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Full Stack Developer Node Js React Js Jobs in Santa Clara, CA

AI Full Stack Developer Location: San Jose, CA - Onsite 3 days a week Duration: Fulltime JOB ... Experience with modern JavaScript frameworks (React.js + Node.js,Next.js, Plotly Dash + FastAPI)

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers ... JS, react.JS, knockout.JS) a plus. Experience with databases (Aurora, mySQL, SQL/No SQL) Experience ...

Role: Full Stack AI Engineer Duration: Fulltime/Contract Location: Bay Area, CA (hybrid 4 days a ... Strong TypeScript/Node * Next.js and React, including streaming UI * Experience building LLM-backed ...

As a Full Stack Developer, you will be responsible for designing, developing, and maintaining web ... or Node.js. Implement and maintain databases and data models, ensuring data integrity and ...

As a Full Stack Developer, you will be responsible for designing, developing, and maintaining web ... or Node.js. Implement and maintain databases and data models, ensuring data integrity and ...

Full Stack Developer

San Jose, CA · On-site

$80 - $90/hr

Full Stack Developer (San Jose, CA) Job Overview: We are seeking a Full Stack Software Developer ... Proficiency in Python and Node.js. Strong experience with full-stack development frameworks. Solid ...

... in Python and Node JS. 2. Experience with full-stack development frameworks. 3. Knowledge of ... Familiarity with DevOps tools (Jenkins CI/CD). Education: Bachelor's degree in computer science ...

Java Fullstack Developer

Santa Clara, CA · On-site

$61.75 - $79.50/hr

Java Full Stack Developer Location: Santa Clara, CA (Remote till Covid-19 Exist) Duration: 6+ ... Good exposure to UI skills (Angular, React.JS, jQuery, Bootstrap and other)

Fullstack - Java Frontend Developer

San Mateo, CA · On-site

$59.75 - $77.25/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers ... Angular JS, React JS, Backbone JS, ExtJs, Ember and Knockout Hands on experience creating ...

Fullstack - Java Frontend Developer

San Mateo, CA · On-site

$59.75 - $77.25/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers ... Angular JS, React JS, Backbone JS, ExtJs, Ember and Knockout Hands on experience creating ...

Showing results 21-40

Full Stack Developer Node Js React Js information

See Santa Clara, CA salary details

$28

$69

$101

How much do full stack developer node js react js jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for full stack developer node js react js in Santa Clara, CA is $69.60, according to ZipRecruiter salary data. Most workers in this role earn between $57.88 and $80.19 per hour, depending on experience, location, and employer.

What is the difference between Full Stack Developer Node Js React Js vs Front End Developer React Js?

AspectFull Stack Developer Node Js React JsFront End Developer React Js
Primary FocusDeveloping both client-side and server-side applications using Node.js and React.jsDesigning and implementing user interfaces primarily with React.js
Required SkillsJavaScript, Node.js, React.js, databases, server managementJavaScript, React.js, HTML, CSS, UI/UX design
Work EnvironmentFull-stack projects, backend and frontend developmentFrontend interface and user experience design
Common UsageBuilding complete web applicationsCreating engaging, responsive user interfaces

While Full Stack Developers with Node.js and React.js handle both backend and frontend tasks, Front End Developers focus solely on creating and optimizing user interfaces with React.js. The choice depends on whether you want a broad development role or specialize in UI design.

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AI Full Stack Developer

cyberThink, Inc.

San Jose, CA • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Summary

We are looking for a highly motivated AI Full Stack Developer 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.

Key Responsibilities

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

Required Qualifications & Skills

  • Experience: Proven experience(5~8 yrs. for Middle Level) as a Full Stack Developer with specialized experience in AI model deployment.
  • Backend Skills: Strong proficiency in Python and frameworks like FastAPI or Django.
  • Frontend Skills: Experience with modern JavaScript frameworks (React.js + Node.js,Next.js, Plotly Dash + FastAPI).
  • AI/ML Knowledge: Familiarity with AI model integration (e.g., OpenAI API, LangChain, PyTorch).
  • Cloud/DevOps: Experience in Cloud platforms (AWS, Google Cloud Platform, Azure) and container technologies (Docker, Kubernetes).
  • Education: 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