AI Full Stack Developer & Architect

SBT Global, Inc.

Job Location:

San Jose, CA - USA

Monthly Salary: Not Disclosed

Posted on: 2 days ago

Vacancies: 1 Vacancy

Job Summary

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 .
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 :

Required Qualifications & Skills

Experience: Proven experience(58 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 ( 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: Bachelors or Masters 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.

Remote Work :

Employment Type :

Contract

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.Backen...

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 .
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.