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AI Full Stack Developer / Architect (ON-SITE ONLY)

San Jose, CA, US • Posted 5 hours ago • Updated 5 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

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Job Details

Skills

Leadership
Health Insurance
Insurance
Research
Testing
Application Development
TensorFlow
scikit-learn
Mobile Applications
RESTful
Large Language Models (LLMs)
Frontend Development
Interfaces
Vue.js
Machine Learning Operations (ML Ops)
Workflow
Database Administration
Management
NoSQL
Database
Collaboration
Python
Django
JavaScript Frameworks
React.js
Node.js
JavaScript
Plotly
Dash Python
API
LangChain
PyTorch
DevOps
Cloud Computing
Amazon Web Services
Google Cloud Platform
Google Cloud
Microsoft Azure
Docker
Kubernetes
Generative Artificial Intelligence (AI)
Privacy
Computer Science
Artificial Intelligence
Machine Learning (ML)

Leadership
Health Insurance
Insurance
Research
Testing
Application Development
TensorFlow
scikit-learn
Mobile Applications
RESTful
Large Language Models (LLMs)
Frontend Development
Interfaces
Vue.js
Machine Learning Operations (ML Ops)
Workflow
Database Administration
Management
NoSQL
Database
Collaboration
Python
Django
JavaScript Frameworks
React.js
Node.js
JavaScript
Plotly
Dash Python
API
LangChain
PyTorch
DevOps
Cloud Computing
Amazon Web Services
Google Cloud Platform
Google Cloud
Microsoft Azure
Docker
Kubernetes
Generative Artificial Intelligence (AI)
Privacy
Computer Science
Artificial Intelligence
Machine Learning (ML)

Summary

Company Description

For More Open Positions Visit us at:
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Our Mission

WOONGJIN, Inc. is a rapidly growing team who provides a range of unique, exceptional, and enhanced services to our clients. We have a strong moral code that includes the service of goodness without expectations of reward. We are motivated by the sense of responsibility and servant leadership.

Benefits
Medical Insurance
Vision Insurance
Dental Insurance
401(k)
Paid Sick hours

Job Description

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

Qualifications
Experience: 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: 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

Additional Information

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

*** NO C2C ***

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Dice Id: 90803333
Position Id: 79561ed7ab1998b31540509b39a732a5
Posted 5 hours ago

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