Node.js Backend Developer Required for API Integrations
Budget: $25 – $50 USD
Backend Developer (Node.js, API Integration)
Job Title: Backend Developer for AI-Driven Construction Estimation Platform
Job Description: We are looking for an experienced Backend Developer proficient in Node.js to develop the backend of a construction estimation platform. You will work with APIs such as Matterport, Google Vision, and Stripe, and handle the server-side logic for real-time pricing and AI-driven estimates.
Key Responsibilities:
Develop backend services using Node.js and Express.
Integrate APIs (Matterport for 3D models, Google Vision for AI detection, Stripe for payments).
Implement RESTful APIs for frontend communication.
Manage the database (MongoDB or PostgreSQL) for storing models and estimates.
Ensure scalability, security, and performance.
Requirements:
Be able to work with a team and communicate well.
Expertise in Node.js, API integration, and database management.
Experience working with RESTful APIs.
Familiarity with AWS or Google Cloud services for deployment.
Proficiency with GitHub for version control.
Timeline: 10-12 weeks starting in November.
Job Title: Backend Developer for AI-Driven Construction Estimation Platform
Job Description: We are looking for an experienced Backend Developer proficient in Node.js to develop the backend of a construction estimation platform. You will work with APIs such as Matterport, Google Vision, and Stripe, and handle the server-side logic for real-time pricing and AI-driven estimates.
Key Responsibilities:
Develop backend services using Node.js and Express.
Integrate APIs (Matterport for 3D models, Google Vision for AI detection, Stripe for payments).
Implement RESTful APIs for frontend communication.
Manage the database (MongoDB or PostgreSQL) for storing models and estimates.
Ensure scalability, security, and performance.
Requirements:
Be able to work with a team and communicate well.
Expertise in Node.js, API integration, and database management.
Experience working with RESTful APIs.
Familiarity with AWS or Google Cloud services for deployment.
Proficiency with GitHub for version control.
Timeline: 10-12 weeks starting in November.