems across domains such as HRIS, CRM, ERP, or e-commerce platforms, with attention to data governance and interoperability.