Woongjin, Inc

Information Technology And Services

AIFullStackDeveloper/Architect

San Jose, California, United States CONTRACT
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“AI Full Stack Developer / Architect at Woongjin, Inc. Skills: AI Full Stack Development, Generative AI, Agentic Architectures, ML Model Integration, Backend & API Engineering, Frontend Development, MLOps & Deployment. Build, deploy, and maintain end-to-end applications that leverage generative AI models and agentic architectures.. Bridge the gap between AI research and production-ready applications, working across the entire stack from frontend interfaces to backend logic and machine learning mo”

What You'll Achieve.

Turn AI capabilities into user-focused products.

Industry & Context.

Information Technology And Services
Eligibility Requirements

NO C2C

What They're Looking For.

Must Have

Proven experience as a Full Stack Developer with specialized experience in AI model deployment., Proficiency in Python and frameworks like FastAPI or Django., Experience with modern JavaScript frameworks (React. js + Node. js, Next. js, Plotly Dash + FastAPI)., Familiarity with AI model integration (e.g., OpenAI API, LangChain, PyTorch)., Experience in Cloud platforms (AWS, GCP, Azure) and container technologies (Docker, Kubernetes)., Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.

Nice to Have

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.

What You'll Do.

and maintain end-to-end applications that leverage generative AI models and agentic architectures.

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.

and scale AI-driven products.

Develop and maintain end-to-end AI applications

from user interfaces to backend logic

focusing on AI-powered features.

Implement machine learning models into web and mobile applications.

Build and maintain scalable backend services and RESTful APIs

often integrated with large language models (LLMs) and agentic frameworks.

responsive front-end components for user interfaces.

Manage end-to-end life cycles for production

including deployment workflows to ensure high-performance applications.

Manage both relational and NoSQL databases to support AI-powered functionality.

How You'll Work.

Team & Collaboration

Work closely with data scientists, product managers, and designers to turn AI capabilities into user-focused products.

Full Job Description

For More Open Positions Visit us at: http://recruiting.woongjininc.com/ 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. 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

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