I will build custom ai middleware and secure API integrations with fastapi


About this gig
In 2026, simply connecting an API is not enough. Direct frontend-to-LLM calls are a security nightmare and impossible to scale. If you want a production-ready AI application, you need a Robust Middleware Layer that handles the heavy lifting between your users and the AI models.
I build high-performance AI Backends and Custom Middleware using FastAPI and Node.js. My systems act as a secure gateway, ensuring your application stays fast, costs stay predictable, and your API keys remain hidden from the world.
Why Your Business Needs This:
- Cost and Rate Control: I implement advanced Rate Limiting to prevent expensive overages and 429 errors.
- Bulletproof Security: Your API keys are never exposed. I use secure vaulting to protect your credentials.
- Data Transformation: My middleware cleans and validates data, reducing token waste and improving quality.
- Ultimate Scalability: Built on asynchronous architectures, your backend will handle thousands of concurrent requests.
I focus on Error Propagation Handling, Caching Strategies to save you money, and Async Task Queues for background processes.
Message me today to discuss your backend architecture.
Get to know Julio Martinez
Full Stack Developer
- FromVenezuela
- Member sinceApr 2017
- Last delivery12 months
Languages
Spanish, English
Other Software Development Services I Offer
FAQ
Which stack do you use for the middleware?
I primarily work with **FastAPI (Python)** for its speed and native support for asynchronous operations, or **Node.js (TypeScript)** if your ecosystem requires it. Both are optimized for high-concurrency AI workloads.
How do you ensure my API keys are safe?
I never hardcode keys. I implement secure storage using `.env` files, AWS Secrets Manager, or HashiCorp Vault. The keys stay on the server side and are never sent to the client/browser.
What happens if I hit my LLM rate limits?
My middleware includes a **Token Bucket or Leaky Bucket algorithm**. If you exceed your limit, the middleware gracefully queues the requests and retries them automatically, preventing your app from crashing or showing errors to the user.
Do you handle long-running AI tasks (e.g., generating a 50-page report)?
Yes. For the Premium package, I implement Background Workers (Celery). This allows the user to start a task, close the browser, and receive a notification when the AI is finished, without timing out the connection.
Can you integrate multiple AI providers (OpenAI, Gemini, Anthropic) at once?
Absolutely. I can build a "Model Router" that automatically switches between providers based on cost, availability, or the specific type of task required.
