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

Woongjin, Inc$120K — $160K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-8 years of experience as a Full Stack Developer with AI model deployment expertise
  • Proficient in backend development using Python and frameworks like FastAPI or Django
  • Skilled in frontend development with modern JavaScript frameworks such as React.js, Next.js, or Plotly Dash
  • Knowledgeable in AI model integration, including APIs related to OpenAI and PyTorch
  • Familiar with cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field

Responsibilities

  • Develop and maintain end-to-end AI applications, focusing on AI features
  • Implement machine learning models into web and mobile applications
  • Build and maintain scalable backend services and RESTful APIs integrated with large language models
  • Create interactive, responsive front-end components using frameworks like React or Next.js
  • Manage MLOps and deployment workflows using Kubernetes and Cloud Run
  • Oversee database management for both relational and NoSQL databases
  • Collaborate with data scientists and product teams to transform AI capabilities into user-centric products

Benefits

  • Opportunity to work at the cutting edge of AI technology
  • Collaborative team environment with cross-functional roles
  • Involvement in the full application lifecycle from development to deployment
  • Access to advanced tools and frameworks for AI application development
  • Enhanced learning through exposure to both backend and frontend technologies
Full Job Description
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, 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


Additional Information

*** NO C2C ***

About Woongjin, Inc

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Join Woongjin, Inc's market-leading team to assist some of the most dynamic companies in mastering their business challenges. At Woongjin, Inc, the focus is on transforming businesses through leadership in industries and digital innovation. Lead from a unique position in the marketplace, leveraging technology, industry expertise, and digital innovation to make a significant impact. Engage with a global team of business and technology advisors to help clients navigate through their transformation journeys. Collaborate with a dedicated team of professionals, driving growth and innovation at every step.

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