Node.js development services build server-side applications in JavaScript or TypeScript on the Node.js runtime, typically fast APIs, real-time applications, microservices and integrations. Node.js handles many simultaneous connections efficiently, and lets teams use one language across front end and back end.
Node.js is ideal for fast, scalable backends that handle many concurrent connections. We build REST and GraphQL APIs, real-time chat and notification systems, microservices and serverless functions with Node.js, Express and NestJS.
Our backend engineers focus on clean architecture, security and observability, with automated tests and CI/CD pipelines. Using JavaScript or TypeScript across front end and back end also speeds up delivery for full-stack teams.
End-to-end Node expertise delivered by experienced engineers.
We follow an agile delivery model with short sprints, transparent reporting, code reviews and automated testing. Engage us for a fixed-scope project, a dedicated team or ongoing support, and scale as your needs evolve. Need a dedicated specialist? Hire experienced developers from our team.
We build with Node.js and TypeScript using Express, NestJS and Fastify; GraphQL with Apollo; Socket.IO and WebSockets for real-time features; PostgreSQL, MongoDB and Redis for data; and Jest for testing. Services run in Docker containers, serverless functions on AWS Lambda or Azure Functions, or Kubernetes, on AWS and Azure. Front ends typically use React, Next.js or Vue.js.
Choose a fixed-scope project or hire web developers with Node.js experience. Node.js is often used for data and API integration and for the back ends of chatbots and AI assistants.
Planning an API or real-time application? Tell us about your project, and we will suggest the right architecture. Start your AI journey.
Last updated: October 2026 · Prominent AI Services LLP engineering team
Common questions about our Node services.
Yes. With TypeScript, NestJS and proper architecture, Node.js powers large-scale enterprise systems reliably.
PostgreSQL, MySQL, MongoDB, Redis and SQL Server, selected according to your data and scaling needs.
Yes. Its event-driven model is excellent for chat, live updates, notifications and collaborative features.
Cost depends on features, integrations and scale. Small APIs and integrations are fixed-price projects; larger applications are estimated after a short discovery phase.
Node.js is a strong choice for real-time features, APIs and teams already using JavaScript. Python is often better for data and AI-heavy work. Many systems use both, each where it fits best.
Yes. We use TypeScript by default because it catches errors early and makes large codebases easier to maintain.
Yes. We review the code, dependencies, security and tests, fix urgent issues and then continue development and support.