Hire expert
FastAPI Developers
for any job

Millions of people use Freelancer to turn their ideas into reality.

Hire a top FastAPI Developer now

Trusted by leading brands and startups

FastAPI Developers are ready — get bids in seconds

Post your project for free and connect with skilled FastAPI Developers ready to start today. Compare bids, ratings and portfolios, and only pay when you're happy with the work.

Live on Freelancer right now

~20 sec

to first bid

126+

bids per project

220+

FastAPI Developers online

Not sure who to pick? Every FastAPI Developer comes with ratings, reviews and a portfolio you can compare before you hire.

Post your project — it's free

No upfront cost · pay only when you're happy with the work

Hire FastAPI Developers

Muhammad A.

4.7

5.7

97%

Perth, Australia

$50 USD per hour

I provide complete IT services tailored to modern business needs, with a strong focus on Blockchain development, Artificial Intelligence, Machine Learning, Big Data, Web and Mobile app development, E-commerce platforms, and custom software solutions. I specialize in blockchain technologies including DEXs, DApps, NFTs, Web3, smart contracts, and DeFi applications across platforms like Ethereum, BSC, and Polygon. For web and mobile development, I work with Java, Python, PHP, and top JavaScript frameworks such as React.js, Node.js, Angular, and Vue.js—alongside mobile technologies like Flutter and React Native. My e-commerce solutions are built on platforms like WooCommerce, Shopify, and Magento, while my AI and machine learning services leverage tools such as TensorFlow and AWS to create intelligent, data-driven systems. If you're looking for secure blockchain integration, modern web and mobile development, scalable e-commerce systems, or custom AI-driven software, I’m here to help turn your ideas into powerful digital products.

FastAPI PHP C Programming Java JavaScript

View Profile

Benjamin S.

5.0

6.8

100%

Geelong, Australia

$50 USD per hour

Thank you for visiting my profile. I am an AI Developer with over ten years of professional experience in software engineering. I began my career as a Full Stack Web and Mobile Engineer, working extensively with technologies such as JavaScript, TypeScript, React, C#, Python, and modern backend and cloud platforms, and I have successfully delivered scalable web and mobile applications across industries including business, education, e-commerce, and enterprise environments. In recent years, my professional focus has shifted fully toward the artificial intelligence field, where I have built strong, hands-on expertise designing and deploying production-ready AI solutions. I specialize in developing AI-powered systems such as intelligent chatbots, AI agents, and virtual assistants using GPT and modern large language models. My experience includes advanced prompt engineering, fine-tuning and training machine learning models, retrieval-augmented generation (RAG), vector databases, embeddings, semantic search, and contextual memory systems. I design and implement end-to-end AI workflows using frameworks such as LangChain, integrating AI capabilities seamlessly into real-world products and business processes. I also develop AI-driven automation systems, including intelligent bots and workflows for platforms such as WhatsApp, Slack, and Telegram, as well as scalable business automation solutions using tools like n8n and Zapier to improve efficiency and customer engagement. My background as a full-stack engineer allows me to build AI solutions that are not only intelligent but also reliable, secure, and scalable. I am highly experienced in deploying AI systems to cloud environments such as AWS, Google Cloud Platform, and Firebase, and in integrating AI services into web and mobile applications. In addition, I work with AI-enhanced Web3 and blockchain solutions, including smart contracts, decentralized applications, AI-assisted trading bots, and automation within Ethereum, EVM-based ecosystems, and Solana. I am committed to delivering high-quality AI solutions with clear communication, timely delivery, and long-term technical support. If you are looking for an AI developer with a strong engineering foundation and proven AI expertise, please feel free to send me a private message to discuss your project.

FastAPI PHP ASP Java JSP

View Profile

Sajat Prasad S.

5.0

5.4

100%

banya, Australia

$50 USD per hour

Exceeding expectations. Building products that move businesses forward. As I'm a senior software engineer, I led a full-stack software engineering team focused on delivering scalable, high-performance digital products across web, mobile, cloud, AI, and automation platforms. I help startups, growing businesses, and product teams design, build, and scale production-ready applications with modern architecture and practical AI integration. With 7+ years of hands-on engineering experience and a broader team with 10+ years delivering digital products, we build software that is scalable, maintainable, secure, and aligned with business outcomes from day one. From architecture and MVP development to deployment and long-term scaling, we focus on turning ideas into reliable products that improve operations, automate workflows, and create better user experiences. What We Deliver AI-powered business automation and workflow systems Custom web applications and SaaS platforms Cross-platform mobile applications Scalable backend systems, APIs, and cloud architecture E-commerce solutions with Shopify, BigCommerce, WooCommerce, and Magento Product optimization, testing, monitoring, and CI/CD UI/UX-focused product development Blockchain and dApp product development AI & Automation Expertise I specialize in applying AI where it creates measurable product value: Intelligent workflow automation LLM-powered assistants and conversational systems Recommendation engines and personalization Predictive analytics and data-driven product features Integration with OpenAI APIs and custom ML services End-to-end AI pipelines from data processing to deployment Core Strengths End-to-end ownership From product planning and system architecture to deployment and scaling. Scalable architecture Built for performance, maintainability, and long-term growth. Business-first engineering Technology choices focused on speed, cost-efficiency, and product outcomes. Reliable execution Clear communication, clean code, and practical delivery. If you need a software engineer that can architect, build, and scale modern digital products — while integrating practical AI capabilities where they create real business value — I'm ready to help. Thanks

FastAPI PHP Java JavaScript Python

View Profile

Vishal Ashwani M.

4.7

6.4

100%

PERTH, Australia

$82 USD per hour

For over two decades, I’ve been engineering software that doesn’t just work — it performs, scales, and feels effortless. I specialise in AI-driven software engineering using Python, JavaScript, and AWS, building everything from fast APIs to full end-to-end SaaS platforms. Front-end to back-end, I turn ideas into smooth digital experiences. SQL or NoSQL — I design and optimise databases that run clean and handle real load. APIs & automation — I build scalable REST services and workflow automation that keep products running smoothly. My approach is simple: engineer clean systems, automate the boring parts, and make everything feel seamless in the real world — from the UI to the database to the cloud. Over the past few years, I’ve been working hands-on with AI across practical, production-ready use cases: chatbots, trading bots, analytics tools, talking avatars, object detection, and image generation. My focus is always the same - making AI engine that actually get used, make sense, and deliver value to the product. Whether it’s Python microservices, JavaScript front-ends, AWS cloud architecture, or building a full SaaS system from scratch, I aim for clean engineering and a result that feels remarkable in the real world. Cheers, Vishal Maharaj

FastAPI PHP C Programming Java JSP

View Profile

Nicholas S.

5.0

4.4

100%

Edgewater, Australia

$60 USD per hour

I'm a full stack developer with a focus on LLM applications. I am competent in Python (FastAPI, Flask & Langchain), JavaScript (Next.js, React & React Native). My preferred database is Supabase. My website: https://extensa.agency

FastAPI Python Amazon Web Services Node.js React.js

View Profile

Darren L.

5.0

1.2

100%

Como, Australia

$25 USD per hour

I build AI-powered applications and full-stack systems that solve real business problems — from intelligent chatbots and automation pipelines to production-ready mobile and web apps. My work spans AI integrations (OpenAI, LangChain), workflow automation (n8n, Zapier), mobile development (React Native, Flutter), and full-stack builds (Next.js, Django, Node.js) with AWS deployments. I've delivered across wellness, AI infrastructure, and e-commerce — working with clients who need a developer that can think through a problem, build the solution, and ship it cleanly. If you need someone who can take a concept from idea to deployed product, let's talk.

PHP Python Linux Mobile App Development Amazon Web Services

View Profile

See more FastAPI Developers

Clients rate our FastAPI Developers

4.9 out of 5

from 25,174 reviews

How to hire a great freelance FastAPI Developer

A FastAPI developer is a Python backend engineer who builds high-performance web APIs and microservices using the FastAPI framework, leveraging async I/O, type hints, and automatic OpenAPI documentation. Hiring a skilled FastAPI developer means getting production-ready REST and GraphQL endpoints that handle high concurrency, integrate cleanly with databases, and ship with built-in validation and interactive Swagger docs out of the box.

What does a FastAPI developer do?

FastAPI developers design, build, and deploy backend services in Python using the FastAPI framework. They translate business requirements into clean API contracts, implement authentication and data layers, and ship services that scale under load. Because FastAPI is built on Starlette and Pydantic, these engineers work fluently with async Python, type-driven validation, and ASGI servers like Uvicorn and Gunicorn.

The commercial value is straightforward. A well-built FastAPI backend reduces latency, cuts cloud costs through async concurrency, and ships with auto-generated documentation that speeds up frontend and mobile integration. For startups validating an MVP or enterprises modernizing legacy Flask or Django services, a FastAPI specialist delivers measurable performance gains and faster time-to-market.

Core deliverables from a FastAPI freelancer

A FastAPI engineer handles the full backend lifecycle, from architecture to deployment. Typical deliverables include:

RESTful and GraphQL API endpoints with Pydantic schema validation

Async database integration using SQLAlchemy 2.0, SQLModel, Tortoise ORM, or MongoDB with Motor

JWT, OAuth2, and API key authentication flows, including role-based access control

Background task processing with Celery, RQ, or FastAPI's built-in BackgroundTasks

WebSocket endpoints for real-time features like chat, notifications, and live dashboards

Microservices architecture with inter-service communication via REST, gRPC, or message brokers like RabbitMQ and Kafka

Automatic OpenAPI and Swagger UI documentation

Unit and integration tests with pytest, pytest-asyncio, and HTTPX

Docker containerization, Kubernetes manifests, and CI/CD pipelines

Performance tuning, caching with Redis, and rate limiting

Migration from Flask, Django REST Framework, or Express.js to FastAPI

Tools and technologies in the FastAPI stack

A capable FastAPI developer is comfortable across the surrounding Python ecosystem. Expect proficiency with:

Frameworks and libraries: FastAPI, Starlette, Pydantic v1 and v2, SQLAlchemy, SQLModel, Alembic for migrations

ASGI servers: Uvicorn, Hypercorn, Gunicorn with Uvicorn workers

Databases: PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch

Message queues and tasks: Celery, RabbitMQ, Kafka, Redis Streams

Testing: pytest, pytest-asyncio, HTTPX, Locust for load testing

DevOps: Docker, Kubernetes, GitHub Actions, GitLab CI, AWS, GCP, Azure, Terraform

Monitoring: Prometheus, Grafana, Sentry, OpenTelemetry, structured logging with Loguru

AI and ML integration: serving models with PyTorch, TensorFlow, Hugging Face Transformers, and LangChain through FastAPI endpoints

Industries and use cases

FastAPI has become a default choice for performance-sensitive Python backends. Common use cases include:

SaaS platforms needing scalable multi-tenant APIs

Fintech services requiring strict data validation and audit trails

Healthcare and biotech applications with HIPAA-aware data handling

AI and machine learning model serving, including LLM inference APIs

E-commerce backends, payment integrations, and inventory systems

IoT data ingestion endpoints handling high-throughput sensor data

Real-time messaging, gaming backends, and live analytics dashboards

Internal tooling, ETL pipelines, and admin APIs

How to evaluate FastAPI candidates

Strong FastAPI freelancers show evidence of production deployments, not just tutorial-level projects. Look for:

Public GitHub repositories featuring async Python, dependency injection patterns, and clean project structure

Experience deploying FastAPI behind Nginx, on AWS ECS, Lambda, Google Cloud Run, or Kubernetes

Familiarity with Pydantic v2 migration, async SQLAlchemy, and Alembic migrations

Demonstrated knowledge of OAuth2, JWT, CORS, and common API security pitfalls

Test coverage practices and CI/CD pipeline setup

Strong written communication for documenting endpoints and onboarding teammates

Sample interview questions you can use directly:

How do you structure a large FastAPI project with multiple routers, dependencies, and database sessions?

Walk me through how you would implement OAuth2 with refresh tokens and role-based access control in FastAPI.

What is the difference between def and async def endpoints in FastAPI, and when would you choose one over the other?

How do you handle long-running tasks in a FastAPI service without blocking the event loop?

How would you migrate an existing Flask or Django REST Framework API to FastAPI with minimal downtime?

Why hire FastAPI developers on Freelancer.com

Freelancer.com gives you access to a global pool of Python backend engineers with verified profiles, public ratings, and portfolios you can review before committing. Whether you need a single endpoint built over the weekend or a full microservices architecture delivered over months, you can post a project on Freelancer.com and receive competitive bids from FastAPI specialists across every time zone. Clients set their own budgets, compare proposals side by side, and use Milestone Payments to release funds only when work meets the brief. The scale of freelancers on Freelancer.com means you can match niche requirements, like FastAPI plus LLM serving or FastAPI plus high-frequency trading APIs, without compromise.

Ready to ship a fast, well-documented Python backend? Post a project on Freelancer.com today and connect with skilled FastAPI developers ready to deliver.

What are the steps to hiring a freelance FastAPI developer?

Hiring a FastAPI developer goes smoothly when you treat the brief as a technical specification rather than a wishlist. The clearer you are about endpoints, data models, integrations, and deployment targets, the better the bids you will receive. Here is the process.

Step 1: Post your project on Freelancer.com

Your project post is the single biggest determinant of bid quality. A precise FastAPI brief filters out generalists and attracts engineers who can hit the ground running on async Python, Pydantic schemas, and your specific database stack. Head to the post project page , where you fill in the brief, scope, timeline, and budget before publishing the project for freelancers to bid on.

List the API endpoints or feature areas you need built, with expected request and response shapes

Specify the database (PostgreSQL, MongoDB, MySQL) and ORM preference if you have one

Note authentication requirements such as JWT, OAuth2, or third-party providers

State your deployment target, whether AWS, GCP, Azure, a VPS, or Kubernetes

Include integrations with payment gateways, ML models, or external APIs

Define timeline milestones, testing expectations, and documentation deliverables

Step 2: Review bids from freelancers

Bids are short proposals, not just price quotes. A strong FastAPI developer will reference your stack, raise sensible questions about edge cases, and propose a realistic delivery sequence. Read each proposal carefully and shortlist candidates whose technical reasoning matches your brief.

Check that the bid addresses your specific database, auth, and deployment context

Look for clarifying questions about Pydantic models, async behavior, or third-party integrations

Assess whether the proposed timeline accounts for testing, code review, and documentation

Note any sample FastAPI repositories or live API documentation links attached to the proposal

Use Freelancer.com chat to ask candidates how they would structure routers, handle migrations, or test endpoints before shortlisting

Step 3: Evaluate freelancers and award the project

The final decision blends proposal quality with profile evidence. For FastAPI work, weight portfolio depth in async Python, public GitHub activity, and consistency of reviews across past backend projects. One excellent project is encouraging, but a steady track record of delivered APIs is more reliable.

Review portfolio items showcasing FastAPI, async patterns, and clean project structure

Check star ratings and the volume of completed Python or backend projects

Read written client reviews for signals about communication and code quality

Confirm verified payment method, completion rate, and on-time delivery rate

Award the project to your chosen freelancer and set up Milestone Payments so funds release only when each agreed deliverable is approved

How long does a FastAPI project typically take?

A simple CRUD API with authentication and database integration can be built in one to two weeks. Larger microservices architectures, real-time systems, or migrations from another framework usually run four to twelve weeks depending on scope, integrations, and testing requirements.

What is the difference between a FastAPI developer and a Django or Flask developer?

All three are Python web developers, but FastAPI is built specifically for async, high-performance APIs with automatic validation and OpenAPI docs. Django is a full-stack framework with an ORM and admin built in, while Flask is a minimal sync framework. A FastAPI specialist focuses on async patterns, type-driven design, and API-first architecture.

Can I hire a FastAPI freelancer for a one-off project?

Yes. Many clients hire FastAPI developers for fixed-scope projects such as building a single API, integrating a payment provider, serving a machine learning model, or migrating an existing service. You can also engage them on an ongoing basis for maintenance and feature work after launch.

Do I need a FastAPI freelancer or a full backend agency?

For most API projects, a single experienced FastAPI freelancer is sufficient and more cost-efficient than an agency. If your project also requires dedicated DevOps, frontend, mobile, and design talent, you can assemble a team of specialists on Freelancer.com rather than paying agency overhead.

Should my FastAPI developer also know DevOps?

At minimum, they should be comfortable with Docker, environment configuration, and deploying to a cloud platform. For complex setups involving Kubernetes, infrastructure-as-code, or multi-region deployments, you may want to hire a separate DevOps freelancer to work alongside them.