Woongjin, Inc
Information Technology And Services
AIFullStackDeveloper/Architect
Neural analysis suggests this role is
optimal for mid candidates.
“AI Full Stack Developer / Architect at Woongjin, Inc. Skills: AI Full Stack Development, Generative AI, Agentic Architectures, ML Model Integration, MLOps, Backend Development, Frontend Development, Cloud Platforms, Containerization. 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”
Industry & Context.
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, 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), Experience with container technologies (Docker, Kubernetes)
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
Work 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
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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