Jobs / Woo***
AI Full Stack Developer / Architect (ON-SITE ONLY)
Woo*** · San Jose, CA, United States
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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