Hire the Best FastAPI Developers
Bhavnagar, India
๐ Top-Rated on Upwork ๐ 100% Job Success Score โ 20+ Jobs completed ๐ Hi, I am a Python Backend developer with 4 years of experience crafting robust and scalable web applications. I am passionate about turning ideas into reality, I specialize in building efficient and reliable backend systems using Django, Flask, and FastAPI. โ Why I am Unique? ๐ Service Before Money ๐ Full-Stack Proficiency ๐ Uncompromising Communication ๐ Weekend Support ๐ Dedicated Freelancer ๐ Attention to Detail ๐ Problem Solver ๐ Client-Centric Approach โ My Working Strategies I follow Agile methodologies and Waterfall models to ensure efficient project management and deliver high-quality results. I prioritize clear communication, code quality, and maintainability. My focus is on building scalable, secure, and well-documented applications. โ Technical Expertise ๐น Python: Core programming language for backend development ๐น Django, Flask, FastAPI: Python web frameworks for building robust applications ๐น Databases: PostgreSQL, MySQL, SQLite ๐น Cloud Platforms: AWS (EC2, S3, Lambda, RDS) ๐น API Development: RESTful and GraphQL APIs using Open API specifications ๐น Version Control: Git ๐น Testing: Unit, integration, and API testing Ready to bring your project to life? Let's connect! Feel free to send me a message or check out my portfolio for more details. I am eager to discuss your project requirements and explore how I can help you achieve your goals. Thanks & Regards
- FastAPI
- Python
- Flask
- Django
- Web Development
- Stripe
- Amazon EC2
- Amazon S3
- AWS CodeDeploy
- Back-End Development
- Amazon Web Services
- OpenAPI
- Web Scraping
- API
- Selenium
Mohali, India
I build Python backends and the AI features that run on them. Most of the AI work I get pulled in to fix has the same story: it was built as a demo, and it broke the first time it met production traffic, live data, or a real bill. I work the other way around โ backend first, then the AI wired in properly. Backend and APIs This is the core of what I do. REST APIs in Django and FastAPI, built to handle production traffic rather than just pass a quick test. Auth with JWT and OAuth, payments through Stripe and Razorpay, PostgreSQL and MongoDB schema design and indexing, and background jobs on Celery and Redis. With third-party integrations, I handle the part most people skip: what the system does when the external service is slow, down, or returning errors. GenAI integration On the deeper end, I build agentic systems in LangChain and LangGraph: custom tools, multiple agents working together, and proper memory and context handling across a workflow, with tool calls connected to the actual backend. On the everyday end, that's chatbots, content generation, automation, and retrieval over a client's own data (RAG) where it fits. I work across OpenAI, Claude, and Gemini, and I trace LLM calls and track token spend, because in production the cost matters as much as the output. What I care about is that the AI sits on a solid system โ auth, a database, error handling, retries โ so it behaves like a feature, not a science project. Deployment I deploy what I build. Docker, AWS or DigitalOcean, so the work goes out live and running, not handed over as a folder of code someone else has to figure out. How I work I ask questions before I write anything, because the wrong assumption early gets expensive later. I deal with edge cases instead of hoping they won't show up. I keep the code clean enough for the next person to read, I reply quickly, and I hit the dates I commit to. Industries I've worked in: e-commerce, SaaS, education, logistics, and internal tools. If you need a backend you can rely on โ a new build, a broken system that needs sorting, or AI features that have to hold up in production โ send me the details and I'll tell you how I'd approach it.
- FastAPI
- Python
- Django
- Flask
- Back-End Development
- API Development
- RESTful API
- API Integration
- LangChain
- OpenAI API
- Retrieval Augmented Generation
- AI Agent Development
- Chatbot Development
- Generative AI
- PostgreSQL
- MongoDB
- Celery
- Redis
- Docker
- Amazon Web Services
Lahore, Pakistan
I build scalable full-stack applications with strong backend foundations and modern frontend experiences. With 5+ years of experience, Iโve helped startups and businesses develop high-performance platforms, AI-powered features, and production-ready systems. My strength lies in combining clean backend architecture with intuitive, responsive frontends. If you're building a product end-to-end or improving an existing system, I can help you deliver a reliable and scalable solution. ๐ง What I Can Help You With - Build full-stack applications using React, Next.js, and Python backends - Develop scalable APIs with FastAPI, Django, and Node.js - Integrate AI-powered features (GPT, RAG, LangChain) - Design clean system architecture for long-term scalability - Optimize performance across backend and frontend - Integrate third-party services (Stripe, AWS, etc.) - Deploy and scale applications on cloud platforms ๐ Recent Work - Built full-stack AI-based platforms with dynamic backend systems - Developed scalable web applications with modern frontend frameworks - Integrated GPT-based features and AI workflows into production apps - Optimized application performance across backend and frontend layers - Improved system reliability and reduced bugs through better architecture โ๏ธ Tech Stack Frontend: React, Next.js, JavaScript, TypeScript, HTML, CSS Backend: Python (FastAPI, Django, Flask), Node.js AI: GPT-4, GPT-4o, RAG, LangChain Cloud: AWS, Azure, GCP, DigitalOcean Databases: PostgreSQL, MongoDB, MySQL Architecture: Monolith, Microservices APIs: REST APIs, API integrations โ Why Clients Work With Me - Strong backend-first approach for scalable systems - Clean, maintainable, production-ready code - Ability to handle full product development end-to-end - Clear communication and reliable delivery ๐ค Letโs Work Together If youโre building a full-stack product, integrating AI, or scaling your application, feel free to reach out. Happy to discuss your project and suggest the best approach.
- FastAPI
- Python
- Django
- Flask
- Amazon Web Services
- JavaScript
- React
- MySQL
- Docker
- PostgreSQL
- API Integration
- GitHub
- API Development
- RESTful API
- Linux
Lahore, Pakistan
Iโm an AI Automation Engineer and Python backend developer with 10+ years of experience building scalable AI-powered applications, backend systems, automation tools, and data platforms. I help startups and businesses build production-ready AI solutions using OpenAI, LangChain, FastAPI, Django, and modern automation workflows. ๐ฅ๐ฒ๐ฐ๐ฒ๐ป๐ ๐ฝ๐ฟ๐ผ๐ท๐ฒ๐ฐ๐๐ ๐ถ๐ป๐ฐ๐น๐๐ฑ๐ฒ: โคท AI-powered workflow automation systems โคท Custom GPT and LLM integrations โคท Backend APIs and SaaS platforms โคท Web scraping and data extraction pipelines โคท Time-series analytics and AWS-based systems โคท Internal AI tools and business process automation ๐๐ก๐๐ญ ๐ ๐๐๐ง ๐ก๐๐ฅ๐ฉ ๐ฒ๐จ๐ฎ ๐ฐ๐ข๐ญ๐ก: โคท AI Automation & AI Agents โคท OpenAI / GPT Integrations โคท LangChain & LLM Applications โคท Python Backend Development (FastAPI, Django, Flask) โคท REST APIs & SaaS Architectures โคท Web Scraping & Data Pipelines โคท PostgreSQL, Redis, Celery, Docker, AWS โคท Deployment, Scaling & Performance Optimization ๐ ๏ธ ๐๐จ๐จ๐ฅ๐ฌ ๐ ๐ฎ๐ฌ๐: โคท Docker, Git, Jira, Trello, Slack ๐ฌ ๐๐ก๐ฒ ๐๐ฅ๐ข๐๐ง๐ญ๐ฌ ๐๐ก๐จ๐จ๐ฌ๐ ๐ฆ๐: โคท Top-rated 5-star developer โคท Smooth communication and fast turnaround โคท Focused on long-term collaboration and clean code I focus on clean architecture, scalability, fast communication, and long-term maintainability. Whether you need an AI MVP, backend system, automation platform, or custom AI workflow, I can help turn your idea into a reliable production-ready product. ๐ Letโs build your next big project with performance, stability, and future scale in mind. ๐ฉ Message me now to discuss your idea. I'm available and ready to help!
- FastAPI
- Flask
- Python
- Django
- Python Script
- Celery
- Docker
- React
- Amazon Web Services
- Machine Learning
- Back-End Development
- JavaScript
- PostgreSQL
- API Development
- LLM Prompt Engineering
Maia, Portugal
I operate at the intersection of ๐ฉ๐ซ๐จ๐๐ฎ๐๐ญ, ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ข๐ง๐ ๐ฅ๐๐๐๐๐ซ๐ฌ๐ก๐ข๐ฉ, ๐๐ง๐ ๐ก๐๐ง๐๐ฌ-๐จ๐ง ๐ฌ๐จ๐๐ญ๐ฐ๐๐ซ๐/๐๐ implementation. I help startups and scaleups define technical strategy, build roadmaps, staff and organize engineering teams, and personally implement the core backend and ML components when needed from system design and architecture to model deployment and observability. ๐๐ก๐๐ญ ๐ ๐๐จ: - ๐ช๐ป๐ถ ๐๐ ๐๐๐๐๐๐ + ๐๐๐๐ ๐-๐๐ ๐๐๐๐๐๐๐๐๐๐๐๐๐๐: architecture, hiring, vendor selection, proof-of-concept โ production. - ๐ฌ๐๐ -๐๐-๐๐๐ ๐จ๐ฐ ๐ ๐๐๐๐๐๐๐: data strategy, model development, MLOps, A/B testing, feature flags. - ๐ซ๐๐๐๐๐๐๐ & ๐๐๐๐ ๐๐๐: Agile coaching, sprint governance, capacity planning, risk mitigation. - ๐บ๐๐๐๐๐๐๐๐๐๐ & ๐๐๐๐๐๐๐๐๐๐๐: Micro-services, event-driven architectures, caching, async workers, observability. ๐๐๐๐ก & ๐๐ซ๐จ๐๐๐ฌ๐ฌ ๐๐ญ๐๐๐ค: Python, FastAPI, Django, PyTorch, TensorFlow, Hugging Face, MLflow, Airflow, Docker, Kubernetes, Terraform, AWS/GCP, Postgres, Redis, Kafka, Prometheus, Grafana, GitHub Actions, Jira, Confluence, Figma. ๐๐๐ก๐ข๐๐ฏ๐๐ฆ๐๐ง๐ญ๐ฌ: - As acting CTO, ๐๐๐๐ข๐ง๐๐ ๐ฉ๐ซ๐จ๐๐ฎ๐๐ญ ๐ซ๐จ๐๐๐ฆ๐๐ฉ ๐๐ง๐ ๐ฅ๐๐ ๐ ๐๐-๐ฆ๐จ๐ง๐ญ๐ก delivery that included MLOps pipelines and a production LLM microservice โ ๐ซ๐๐ฌ๐ฎ๐ฅ๐ญ๐ข๐ง๐ ๐ข๐ง ๐๐ฑ ๐๐๐ฌ๐ญ๐๐ซ ๐๐๐๐ญ๐ฎ๐ซ๐ ๐๐๐ฅ๐ข๐ฏ๐๐ซ๐ฒ and a 28% boost in user retention. - ๐๐ข๐ซ๐๐ ๐๐ง๐ ๐ฆ๐๐ง๐ญ๐จ๐ซ๐๐ ๐ ๐-๐๐ง๐ ๐ข๐ง๐๐๐ซ ๐๐ + ๐๐๐๐ค๐๐ง๐ ๐ญ๐๐๐ฆ; standardized deployments with Terraform + EKS and introduced SLOs/SLAs to reduce mean time to recovery by 70%. I thrive in ๐ก๐ฒ๐๐ซ๐ข๐ ๐ซ๐จ๐ฅ๐๐ฌ ๐ฐ๐ก๐๐ซ๐ ๐ญ๐๐๐ก๐ง๐ข๐๐๐ฅ ๐ฅ๐๐๐๐๐ซ๐ฌ๐ก๐ข๐ฉ ๐ฆ๐๐๐ญ๐ฌ ๐ก๐๐ง๐๐ฌ-๐จ๐ง ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ข๐ง๐ . If your team needs someone who can own the roadmap, manage delivery, and also roll up their sleeves to build backend services or AI systems, Iโm the right fit. ๐๐จ๐ซ๐ญ๐ฎ๐ ๐๐ฅ-๐๐๐ฌ๐๐, ๐ซ๐๐ฆ๐จ๐ญ๐-๐ซ๐๐๐๐ฒ, and adaptable to global time zones I specialize in helping startups and scaleups go from 0โ1 and then scale reliably. Letโs build something impactful together. ๐๐๐ฒ๐ฐ๐จ๐ซ๐๐ฌ ๐๐จ๐ซ ๐๐ข๐ฌ๐ข๐๐ข๐ฅ๐ข๐ญ๐ฒ: CTO, Technical Project Manager, Python, ML Engineer, MLOps, Backend, FastAPI, Django, PyTorch, TensorFlow, Hugging Face, Docker, Kubernetes, Terraform, AWS, GCP, Microservices, Observability, Agile, Scrum, SRE, CI/CD.
- FastAPI
- Project Management
- Product Management
- AI Product Management
- Python
- Artificial Intelligence
- Machine Learning
- Natural Language Processing
- AI Agent Development
- Django
- PyTorch
- TensorFlow
- Agile Project Management
- Jira
- Hugging Face
Dhaka, Bangladesh
โญ FastAPI / Django Developer | Legacy Systems & Shopify Backend Automation Businesses often struggle with outdated tools like Excel, MS Access, or disconnected Shopify workflows. I help companies modernize and automate operations by building secure, scalable web applications using FastAPI, Django, Next.js, and Shopify APIs. โ What I Do Best - Convert Excel / Google Sheets / MS Access into full web-based systems - Build Shopify private apps and custom backend integrations - Develop high-performance REST APIs with FastAPI - Create modern admin dashboards with Next.js - Deploy complete solutions on low-cost VPS with CI/CD ๐ Recent Work Examples โ Migrated an MS Access-based inventory system into a Django + PostgreSQL web platform โ Built Shopify API automation for order + inventory sync with a custom CRM โ Developed FastAPI middleware connecting WhatsApp orders into MySQL database โ Deployed production apps using Docker, Nginx, GitHub Actions CI/CD ๐ Core Technical Stack Backend: FastAPI, Django, Laravel Frontend: Next.js, React, TypeScript Databases: PostgreSQL, MySQL, SQL Server, Supabase Deployment: VPS, Docker, Nginx, CI/CD pipelines Integrations: Shopify Admin API, Webhooks, Automation โญ Why Clients Hire Me - Clear communication and business-first thinking - Reliable delivery with clean, scalable architecture - Strong experience modernizing legacy systems - Full-cycle support: build โ integrate โ deploy โ maintain If you're looking for a developer who can modernize your workflow or build powerful backend integrations for Shopify, Iโd be happy to discuss your project.
- FastAPI
- Python
- MySQL
- Laravel
- Django
- Visual Basic
- Database Design
- MySQL Programming
- JavaScript
- Shopify Templates
- Microsoft Access Programming
- Shopify Theme
- React
- Next.js
- PostgreSQL
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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 Umaโข, 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
- 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
- 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
- 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
- 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.
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