FastAPI Experts in Austria
matched in minutes by AIHire experts who deliver typed Python APIs, async services, authentication flows and production integrations with tools such as Pydantic, SQLAlchemy and Docker. FRATCH connects you with vetted, available freelancers through fast, precise AI matching.
Meet FRATCH Experts in Austria, who have recently used FastAPI
Christian W.
Last position:
Lead Developer & Performance Specialist at Groox GmbH
Sole responsibility for the design, development and deployment of the bilingual Qwik platform eventvideo.at. Responsible for frontend performance optimization (PageSpeed 97/100/100/100), SEO engineering with Schema.org, integration of Google Search Console and IndexNow, and building the GitHub Actions CI/CD pipeline. Requirements gathering and technical implementation.
- Performance Engineering: Google PageSpeed Score 97/100/100/100 (Performance / Accessibility / Best Practices / SEO) through frontend optimization (lazy loading, thumbnail-first, lightweight media integration)
- Full-Stack Web Development: Sole responsibility for development with the Qwik.js framework from frontend to deployment for the bilingual (DE/EN) platform eventvideo.at, marketing personalized, fully automated participant videos for sports events
- Qwik.js Resumability Architecture: Server-side rendering with minimal JavaScript hydration overhead; the page remains immediately interactive even with extensive video and event content, without a full-page load.
- API Integration: Google Search Console API and IndexNow API for automated indexing and SEO monitoring
- SEO Engineering: Schema.org Structured Data implementation for rich snippets and improved search engine visibility
- Mobile-First with minimal bundle size: CSS3 layout without UI framework overhead, consistently lean use of resources for excellent PageSpeed on desktop and mobile.
- GitHub Actions CI/CD: Automated build, test and deployment pipeline for continuous integration
Technologies: Qwik.js Framework, TypeScript, JavaScript, Internationalization (i18n DE/EN), GitHub Actions CI/CD, Google Search Console API, IndexNow API, Schema.org, Google PageSpeed Insights, Lazy Loading, CSS3, Responsive Design
Daniel S.
Last position:
AI Strategy & Use-Case Development at Umwelt Service Salzburg
- AI strategy concept and implementation roadmap for an energy consulting company.
- Use-case matrix with nine application scenarios (including funding research, chatbot, initial AI consulting, topic radar), implemented as reusable Claude Code skills.
- AI strategy, use-case analysis / Claude Code Skills / n8n.
Manuel P.
Last position:
AI Engineer at Misumi Europe GmbH & Motius GmbH
- Designed and built a next-generation NLP platform to accelerate sales-driven customer service through intelligent request analysis and routing, reducing average customer query response time by 30%.
- Architected a hybrid NLP system combining Large Language Models (LLMs) with traditional NLP pipelines for robust, explainable results.
- Developed request classification and routing mechanisms to accelerate customer support teams in handling customer queries faster and more accurately.
- Optimized LLM based data extraction and classification with context engineering.
- Integrated the platform into customer service processes, reducing response times and enhancing workforce efficiency.
Roman M.
Last position:
Software Engineer at FSM Rechtsanwälte
- Develop AWS-based components connecting Python backend services to React/TypeScript frontends.
- Improve database queries and application workflows for document processing and screening.
- Evaluate LLM retrieval and document-review workflows as part of the product stack.
Marcel S.
Last position:
Senior AI Engineer - Python at Insurance Company
Project Tech Stack: Python, AWS, Azure, FastAPI, openai, pandas, unittest/pymock
Achievements:
- Engineered automated data extraction pipelines to transform complex Excel datasets into structured formats via LLM-driven workflows.
- Architected a generative slide-deck engine that translates natural language prompts into formatted presentation assets.
- Integrated advanced LLM capabilities with the OpenAI Response API, implementing sophisticated tool-calling and structured output logic.
- Developed and containerized scalable backend microservice using FastAPI, Docker, and OpenShift to host and serve agentic skills.
Marc-Anthony T.
Last position:
Software Developer at Dawnguard.AI
- Foundational member of the backend TypeScript team, responsible for translating the initial product concept into a fully functional platform.
- Architected the core resource discovery engine for Azure and AWS, successfully enabling the frontend to visualize complex cloud environments and empowering the AI to evaluate architectural patterns.
- Engineered and scaled distributed APIs and dynamic CosmosDB schemas, ensuring the database and backend architecture could seamlessly adapt to rapidly evolving product requirements.
- Accelerated cross-functional testing by developing custom data-generation tools, allowing the AI and frontend teams to simulate and test against large-scale, artificial cloud architectures.
- Drove end-to-end feature delivery by partnering closely with AI, frontend, and business stakeholders to align technical implementation with the strategic vision of the Dawnguard platform.
Jürgen E.
Last position:
Chief Executive Officer at Riddle&Code GmbH
- Pivoted the company into data-driven and AI-powered energy optimization solutions for microgrids, energy communities, and grid operators.
Patrik G.
Last position:
Engineering & Development at TOBG Services Ltd
- Increased system uptime and performance while decreasing costs. Managing server infrastructure for DLT and application services
- Design and implement AI-workflow automation
- Developed the stakit.io App using Redis, Prometheus, Grafana
- Creating a multi-AI chat App with advanced AI-integration
- Developing an AI-powered document analysis solution for in-house and service deployment
Valerio S.
Last position:
Software Engineer at DonTouch SA
Responsible for integrating and maintaining web services for external clients and internal systems, emphasizing automation of ETL pipelines and infrastructure management.
Discover over 15,000 top freelancers
Statistics of experts using FastAPI
Aggregated from the professional profiles of matched freelancers.
Experience
16 years
Position duration
1.8 years
Positions per freelancer
17
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Professional Services, Banking and Finance
Certification focus areas
Information Technology, Project Management, Legal
Bachelor's degree or higher
71%
Master's degree or higher
43%
Certifications per freelancer
2
Most common languages
German, English, Spanish
Speak two or more languages
100%
Based on our profile pool as of 16 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Austria are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Austria using FastAPI
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 16 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
FastAPI experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (100%)
- Professional Services (63%)
- Banking and Finance (50%)
- Healthcare (50%)
- Media and Entertainment (50%)
- Education (38%)
- Transportation (38%)
- Manufacturing (38%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
FastAPI foundations
FastAPI is a modern Python web framework for building APIs and backend services. It combines Python type hints with Starlette for web capabilities and Pydantic for data validation and serialization. Automatic OpenAPI and Swagger documentation make endpoints easier to inspect and consume.
Where it fits
FastAPI is used for services that need clear contracts, efficient request handling and quick iteration.
- REST and JSON APIs for web and mobile products
- Internal services for data, automation and business workflows
- Machine learning inference and model-serving endpoints
- Event-driven backends and integrations between business systems
Its async support suits I/O-heavy workloads, while regular synchronous routes remain useful for simpler integrations and libraries.
Ecosystem and tooling
Strong FastAPI work often includes Pydantic models, dependency injection and careful exception handling. Specialists may connect services to PostgreSQL through SQLAlchemy, use Alembic for migrations, and manage background work with Celery or task queues. Pytest, Ruff, mypy, Docker and Kubernetes commonly support quality and delivery.
When expertise matters
Companies usually bring in freelance expertise when an API must move from a prototype to a dependable service, or when an existing Python backend needs clearer structure.
- Defining versioned API contracts and reusable schemas
- Improving authentication with OAuth2, JWT or identity providers
- Connecting databases, queues, cloud services and external APIs
- Adding tests, observability, rate limits and deployment workflows
In Austria, remote collaboration can work well for FastAPI projects, while local availability may help when teams need workshops or close coordination in German and English.
What strong specialists deliver
A capable FastAPI specialist separates routing, domain logic, persistence and configuration instead of placing everything in endpoint files. They understand async concurrency, transaction boundaries, security risks and the limits of database connection pools. They also document decisions and leave maintainable tests behind.
Quality is visible in predictable schemas, useful error responses, secure defaults and measured performance rather than in framework familiarity alone. The right professional can explain trade-offs between FastAPI, Django REST Framework, Flask and a service written in another stack.
Selecting the right professional
Review examples of APIs similar to the one you need, not only generic Python work. Ask how the specialist would handle authentication, migrations, API versioning, contract testing and production monitoring. A short technical discussion should reveal whether they can balance delivery speed with long-term operability.
Clarify ownership of the OpenAPI specification, deployment setup, tests and runbooks before work begins. For distributed teams, agree on overlap hours, communication habits and the language used for technical documentation. This creates a practical basis for effective remote or on-site collaboration.
Frequently asked questions
Questions about FastAPI? Start with the answers below.
FastAPI is used to build Python APIs, backend services, data-processing endpoints and machine learning inference services. It is a strong fit when typed request models, automatic documentation and asynchronous request handling are important.
FastAPI offers built-in validation, type-driven schemas and OpenAPI documentation with a modern async model. Flask is more minimal, while Django REST Framework brings deeper integration with the Django ecosystem, so the choice depends on existing systems, data access needs and project structure.
A strong FastAPI specialist often works with PostgreSQL, SQLAlchemy, Pydantic, Docker and automated testing. Experience with authentication, cloud deployment, message queues, observability and frontend-facing API contracts is also valuable.
The required experience depends on the service risk and integration depth, not simply on the framework. A small internal API may need focused Python and testing skills, while a public service needs proven judgment around security, async behavior, migrations, monitoring and operational support.
Yes, FastAPI projects are often suitable for remote collaboration because code, API contracts and deployment workflows are shared digitally. Teams in Austria should define overlap hours and whether German, English or both are needed for workshops and documentation.
Ask the FastAPI specialist to explain a representative API design, including validation, error handling, authentication, testing and deployment. Review the separation of concerns, the clarity of the OpenAPI contract and how production failures would be diagnosed.
FastAPI supports async route handlers through its Starlette foundation and works well for I/O-heavy services. Async code is not automatically faster, so the specialist must also understand blocking libraries, database drivers, concurrency limits and when synchronous code is the safer option.
A FastAPI freelancer may deliver structured source code, typed schemas, OpenAPI documentation, database migrations, automated tests and deployment configuration. Agree in advance on monitoring, runbooks, security notes and knowledge transfer so the service remains maintainable after handover.
The average hourly rate of freelancers in Austria who have used FastAPI in their recent projects is 92 €, which corresponds to a daily rate of about 734 € based on an 8-hour working day.
Of the freelancers in Austria who have used FastAPI in their recent projects, 71% hold at least a Bachelor's degree and 43% hold at least a Master's degree.
On average, freelancers in Austria who have used FastAPI in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Austria who have used FastAPI in their recent projects are German (100%), English (100%), and Spanish (13%).
The most common industries among freelancers in Austria who have used FastAPI in their recent projects are Information Technology (100%), Professional Services (63%), and Banking and Finance (50%).
The most common business areas among freelancers in Austria who have used FastAPI in their recent projects are Information Technology (100%), Product Development (100%), and Project Management (63%).
Main locations of FRATCH Experts, who have recently used FastAPI
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Vienna Graz 
Vienna Request a free demo
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FRATCH CEO
