Node.js Development
AI model APIs, streaming inference, and backend systems that handle actual traffic
JavaScript on the Server, Done Right
Node.js is the natural backend for AI applications: non-blocking I/O handles hundreds of concurrent model API calls, WebSockets stream inference tokens to clients in real time, and the event loop keeps data pipelines responsive under load. It's not the right choice for every project, but for AI backends, it fits.
We've been building Node.js applications since 2011, back when npm had 5,000 packages instead of 2 million. Now we apply that depth to AI-native backends -- model serving layers, retrieval-augmented generation pipelines, and the real-time infrastructure that connects models to users.
Our Node.js Services
AI Model Serving APIs
REST and GraphQL endpoints that sit in front of your models. Request validation, token-based auth, rate limiting, response caching, and graceful fallbacks when the model is slow or down. The API layer your AI actually needs in production.
Streaming Inference
WebSocket and Server-Sent Event connections that stream model output token by token. We handle reconnection, backpressure, and multi-client fan-out so your users see responses as they generate, not after.
Real-Time Data Pipelines
Ingest, transform, and route data from APIs, webhooks, and message queues into your AI stack. Event-driven Node.js pipelines that keep your models fed with fresh context without blocking anything downstream.
RAG Infrastructure
Retrieval-augmented generation backends: document ingestion, embedding generation, vector store integration, and the orchestration layer that assembles context before every prompt. Built to scale past your first demo.
Authentication & Security
JWT, OAuth2, API key management, and role-based access for AI endpoints. Per-user rate limits, usage metering, and audit trails. Security that works for both human users and programmatic consumers.
Performance Optimization
AI backends have specific bottlenecks: cold model calls, oversized payloads, missing response caches. We profile, find the real problems, and fix them. Then we add monitoring so they stay fixed.
Node.js Technology Stack
Frameworks
- Express.js
- NestJS
- Fastify
- Koa
- Hapi
- AdonisJS
Databases
- PostgreSQL
- MongoDB
- Redis
- MySQL
- Prisma
- TypeORM
Real-Time
- Socket.io
- WebSockets
- Server-Sent Events
- Bull Queue
- RabbitMQ
Testing
- Jest
- Mocha
- Supertest
- Chai
- Cypress
- Playwright
DevOps
- Docker
- Kubernetes
- PM2
- AWS
- Azure
- Google Cloud
Tools
- TypeScript
- ESLint
- Prettier
- Nodemon
- Winston
- Pino
Why Node.js?
Non-Blocking I/O
Node handles many simultaneous connections without spinning up threads for each one. Good for APIs, bad for heavy computation. We'll tell you which you have.
Same Language, Front to Back
JavaScript on both ends means shared validation logic, types, and fewer context switches for your team. It's a real productivity win when it applies.
npm: Blessing and Curse
2 million packages available. Most of them are fine. Some are abandoned or insecure. We know which dependencies are worth taking on.
TypeScript by Default
We write TypeScript, not JavaScript. Compile-time type checking catches bugs before production. The tooling has matured; the excuses haven't.
Why Choose Convective?
We Build for Production
Demo code is easy. Production code handles errors, logs properly, shuts down gracefully, and doesn't leak memory. We know the difference.
Security Is Built In
Input validation, parameterized queries, rate limiting, dependency auditing: all standard. We don't ship code with obvious vulnerabilities.
We Fix Slow Things
Node.js performance issues usually come from blocking operations, N+1 queries, or missing indexes. We find them. Then we fix them.
DevOps Knowledge Included
Docker, CI/CD, cloud deployment: we handle the infrastructure side too. One team that can take your code from laptop to production.
Trusted by Industry Leaders
Need an AI Backend That Works?
Tell us what you’re building. We’ll tell you whether Node.js is the right backbone for your AI system, and if it is, how we’d architect it.