Ai Full Stack Developer

Job Title: Middle AI Full Stack Developer

San Jose, CA

Work Hours: 8:00\~17:00 CST

Job Summary

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.

Required Qualifications \& Skills

• Experience:

Proven experience (5\~8 yrs. for Middle 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.