Hire a FastAPI Developer

Get a pre-vetted FastAPI expert for high-performance async Python APIs with auto-generated documentation — AI-managed delivery.

Role: FastAPI Developer (Backend)

FastAPI developers build high-performance async APIs using Python's fastest web framework. Our vetted talent handles Pydantic validation, dependency injection, async database access, and auto-generated OpenAPI documentation.

Skills We Vet

  • FastAPI & Pydantic: Expert
  • Async Python (asyncio): Expert
  • SQLAlchemy & Database Integration: Advanced
  • OpenAPI/Swagger Documentation: Advanced

Typical Projects

  • ML Model API: REST API serving machine learning models with async inference, batching, and monitoring. (40-100 hrs)
  • Microservice: High-performance microservice with async I/O, background tasks, and health monitoring. (30-80 hrs)
  • Data Platform API: API for data platform with complex filtering, pagination, and real-time streaming endpoints. (60-140 hrs)

Hourly Rates

  • AI PM: $2/hr — AI agent manages the project end-to-end with automated code reviews, testing, and deployment.
  • Live PM: $3/hr — A human project manager coordinates your project with AI-augmented development workflows.
  • Live PM + Dev: $5/hr — Dedicated human PM plus senior developer oversight for mission-critical projects.

Hiring Process

  1. Submit Your Requirements: Describe your project scope, technical needs, and timeline. Our AI analyzes your requirements and identifies the ideal skill profile.
  2. AI-Matched Talent Selection: Our platform matches you with pre-vetted developers whose expertise aligns with your tech stack, industry, and project complexity.
  3. Technical Vetting & Trial: Review candidate profiles, past work, and skill assessments. Start with a small paid trial task to validate the fit before committing.
  4. Kick-off & Ongoing Delivery: Once confirmed, your developer is onboarded immediately. Track progress via real-time dashboards, milestone reviews, and daily stand-ups.

Frequently Asked Questions

Why choose FastAPI over Django?
FastAPI excels at high-performance async APIs, automatic documentation, and type validation. Django is better for full-featured web applications with admin panels and ORM.
Is FastAPI good for ML APIs?
Yes. FastAPI is the go-to framework for serving ML models due to its async support, performance, and easy integration with NumPy/Pandas.
Can they handle WebSockets?
Yes. Our FastAPI developers build WebSocket endpoints for real-time features alongside traditional REST endpoints.