Hire elite FastAPI developers.
High-performance async APIs, AI-enhanced.
Pre-vetted FastAPI engineers building blazing-fast async APIs with Pydantic, SQLAlchemy, and modern Python tooling.
42+
Engineers available
4.9/5
Clutch rating
$3,200
Avg. monthly rate
Featured developers
Pre-vetted engineers ready to join your team
How it works
Discovery call
We understand your stack, culture, and specific technical needs in a 30-minute call.
Profile delivery
Within 48 hours, you receive pre-vetted developer profiles matching your requirements.
Interview & select
Interview your top candidates. We handle scheduling and technical pre-screening.
Onboarding
Your developer starts within 15 days, fully equipped with access, tools, and AI training.
The Quo AI Advantage
Every Quo developer is trained in AI pair-programming tools that boost productivity by 45%.
Cursor
AI-native code editor for intelligent code generation and refactoring
GitHub Copilot
AI pair programmer for real-time code suggestions and completions
Claude
Advanced AI assistant for architecture decisions, debugging, and documentation
ChatGPT
Versatile AI for brainstorming, research, and problem-solving
Core capabilities
FastAPI is the fastest-growing Python framework, powering APIs at Uber, Netflix, and Microsoft. Built on modern Python async/await, it delivers performance comparable to Node.js and Go while maintaining Python's expressiveness. Our FastAPI developers build production-grade APIs with automatic OpenAPI documentation, Pydantic v2 for lightning-fast data validation, and async database drivers for maximum throughput. They design microservices architectures, implement WebSocket endpoints, and integrate with message brokers. Enhanced with AI pair-programming tools, they deliver APIs that handle thousands of concurrent connections efficiently. From real-time data platforms to ML model serving endpoints, our LATAM engineers bring async Python expertise to your team.
Interview questions to ask
Use these questions to evaluate candidates — or let us handle the technical vetting.
Explain the difference between FastAPI and Django. When would you choose each?
Expected answer
FastAPI is async-first, lightweight, and optimized for API development with automatic OpenAPI docs and Pydantic validation. Django is a batteries-included framework with ORM, admin panel, authentication, and template engine. Choose FastAPI for: high-performance APIs, microservices, ML model serving, real-time applications. Choose Django for: full web applications with admin, content management, rapid prototyping with built-in features. Many teams use both: Django for the main application and FastAPI for performance-critical microservices.
How does FastAPI handle dependency injection and why is it important?
Expected answer
FastAPI uses the Depends() system to inject dependencies into route handlers. Dependencies can be functions or classes that return values — e.g., database sessions, current user, pagination params. They are resolved hierarchically and can depend on other dependencies. This enables: clean separation of concerns, easy testing (override dependencies in tests), automatic resource cleanup (yield dependencies), and request-scoped caching. The DI system is type-safe and integrates with Pydantic for validation.
How would you implement rate limiting and caching in a FastAPI application?
Expected answer
Rate limiting: use slowapi (built on limits library) with Redis backend for distributed rate limiting. Configure per-route limits with decorators. Return 429 with Retry-After header. Caching: Redis with fastapi-cache2 for response caching with TTL. Use cache-aside pattern for database queries. For invalidation: tag-based cache invalidation or event-driven invalidation with pub/sub. Key consideration: cache serialization with orjson for performance, and vary cache keys by user/permissions when needed.
Common hiring mistakes to avoid
Hiring Python developers without verifying async/await expertise — FastAPI's performance depends entirely on proper async patterns.
Not testing Pydantic v2 knowledge — data validation and serialization are core to FastAPI development.
Ignoring AI tooling — FastAPI developers using Cursor generate endpoint boilerplate and Pydantic models significantly faster.
Frequently asked questions
How much does it cost to hire a FastAPI developer through Quo?
FastAPI developers at Quo start at $1,800/mo for juniors, $3,200/mo for mid-level, and $4,500/mo for seniors. Includes AI training, Tech Lead support, DevOps, and 24/7 support.
Are FastAPI developers in demand in 2026?
FastAPI is the fastest-growing Python framework with 200% growth in job postings since 2024. Its async performance and automatic documentation make it the top choice for new Python API projects.
How quickly can I hire a FastAPI developer?
Pre-vetted FastAPI profiles delivered in 48 hours. Full process takes 15 days.
What makes Quo's FastAPI developers different?
AI-enhanced productivity, deep understanding of async Python patterns, production experience with high-throughput APIs, and expertise in Pydantic v2 and modern Python tooling.
Explore related technologies
Ready to hire?
Book a free 30-minute call. We'll match you with pre-vetted developers in 48 hours.