AI Developer - Full Stack / UI

Princeton IT Services
Camden, NJ, United States
12 days ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Web Interfaces JavaScript (Programming Language) Artificial Intelligence Application Testing User Authentication Cloud Computing Code Review Software Debugging Design of User Interfaces Python (Programming Language) Performance Tuning Azure Machine Learning
+10 more
Software Engineering Web Applications ReactJS Large Language Models Software Security Generative AI Backend AI Platforms Front End Software Development Restful APIs

Job description

We are seeking an AI Developer with UI development experience to support the development of AI-enabled applications and user interfaces. The ideal candidate will be able to integrate AI capabilities into web applications and collaborate with frontend and backend teams to deliver user-friendly solutions. Key Responsibilities

  • Develop and maintain user interfaces for AI-enabled applications.
  • Integrate AI services and capabilities into web-based applications.
  • Build reusable UI components and responsive interfaces.
  • Integrate frontend applications with backend APIs and AI services.
  • Collaborate with UI/UX designers, backend developers, and technical stakeholders.
  • Support application testing, debugging, and performance optimization.
  • Participate in code reviews and follow development best practices.
  • Document application functionality and technical implementation details.

Requirements

  • Experience in frontend or full-stack application development.
  • Proficiency in JavaScript and modern web development concepts.
  • Experience building web interfaces using React or similar frameworks.
  • Understanding of REST APIs and frontend-backend integration.
  • Familiarity with AI-enabled application development and AI service integration.
  • Strong problem-solving, communication, and collaboration skills., * Experience integrating large language models (LLMs) or generative AI services into applications.
  • Familiarity with Azure AI services.
  • Experience with Python or backend development.
  • Knowledge of authentication, application security, and cloud-based deployments.

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