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Ai Full Stack Developer Jobs in California (NOW HIRING)

About Nexusflow.ai Modern enterprise copilots & agents call for last-mile quality, enterprise-grade ... Full-Stack Engineer Nexusflow is currently adding Full-Stack Engineers to our team. Our full-stack ...

... and full-stack architecture. Help shape how Eva responsibly applies AI in healthcare workflows ... Hands-on experience with cloud infrastructure and modern DevOps practices, ideally across AWS, GCP ...

An embedded AI teammate serves as every operator's always-on co-pilot: detecting anomalies, correlating events, and surfacing recommendations 24/7. As a Full Stack Developer, you will build the ...

Full Stack Developer

Menlo Park, CA ยท On-site

$60 - $74/hr

Full Stack Developer Location: Menlo Park, CA Duration: 12 months + Compensation: $60-74/hr Work ... AI and Automated Employment Decision Tool Policy: . By submitting an application, you are ...

Position Overview We are seeking a Full Stack Developer to help build and maintain our cloud infrastructure and web applications. This role requires expertise in modern web technologies and a strong ...

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

Palo Alto, CA ยท On-site +1

$110K - $160K/yr

As a full-stack developer, you would touch nearly every aspect of our business and work in cross ... Vianai is a Human-Centered AI platform and products company amplifying the power of human ...

Full Stack Developer

Palo Alto, CA ยท On-site

$110K - $160K/yr

As a full-stack developer, you would touch nearly every aspect of our business and work in cross ... Vianai is a Human-Centered AI platform and products company amplifying the power of human ...

Java Full Stack Developer

San Jose, CA ยท On-site

$61.50 - $79.50/hr

Role - Java Full Stack Developer Location - RTP, NC or San Jose, CA Type: Contract Key ... Exposure to AIML or Generative AI concepts LLMs APIs integrations * Experience with Cloud platforms ...

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Ai Full Stack Developer information

See California salary details

$23

$58

$84

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

As of Jun 30, 2026, the average hourly pay for ai full stack developer in California is $58.48, according to ZipRecruiter salary data. Most workers in this role earn between $48.65 and $67.36 per hour, depending on experience, location, and employer.

Did Elon Musk create a new AI?

Elon Musk has been involved in AI development through ventures like OpenAI and Neuralink, but he did not create a new AI himself. As an AI Full Stack Developer, understanding the contributions of industry leaders can inform your work on developing and deploying advanced AI systems using tools like machine learning frameworks and cloud platforms.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI executives, senior machine learning engineers, or data science directors, often in large tech companies or finance firms. These positions usually require advanced skills in AI, deep learning, and extensive experience, and may include bonuses or stock options that contribute to the total compensation package.

What 3 jobs will not be replaced by AI?

Ai Full Stack Developers are less likely to be replaced by AI because their roles require complex problem-solving, creativity, and understanding of user needs that AI cannot fully replicate. Jobs involving advanced interpersonal skills, such as healthcare professionals, mental health counselors, and skilled tradespeople, are also less susceptible to automation. These roles depend on human judgment, empathy, and adaptability that AI tools currently cannot match.

Is there any AI for free?

As an AI Full Stack Developer, you can access free AI tools and platforms such as TensorFlow, PyTorch, and Hugging Face for developing and deploying AI models. Many cloud providers also offer free tiers or trial credits for AI services, which can be useful for learning and prototyping. However, advanced or large-scale AI solutions often require paid subscriptions or infrastructure investments.

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 California look for? The top searched job categories for Ai Full Stack Developer jobs in California are:
What cities in California are hiring for Ai Full Stack Developer jobs? Cities in California with the most Ai Full Stack Developer job openings:
Infographic showing various Ai Full Stack Developer job openings in California as of June 2026, with employment types broken down into 75% Full Time, 21% Part Time, 2% Temporary, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $121,648 per year, or $58.5 per hour.

AI Full Stack Developer & Architect

SBT Global, Inc.

San Jose, CA โ€ข On-site

$13K/mo

Contractor

Posted 10 days ago


Job description

Company Description

1 Yr Contract

Onsite

Mid- Level Pay Rate: ~$13,975/mo DOE

We are looking for a highly motivatedย AI Full Stack Developerย to join our team to build, deploy, and maintain end-to-end applications that leverage generative AI models and agentic architectures. As a Full-stack AI Developer, will bridge the gap between AI research and production-ready applications, working across the entire stack from frontend interfaces to backend logic and machine learning models. Will be responsible for building, testing, and scaling AI-driven products.

Job Description
  • AI Application Development:ย Develop and maintain end-to-end AI applications, from user interfaces to backend logic, focusing on AI-powered features.
  • ML Model Integration:ย Implement machine learning models (using frameworks likeย PyTorch,ย TensorFlow, orย scikit-learn) into web and mobile applications.
  • Backend & API Engineering:ย Build and maintain scalable backend services and RESTful APIs, often integrated with large language models (LLMs) and agentic frameworks.
  • Frontend Development:ย Create interactive, responsive front-end components for user interfaces using modern frameworks likeย React,ย Vue, orย Next.js.
  • MLOpsย & Deployment:ย Manage end-to-end life cycles for production, including deployment workflows usingย Kubernetes,ย Cloud Run, or containerization tools to ensure high-performance applications.
  • Database Management:ย Manage both relational and NoSQL databases to support AI-powered functionality.
  • Collaboration:ย Work closely with data scientists, product managers, and designers to turn AI capabilities into user-focused products.
Qualifications

Required Qualifications & Skills

  • Experience:ย Proven experience(5~8 yrs. for Middle Level & 9+ yrs. for Sr. Level) as a Full Stack Developer with specialized experience in AI model deployment.
  • Backend Skills:ย Strong proficiency in Python and frameworks like FastAPI or Django.
  • Frontend Skills:ย Experience with modern JavaScript frameworks (React.js + Node.js,Next.js, Plotly Dash + FastAPI).
  • AI/ML Knowledge:ย Familiarity with AI model integration (e.g., OpenAI API, LangChain, PyTorch).
  • Cloud/DevOps:ย Experience in Cloud platforms (AWS, GCP, Azure) and container technologies (Docker, Kubernetes).
  • Education:ย Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.

Preferred Qualifications

  • Experience with generative AI and agentic architectures.
  • Understanding of data privacy and security in AI applications.
  • PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field
Additional Information

All your information will be kept confidential according to EEO guidelines.