MCPNew: Mokaru MCP server is live
Sbtglobalinc

Sbtglobalinc

AI Full Stack Developer & Architect

Role

AI Full Stack Developer & Architect

Job type

Contract

Posted

Yesterday

Share this job

Salary

Not disclosed by employer

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 PyTorchTensorFlow, 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 ReactVue, or Next.js.
  • MLOps & Deployment: Manage end-to-end life cycles for production, including deployment workflows using KubernetesCloud 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 & 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

All your information will be kept confidential according to EEO guidelines.

Resume ExampleCover Letter Example

Explore more