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

Posted Yesterday
San Jose, CA, USA
In-Office
130K-145K Annually
Senior level
Information Technology • Professional Services
The Role
Build, deploy, and maintain end-to-end AI applications: integrate ML models, create backends and REST APIs, develop responsive frontends, manage MLOps and containerized deployments, and collaborate with data scientists and product teams to productionize AI features.
Summary Generated by Built In
Company 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.

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, 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

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

 *** NO C2C ***

Skills Required

  • Proven experience (5-8 years for mid level; 9+ years for senior level) as a Full Stack Developer with AI model deployment
  • Strong proficiency in Python and frameworks like FastAPI or Django
  • Experience with modern JavaScript frameworks and tooling (React, Vue, Next.js, Node.js, Plotly Dash)
  • Familiarity with AI model integration (OpenAI API, LangChain, PyTorch, TensorFlow, scikit-learn)
  • Experience in Cloud platforms (AWS, GCP, Azure) and container technologies (Docker, Kubernetes, Cloud Run)
  • Manage relational and NoSQL databases
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field
  • Experience with generative AI and agentic architectures
  • Understanding of data privacy and security in AI applications
  • PhD in Computer Science, AI, ML, or related field
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The Company
HQ: Buena Park, CA
24 Employees
Year Founded: 1976

What We Do

Woongjin Inc. is a Korean based company in the US providing unique IT Consulting and Recruiting/Staffing services.

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