AI Full Stack Developer & Architect

S

SBT Global, Inc.

AI Full Stack Developer & Architect

San Jose, CA
Full Time
Paid
  • Responsibilities

    Job Description

    • 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

    Qualifications

    Required Qualifications & Skills

    • 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.