Hire FastAPI
Hire dedicated FastAPI developers.
FastAPI engineers building typed, async, well-documented services — including the ones serving model inference under latency pressure.
What You Get
What sets these engineers apart.
Pydantic models as the contract
Request and response models that validate at the boundary and generate accurate OpenAPI documentation as a by-product.
Async used correctly
Understanding which dependencies are genuinely async, and that a synchronous database driver in an async route quietly serialises everything.
Dependency injection kept clean
FastAPI's dependency system used for auth, database sessions and configuration, which keeps routes readable and testable.
Core Skills
What they work with.
- FastAPI with async/await throughout
- Pydantic v2 validation and settings
- SQLAlchemy 2.0 async sessions
- OAuth2, JWT and API key authentication
- Background tasks and streaming responses
- Uvicorn and Gunicorn deployment tuning
Engagement
$3,500 / month
Per FastAPI engineer, 160 hours per month, fully dedicated. Deployed within 48 business hours, scale up or down on two weeks' notice, full IP ownership from the first commit.
FAQ
Common questions.
Is FastAPI suitable for production?
Yes, widely so. The practical requirements are correct async usage, sensible worker configuration and real observability — all of which are engineering discipline rather than framework limitations.
Can they serve ML models with it?
Yes, and it is a common pattern. Batching, timeout handling and streaming responses for token-by-token output are all standard work.
How does it compare to Django for APIs?
FastAPI is leaner and async-native with better generated documentation. Django gives you far more out of the box. For an API-only service, FastAPI is usually the lighter fit.
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Get In Touch
Tell us what you are building.
Stack, team size, timeline, and what success looks like. We respond within 4 business hours on business days.
Or email info@nimlogixtechnologies.com