Hire AI Agents for FastAPI Development

Get AI that builds like a senior FastAPI expert for high-performance async Python APIs with auto-generated documentation — AI-powered delivery.

Role: FastAPI Developer (Backend)

FastAPI developers build high-performance async APIs using Python's fastest web framework. The platform's AI build team 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 — Fully automated tier — the platform's AI agents build and manage the project end-to-end with code reviews, testing, and deployment.
  • Live PM: $3/hr — Adds optional human project-manager oversight on top of the AI build team for extra accountability.
  • Live PM + Dev: $5/hr — Adds a higher concurrency, advanced controls, and premium support for mission-critical projects.

Hiring Process

  1. Submit Your Requirements: Describe your project scope, technical needs, and timeline. The platform's AI analyzes your requirements and assembles the right build plan.
  2. Pick a Plan: Choose a plan tier — fully automated AI PM, or add optional higher concurrency and advanced controls. Pay per milestone or subscribe to a prepaid-credits plan.
  3. AI Scoping & Estimate: The AI scopes the work, breaks it into milestones with clear acceptance criteria, and gives you a fixed price before any code is written.
  4. Build & Ongoing Delivery: The AI team starts building immediately. Track progress via real-time dashboards, milestone reviews, and automated status updates.

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. The platform's AI agents build WebSocket endpoints for real-time features alongside traditional REST endpoints.