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

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

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, GCP, 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

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

• NO C2C ***

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.

Benefits

Medical Insurance

Vision Insurance

Dental Insurance

401(k)

Paid Sick hours