Hire FastAPI Developers | Nearshore Software Development

FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints. You need an expert who can leverage FastAPI's speed and developer-friendly features to build high-performance, well-documented APIs. Our vetting process, powered by Axiom Cortex™, finds Python engineers who are masters of modern API development. We test their ability to use FastAPI's asynchronous capabilities, dependency injection system, and automatic documentation features to build robust and scalable services.

Is your API slow and struggling to handle concurrent requests?

The Problem

Traditional synchronous Python web frameworks can be slow and inefficient, struggling to handle a high volume of concurrent requests, which leads to a poor user experience.

The TeamStation AI Solution

We vet for engineers who are experts in asynchronous programming with FastAPI. They must demonstrate the ability to build non-blocking APIs that can handle a massive number of concurrent requests with low latency, leveraging Python's `async/await` syntax.

Proof: High-Performance Asynchronous APIs

Is your API documentation always out of date?

The Problem

Manually writing and maintaining API documentation is a time-consuming and error-prone process, leading to documentation that is often incomplete or incorrect.

The TeamStation AI Solution

Our engineers are proficient in FastAPI's automatic documentation features. They are vetted on their ability to use Python type hints and Pydantic models to automatically generate interactive API documentation (via Swagger UI and ReDoc) that is always up-to-date.

Proof: Automatic and Interactive API Documentation

Core Competencies We Validate

Asynchronous programming with `async/await`

Pydantic for data modeling and validation

Dependency Injection system

API documentation with OpenAPI

Testing asynchronous applications

Our Technical Analysis

The FastAPI evaluation focuses on building high-performance, modern APIs. Candidates are required to build an asynchronous API from scratch, demonstrating their mastery of FastAPI's features. A critical assessment is their ability to design a clean and efficient data model using Pydantic. We also test their knowledge of the dependency injection system and their ability to write testable code. Finally, we assess their understanding of how to deploy and scale a FastAPI application in a production environment.

Related Specializations

Python Django Docker

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