Hire the Best FastAPI Developers

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Based on 1,505 client reviews
Oleksii K.

Lviv, Ukraine

$40/hr
5.0
2 jobs

I build systems that automate complex workflows, reduce manual work, and scale with YOUR BUSINESS! I have 10+ years of experience in Python backend development, building scalable systems using FastAPI, Flask, and Django. My expertise includes AI/LLM systems, machine learning, data engineering, and cloud infrastructure, as well as DevOps, MLOps, and automation workflows. I focus on delivering production-ready solutions that are reliable, scalable, and built for real-world usage. ๐Ÿ† RECENT PROJECT OUTCOMES ๐Ÿ† โ€ข Data Platform | SaaS: Re-architected a Big Data survey US platform, led legacy system migration ensuring 100% data integrity, built data pipelines with +170% performance improvement, 99.9% uptime, supported 50,000 daily users. โ€ข Real Estate PropTech | AI Agents: Built an AI-powered market price monitoring system with ML models and automated data extraction pipelines. Achieved 94% prediction accuracy, increased data value by 400% through data transformation, saved 500 hours/month, aggregated data from 25 sources. โ€ข E-commerce | Big Data Analytics: Developed ETL pipelines and analytical workflows for large-scale datasets. Achieved +50% pipeline performance, 300% faster processing, handled 10,000,000 records daily, orchestrated 500 automated data tasks/day. โ€ข LegalTech | AI Document processing: Designed an AI-powered document processing system for patent analysis with data extraction. As a result - 80% reduction in manual review, 91% extraction accuracy, saved 150 hours/month for legal teams, processed 20,000 documents/month, reduced processing time from 2 hours to 3 minutes. โ€ข Automotive | Backend & DevOps: Migrated backend infrastructure, implemented automated deployment. Achieved zero-downtime deployments, 70% faster release cycles, reduced deployment time from 30 minutes to 1 minute, integrated 27 external services, supported 3,000 daily active users. โ€ข Healthcare | AI Document processing: Built an AI product from zero for document intelligence. Created PoC in 2 months, MVP in 4 months, 67% faster document processing, supported 10,000 requests/month, reduced manual workload by 700 hours/month. โ€ข Computer Vision | Social Platform: Developed an image classification system with custom neural networks. Achieved 96% model accuracy, processed 100,000 images/day, reduced manual moderation time by 70%. ๐Ÿ“Œ SERVICES (WHAT I CAN BUILD FOR YOU) ๐Ÿ“Œ โ€ข Backend & API Development: Scalable SaaS backends, web platforms and high-performance APIs that support real users and business growth. โ€ข Data & Automation: Data Extraction, data pipelines, analytics systems, and workflow automation that reduce manual work and save time. โ€ข AI / LLM Systems: AI agents, chatbots, Prompt engineering, RAG pipelines, LLM-powered applications, document processing, and AI models that automate decision-making. โ€ข Architecture & Integrations: Microservices and system design with seamless third-party API integrations. โ€ข Cloud & DevOps: Scalable infrastructure, CI/CD pipelines, and high-load systems built for reliability and performance. โœ๏ธ STACK โœ๏ธ โ€ข Backend development: Python, FastAPI, Django, Flask, Django REST โ€ข Data: PostgreSQL, MySQL, MongoDB, SQLite, Snowflake, SQL, PySpark, Pandas โ€ข Cloud: AWS (Lambda, S3, EC2, RDS, API Gateway), GCP, Azure, Docker, Kubernetes โ€ข Streaming: Apache Kafka, Celery, Redis โ€ข AI / LLM: OpenAI, ChatGPT, Claude, Embeddings, LangChain, LangGraph, HuggingFace, RAG โ€ข ML: PyTorch, TensorFlow, Scikit-learn โ€ข Agents & Voice: CrewAI, AutoGen, Deepgram ๐ŸŽฏ WHAT CLIENTS SAY ๐ŸŽฏ โญ๏ธโญ๏ธโญ๏ธโญ๏ธโญ๏ธ "Thanks for exceptional execution and speed. He launched an AI system in record time. Direct impact on our revenue within the first months!" โญ๏ธโญ๏ธโญ๏ธโญ๏ธโญ๏ธ "Best AI/LLM implementation we've seen. One of those rare specialists who can both architect and execute. If your project is complex, this is the person you want on it." ๐Ÿซก ROLES I TAKE ON ๐Ÿซก โ€ข AI / LLM Engineer in Python - building production-ready AI systems, RAG pipelines, and LLM-powered apps โ€ข AI Agent Python Developer - designing multi-agent systems and workflow automation with Python โ€ข Python Backend Developer (FastAPI / Django) - building scalable APIs and SaaS backends โ€ข Machine Learning Engineer in Python - developing predictive models and NLP systems โ€ข Data Engineer (Python) - designing automated ETL pipelines and large-scale data systems โ€ข Cloud / DevOps Engineer (AWS, GCP) - delivering scalable infrastructure and CI/CD pipelines automation โ€ข RAG & Document AI Developer in Python - developing document processing systems, embeddings, and knowledge retrieval โ€ข Python System Architect Developer (Microservices / AI Systems developer) - designing high-load, distributed architectures ๐Ÿ‘‰ Looking to build an AI or LLM-powered system? Click โ€œINVITE TO JOBโ€ to reach out, Iโ€™m happy to discuss your project and suggest the best approach! Choose the best AI engineer and Python developer to build data platforms, APIs, automation systems, and scalable web applications together!

  • FastAPI
  • Machine Learning
  • Data Engineering
  • Python
  • Flask
  • Artificial Intelligence
  • Python Script
  • Product Development
  • PostgreSQL
  • Kubernetes
  • Docker
  • API
  • Deep Learning
  • AI Model Development
  • LLM Prompt Engineering
  • SQL
  • ETL Pipeline
  • Retrieval Augmented Generation
  • API Integration
  • Data Scraping
Sachin M.

Maharagama, Sri Lanka

$25/hr
4.0
7 jobs

I build production AI backends that need to work reliably beyond the demo. I specialize in Python, FastAPI, AI agents, RAG, Celery, PostgreSQL, Redis and AWS, with 5+ years of professional software engineering experience across AI, healthcare and enterprise identity systems. Currently, I work as an Associate Technical Lead at Gapstars on Envision Pharma Group's AI platform, where I build production Python/FastAPI services, multi-agent workflows, asynchronous Celery pipelines, LLM integrations and AWS/Kubernetes infrastructure. Previously, I was a Senior Software Engineer at WSO2, working on enterprise Identity and Access Management systems used by large organizations. My work included OAuth 2.0/OIDC, multi-tenancy, secure webhook infrastructure, distributed systems, performance engineering and cloud deployments. I can help you with: - Production AI agent and LLM backends - Python and FastAPI API development - RAG pipelines and document AI - Celery, Redis and asynchronous processing - PostgreSQL and backend performance optimization - AWS, EKS, Docker and Kubernetes - OAuth 2.0, OIDC and secure authentication - Existing backend debugging, refactoring and architecture I am an AWS Certified Solutions Architect โ€“ Associate and Claude Certified Architect โ€“ Foundations. I also bring a strong engineering and research background: MSc Advanced Software Engineering with Distinction, MBA, four IEEE publications as lead author, and recipient of the Kim Cameron Award 2025. If you have an AI system that works as a prototype but needs to become reliable production software, or an existing Python backend that needs an experienced engineer to diagnose and improve it, that is exactly the kind of work I am interested in. Available for long-term and short-term engagements with flexible overlap across US and European working hours.

  • FastAPI
  • Python
  • Artificial Intelligence
  • AI Agent Development
  • Retrieval Augmented Generation
  • Celery
  • Amazon Web Services
  • REST API
  • Java
  • OAuth
  • Docker
  • React
  • Kubernetes
  • PostgreSQL
  • Angular
  • Google Cloud Platform
  • OpenAI API
  • Claude
  • TypeScript
  • JavaScript
Kanaan Hany K A.

Dhahran, Saudi Arabia

$15/hr
5.0
2 jobs

Need a scalable, enterprise-grade backend for your web application? I am a Full Stack Software Engineer specializing in building secure, high-performance systems using the .NET Ecosystem (C#) and Python. With a background in enterprise engineering, I don't just write code; I architect solutions that handle complex business logic, ensure data security, and scale effortlessly. How I Can Help You: โ€ข Backend Architecture: I build robust APIs using .NET Core and FastAPI that are designed to handle heavy loads and complex data processing. โ€ข Enterprise Security: I have experience implementing secure authentication systems (SSO, LDAP, JWT) for large organizations, ensuring your user data is locked down and compliant. โ€ข AI Integration: Need to leverage AI? I have built pipelines transforming unstructured voice data into business intelligence using OpenAI's Whisper, reducing query times from minutes to seconds. โ€ข Cloud & DevOps: Proficient in deploying containerized applications (Docker) to Microsoft Azure, ensuring your app is always online and performant. My Tech Stack: โ€ข Languages: C#, Python, JavaScript/TypeScript โ€ข Frameworks: .NET Core, ASP.NET, FastAPI, Express.js โ€ข Databases: SQL Server, MongoDB โ€ข Tools: Docker, Azure, Git Whether you need to upgrade a legacy .NET system, build a new AI-powered microservice, or secure your application's authentication, I bring an engineer's precision to every project. Letโ€™s discuss how we can build your next project. Invite me to your job, and let's chat!

  • FastAPI
  • Web Development
  • C#
  • .NET Core
  • Entity Framework
  • Web API
  • Blazor
  • Python
  • Node.js
  • MongoDB
  • API Development
  • Microsoft Azure
  • Docker
  • SQL
  • User Authentication
Jose P.

Malaga, Spain

$35/hr
5.0
20 jobs

I build production-ready AI systems with Python, FastAPI, LangGraph and RAG. I help companies turn internal documents, business knowledge and repetitive workflows into reliable AI products. My core expertise includes: โ€ข RAG systems with citations, hybrid search and reranking โ€ข AI agents and multi-agent workflows with LangGraph โ€ข FastAPI backends, async processing and API integrations โ€ข PostgreSQL, Redis, Pinecone and vector databases โ€ข Document ingestion, OCR and structured data extraction โ€ข Docker, testing, logging and production hardening I can build a new AI application, improve an existing RAG or agent system, or turn a fragile prototype into a maintainable production service. I focus on retrieval quality, reliability, latency, observability and clean backend architecture.

  • FastAPI
  • Python
  • Docker
  • Amazon DynamoDB
  • PyTorch
  • AWS Lambda
  • Bash
  • Amazon S3
  • LangChain
  • PostgreSQL
Mehta S.

Pune, India

$11/hr
4.5
18 jobs

Overview: โœ… 10+ Completed Projects | ๐Ÿ’ฐ $2K+ Earned โœ… Python Backend Developer | Django | FastAPI | Flask | Docker | AWS | Kubernetes Iโ€™m a Python Backend Developer with 4+ years of experience building scalable, secure, and production-ready backend systems for startups and businesses. I specialize in developing high-performance REST APIs using Django, FastAPI, and Flask, along with third-party API integrations, cloud deployment, containerization, and database optimization. I have hands-on experience working with complete backend development workflows โ€” from API architecture and authentication systems to Dockerized deployment on AWS servers Core Skills & Technologies โœ… Python Development โœ… Django Development โœ… FastAPI Development โœ… Flask Development โœ… REST API Development โœ… Third-Party API Integration โœ… Authentication & Authorization โœ… PostgreSQL / pgAdmin โœ… SQLite & MySQL โœ… Git & GitHub Version Control โœ… Linux Server Management โœ… Docker Containerization โœ… Kubernetes Basics & Deployment โœ… AWS Deployment (EC2, S3, IAM) โœ… CI/CD Deployment Workflows What I Can Build โ€ข Secure REST APIs โ€ข Scalable Backend Architectures โ€ข Authentication Systems (JWT, OAuth) โ€ข Cloud-Ready Web Applications โ€ข Dockerized Python Applications โ€ข Database Design & Optimization โ€ข API Integrations & Automation Systems โ€ข Backend Deployment & Server Setup I focus on writing clean, maintainable, and scalable code with proper architecture and performance optimization. Whether you need a backend from scratch, API integration, bug fixing, deployment support, or long-term development assistance โ€” I can help deliver reliable solutions. Letโ€™s build your backend system professionally and efficiently.

  • FastAPI
  • Python
  • Django
  • API Integration
  • RESTful API
  • Docker
  • Linux
  • Kubernetes
  • AWS CodeDeploy
  • PostgreSQL
  • GitHub
  • SQL
  • pandas
  • NumPy
  • Web Scraping
  • Data Scraping
  • Scrapy
Monika Z.

Yerevan, Armenia

$30/hr
5.0
4 jobs

Are you looking for a full stack developer whoโ€™s agile, fast-thinking, and solution-oriented? Youโ€™re in the right place! ๐Ÿ‘‰ ๐—ช๐—›๐—ฌ ๐—ฌ๐—ข๐—จ ๐—ฆ๐—›๐—ข๐—จ๐—Ÿ๐—— ๐—ช๐—ข๐—ฅ๐—ž ๐—ช๐—œ๐—ง๐—› ๐— ๐—˜ โ˜‘๏ธ AI & Automation expertise: Skilled in building AI-driven systems, intelligent agents, and process automation tools that cut costs and speed up delivery. โ˜‘๏ธFast & Flexible: I quickly adapt to new challenges and deliver results without unnecessary delays. โ˜‘๏ธ End-to-End Thinking: I design both UX-friendly frontends and robust backends so your product feels complete. โ˜‘๏ธ Maintainable Architecture: I write clean, testable code and design systems that scale with your business. ๐Ÿ‘‰ ๐—ฆ๐—˜๐—ฅ๐—ฉ๐—œ๐—–๐—˜๐—ฆ ๐—œ ๐—ข๐—™๐—™๐—˜๐—ฅ - Backend Development โ€“ Building robust and scalable APIs using Python (Django, Flask, FastAPI). - Database Management โ€“ Working with PostgreSQL, MySQL, and Redis for optimized data storage. - Real-time Data & WebSockets โ€“ Handling WebSocket connections for real-time applications. - Integration & Optimization โ€“ Connecting backend systems with third-party services and improving performance. CORE SKILLS / AREAS Web Development ยท API Development ยท Frontend (React, Angular, TS) ยท Backend (Python, Node.js) ยท Database Design ยท DevOps ยท AI Agents & RAG โญ๏ธ Whatโ€™s next? ๐—–๐—ผ๐—ป๐˜๐—ฎ๐—ฐ๐˜ ๐—บ๐—ฒ ๐˜๐—ผ๐—ฑ๐—ฎ๐˜† to book a complimentary call and letโ€™s discuss your project in more detail.

  • FastAPI
  • Python
  • Flask
  • Node.js
  • JavaScript
  • ExpressJS
  • Web Application
  • HTML
  • CSS
  • AI Agent Development
  • Vector Database
  • PostgreSQL
  • MySQL
  • Docker
  • AWS Lambda

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FastAPI developer hiring guide

FastAPI developers build Python-based APIs and backend services that support web applications, microservices, data products, and AI-driven workflows. They can help you turn backend requirements into validated endpoints, clear API documentation, secure authentication flows, and scalable services that frontend, product, and data teams can use with confidence. If your project also involves frontend interfaces, you may want to explore hiring full stack developers for end-to-end support.

What does a FastAPI developer do?

A FastAPI developer designs and implements Python APIs and backend systems using FastAPI, a modern web framework built around Python type hints, validation, and automatic API documentation. This includes architecting RESTful endpoints with proper request and response validation, connecting databases using ORMs (Object-Relational Mapping) such as SQLAlchemy or SQLModel, implementing authentication and authorization flows, structuring asynchronous operations for performance-sensitive workflows, writing automated tests, containerizing services with Docker, and deploying to cloud platforms.

Common deliverables include API route implementations with Pydantic schemas for validation, database models and migration scripts, authentication middleware and security configurations, automated test suites, interactive API documentation (OpenAPI/Swagger), Docker configurations, deployment pipelines, and handoff documentation. Depending on project scope, a FastAPI developer may collaborate with frontend developers who consume the API, DevOps engineers who manage deployment and monitoring, data teams who provide schemas and integrations, or product managers who define feature requirements and success metrics.

How to hire a FastAPI developer on Upwork

Hiring a FastAPI developer on Upwork starts with a clear scope, then moves through candidate evaluation, interviews, and a written agreement on deliverables. A structured process helps candidates estimate accurately and helps you compare proposals based on the same requirements.

Step 1: Post a job

Start by defining the API deliverable, your tech stack, timeline, and acceptance criteria so qualified candidates can assess fit and propose accurately. A strong FastAPI job post includes:

  • API goal and backend deliverable, such as a new service, endpoint expansion, integration, migration, or debugging project
  • Tech stack details, including Python version, FastAPI, Pydantic, database, cloud provider, and CI/CD tools
  • Required integrations, such as third-party APIs, frontend frameworks, authentication services, or data pipelines
  • Timeline, milestones, and deployment target
  • Budget preference, including hourly or fixed-price structure
  • Acceptance criteria, such as tests, documentation, response-time goals, and security expectations

After you outline the scope, use the Job Post Generator, powered by Umaโ„ข, Upwork's Mindful AI, to create a customizable starting point. Describe your project in a few sentences, then refine the draft with stack details, deliverables, and success metrics. You can also review this job description template for guidance on structuring responsibilities and requirements.

Step 2: Evaluate candidates

Review proposals and shortlist candidates based on relevant FastAPI and Python backend experience. Focus on:

  • Portfolio examples showing FastAPI APIs, RESTful services, or microservices work
  • Evidence of database integration, authentication, async workflows, testing, and deployment
  • Client reviews that mention communication, documentation quality, debugging skill, and reliability
  • Proposal quality, including whether the freelancer identifies architecture decisions, validation steps, potential risks, and timeline estimates
  • Certifications or specializations, such as AWS, Docker, PostgreSQL, or Redis, if relevant to your stack
  • Job Success Score (JSS) and talent badges such as Top Rated or Expert-Vetted

Use Upwork's shortlist and comparison features to organize candidates before scheduling interviews. For developer-specific evaluation guidance, see how to evaluate developer skills.

Step 3: Interview your top choices

Interview your top candidates with a structured 30-minute discussion that validates technical judgment, problem-solving approach, and communication fit. During the interview:

  • Ask the candidate to walk through a FastAPI service they built, including how they structured routes, schemas, dependencies, and tests
  • Discuss how they decide when to use async routes, background tasks, queues, or separate microservices
  • Explore their approach to securing APIs that handle user data or payment workflows
  • Confirm what information they need from you to estimate timeline and cost accurately
  • Clarify communication preferences, update frequency, and how they handle scope changes or unexpected issues

Use Instant Interviews to collect structured video responses early, then move strong candidates to a live conversation. Upwork's built-in messaging and video tools let you schedule, conduct, and document interviews in one secure workspace.

Step 4: Agree on scope and begin work

Before the contract starts, finalize deliverables, milestones, communication expectations, and payment terms so both parties have clear alignment. Use Upwork's contract workroom to keep scope, approvals, and change requests documented in one place, and use funded milestones for fixed-price work so payments are held as project funds and released when you approve deliverables.

Before work begins:

  • List final deliverables, including endpoint list, schemas, database models, auth flows, tests, and documentation
  • Set milestones for fixed-price projects, such as architecture review, implementation, QA, and deployment
  • Define success criteria, including test coverage thresholds, API documentation completeness, and deployment validation
  • Confirm revision process, including how approved changes will be added to scope
  • Agree on communication cadence, such as daily standups, weekly progress updates, or async messaging check-ins
  • Document how access, credentials, and files will be shared securely after the contract starts

Upwork is not affiliated with and does not sponsor or endorse any of the tools or services discussed in this article. These tools and services are provided only as potential options, and each reader and company should take the time needed to adequately analyze and determine the tools or services that would best fit their specific needs and situation.

The rates and information provided in this article are based on current data and industry sources available at the time of publication. Freelance rates can vary depending on factors such as experience, location, project scope, and market conditions. Readers are encouraged to conduct their own research to confirm current rates and trends, as this information may change over time.

How much does hiring a FastAPI developer cost?

FastAPI developer project costs commonly range from about $1,200 for a focused endpoint update to $25,000 or more for a production backend service with database integration, authentication, testing, and cloud deployment. Costs depend on project scope, system complexity, integration requirements, timeline, and the level of architectural judgment needed.

The table below outlines common project types, typical market ranges, and the experience level often needed for each scope.

API endpoint updates or bug fixes

$1,200-$3,500/project

Entry-level to mid-level
  • Updated or new endpoints with validation schemas
  • Request and response format adjustments
  • Bug fix documentation and test coverage

New FastAPI service build

$4,000-$12,000/project

Mid-level
  • API routes with database integration
  • Authentication flow and role-based access
  • OpenAPI documentation and basic test suite

Production backend or microservices architecture

$10,000-$25,000+/project

Senior-level
  • Multi-service architecture with integrations
  • Async workflows, background tasks, and queues
  • Docker setup, CI/CD pipeline, and staging deployment

Ongoing optimization and support

$3,000-$8,000/project

Mid-level to senior
  • Monthly backlog prioritization and new features
  • Performance tuning and monitoring improvements
  • Security updates and production debugging

These ranges reflect common project scopes; actual costs vary by environment complexity, required integrations, turnaround expectations, and whether you need architecture design, migration support, or production troubleshooting. For related cost guidance, see Python developer hourly rates and API developer hourly rates.

FAQs about FastAPI developers

Frequently asked questions

Is hiring a FastAPI developer worth it?

Hiring a FastAPI developer is often worth it when your business needs a production-ready Python API, backend service, data integration, or microservice that must be reliable, well-documented, tested, and maintainable over time. FastAPI is designed for building APIs with Python type hints, validation, and interactive documentation, which can support cleaner handoffs between backend, frontend, and product teams.

It becomes especially valuable when you need asynchronous performance for high-throughput use cases, clear OpenAPI documentation for partner integrations, or a modern Python stack that supports rapid iteration. For small, defined builds, a fixed-price milestone structure often works well. For evolving production systems, hourly support may provide more flexibility.

What skills should a FastAPI developer have?

A FastAPI developer should demonstrate strong Python fundamentals, experience building RESTful APIs with FastAPI, familiarity with Pydantic for data validation, and hands-on knowledge of database integration using SQLAlchemy or similar ORMs. Look for candidates who can explain when to use asynchronous routes, how to implement authentication and authorization, how to structure dependency injection, and how to write automated tests using pytest or similar frameworks.

Beyond framework knowledge, prioritize deployment experience with Docker, cloud platforms such as AWS or Google Cloud Platform (GCP), version control proficiency, CI/CD familiarity, and clear communication skills. If your project involves AI or machine learning workflows, confirm experience with model inference APIs, queue-based background tasks, or large language model (LLM) integrations.

How do I know if I need a FastAPI developer or a full-stack developer?

You likely need a FastAPI developer if your project centers on backend API development, microservices architecture, database integration, or performance-sensitive Python services where the frontend already exists or will be handled separately. A full stack developer may be a stronger fit if you need both backend and frontend work, such as building a complete web application from database to user interface.

In practice, some FastAPI developers also have frontend skills, and some full-stack developers specialize in FastAPI backends. When posting your job, clarify whether the deliverable is API-only or includes frontend responsibilities so candidates can self-select accurately.

Should I hire a FastAPI developer on an hourly or fixed-price contract?

Use a fixed-price contract when your project has clearly defined deliverables, such as a specific set of API endpoints, database schema, authentication flow, test coverage, and deployment target. Fixed-price works well for new service builds, endpoint additions, or migrations where scope, acceptance criteria, and success metrics can be documented upfront.

What does a FastAPI project timeline look like?

A FastAPI project timeline depends on scope, complexity, and review cycles. A focused endpoint update or bug fix may take one to two weeks. A new API service with database integration, authentication, and basic testing often requires three to six weeks, depending on schema complexity, third-party integrations, and stakeholder review cadence.

Larger production backends or microservices builds can take two to four months when they include architecture planning, multiple service components, async workflows, staging deployment, monitoring setup, and postlaunch stabilization. Timeline estimates improve when you define deliverables, milestones, dependencies, and approval processes before the contract starts.