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Engineering — API & Backend

API & BackendEngineering

The frontend is what users see. The backend is what makes it work. We build the APIs, databases, and services that power your applications.

AIQSO Backend Engineering builds production APIs with FastAPI, Node.js, and PostgreSQL using microservice architecture, automated documentation, and deployment pipelines for scalable, maintainable backend systems.

Key Takeaways

  • FastAPI for Python-based services with automatic OpenAPI documentation and async request handling
  • Node.js with Fastify for high-throughput webhook receivers, real-time services, and JavaScript-native APIs
  • PostgreSQL with migrations, full-text search, and connection pooling for reliable data persistence
  • Every API ships with JWT auth, rate limiting, input validation, structured logging, and health checks
  • Deployed on Docker containers with CI/CD pipelines for zero-downtime updates

Backend Technology Stack

We choose tools based on the problem, not the trend. FastAPI excels at data processing and AI integration. Node.js handles real-time events and webhook orchestration. PostgreSQL provides the reliability that production data demands.

FastAPI (Python)

Our primary framework for data-intensive APIs. FastAPI generates OpenAPI documentation from type hints, handles async requests natively, and integrates directly with Python ML libraries, Pandas, and LLM SDKs. We use it for AI services, data processing pipelines, document parsing, and analytics endpoints. Pydantic models validate every request and response.

Node.js / Fastify

For APIs that need to handle high volumes of webhooks, real-time WebSocket connections, or JavaScript-native integrations. Fastify is our Node.js framework of choice for its schema-based validation, plugin architecture, and performance benchmarks. We use it for webhook receivers, notification services, and APIs that pair with Next.js frontends.

PostgreSQL

Our default database for structured data. PostgreSQL handles relational queries, full-text search, JSON columns, and transactional integrity. We use Prisma or SQLAlchemy for migrations and query building depending on the application language. Connection pooling via PgBouncer keeps performance consistent under load.

Redis & Celery

Redis serves as our caching layer, session store, and message broker. Celery handles background task processing for long-running operations like report generation, batch email sending, document processing, and scheduled jobs. Together they keep API response times fast while heavy processing runs asynchronously.

API Patterns We Build

Every business application has a backend, whether it is visible or not. These are the patterns we implement most frequently.

REST APIs for Web & Mobile

Versioned REST APIs with consistent response formats, pagination, filtering, and error handling. These serve as the backbone for Next.js frontends, Flutter mobile apps, and third-party integrations. Every endpoint is documented in OpenAPI spec and testable through Swagger UI.

Webhook Receivers & Event Processing

APIs that receive events from Stripe, GitHub, Twilio, CRM systems, and other services. Each webhook endpoint validates signatures, processes payloads idempotently, and dispatches downstream actions through n8n workflows or direct API calls. Failed deliveries retry automatically.

Authentication & Authorization Services

JWT-based authentication with refresh tokens, OAuth2 social login, role-based access control, and API key management. User sessions, permissions, and audit logs are handled by dedicated auth middleware that integrates with any frontend framework.

Data Processing Pipelines

APIs that ingest, transform, and output data in batch or streaming modes. CSV imports, PDF generation, report compilation, and ETL workflows run as background Celery tasks with progress tracking and result storage in PostgreSQL or Redis.

Production-Grade Standards

Every API we ship meets these standards before it reaches production. These are not optional extras.

Input Validation

Pydantic models or JSON Schema validate every request body, query parameter, and path variable before business logic executes.

Error Handling

Structured error responses with consistent formats, appropriate HTTP status codes, and actionable error messages for API consumers.

Rate Limiting

Per-endpoint and per-user rate limits prevent abuse and ensure fair resource allocation across API consumers.

Structured Logging

JSON-formatted logs with request IDs, response times, user context, and error traces for debugging and monitoring.

Health Checks

Dedicated endpoints that verify database connectivity, cache availability, and external service status for load balancers and monitoring.

CI/CD Pipeline

Automated testing, linting, and deployment through GitHub Actions with zero-downtime container restarts on Proxmox or Docker hosts.

Is This Right for You?

When to Use This Service

  • If
    you need an API to power a web app, mobile app, or third-party integrationwe build documented REST APIs with authentication and monitoring included
  • If
    your application needs background processing for heavy tasksCelery and Redis handle async jobs while your API stays responsive
  • If
    you need to integrate AI models into your business logicFastAPI integrates natively with Python ML libraries and LLM SDKs
  • If
    you want to own your backend infrastructurewe deploy on your servers or ours with full code ownership

When This May Not Be the Right Fit

  • If
    you only need a static website with no dynamic dataa Next.js static export with no backend may be sufficient
  • If
    your entire application fits within a SaaS platform like Airtable or Notionavoid custom backend development if off-the-shelf tools meet your needs
  • If
    you need a backend but have no frontend plan yetdesign the user experience first so the API serves actual user needs

Frequently Asked Questions