Jobs / Woo***

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

Woo*** · San Jose, CA, United States
Visa sponsorship details are locked. Unlock company name and apply link with .
San Jose, CA, United States130,000-145,000 USD/yearlyOnsite
Remuneration
130,000-145,000 USD/yearly
Location
San Jose, CA, United States
Visa sponsorship
Sponsors visa

Job summary

Company Description For More Open Positions Visit us at: http://recruiting.woongjininc.com/ Our Mission Woo***. 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.

Benefits

Medical InsuranceVision InsuranceDental Insurance401(k)Paid Sick hoursJob DescriptionWill be responsible for building, testing, and scaling AI-driven 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
  • 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 ***

Responsibilities

  • We are motivated by the sense of responsibility and servant leadership.
  • 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

Skills

Leadership

Degrees

AssociateDegreePhD

Industry

EducationEnergyInsurance

Company size

Smb

Contract length

8 years

Security clearance

Confidential