GPT Experts in Austria
, matched in minutes from over 15,000 CVs with the power of AIHire experts who create reliable GPT-powered applications, retrieval-augmented generation systems and workflow automations. Work with specialists across prompt design, API integration, evaluation and production deployment, matched quickly with vetted, available freelancers.
Meet FRATCH Experts in Austria, who have recently used GPT
Alexander P.
Last position:
Owner & Lecturer at Artellico / Own Company for AI Governance and Data Products
- Consulting and interim management at the intersection of IT operations and regulation
- Impact analysis and implementation planning for NISG 2026 and EU AI Act, including risk management and reporting and evidence processes
- Training for governing bodies and employees on regulatory obligations
- Teaching assignments in Data & Information Management and Human-Machine Interaction at Hochschule Burgenland, since 2023
- Supervision of master’s theses and participation in the examination board
- Expert presentations in business and educational institutions
- Design and development of data and AI products, platforms and pipelines
- Privacy-first architectures and Zero-Knowledge Encryption, cloud-native on EU infrastructure
- Connection to bank account systems via SEPA direct debit mandates and message formats according to ISO 20022 (pain.008, camt.053)
- MLOps and AIOps in ongoing operations
- Own applications under own brand: shared code base, separate delivery for each target device
- AI-assisted software development (vibe-coding), complete agentic pipelines, code generation, implementation, automated testing, CI/CD and release cycles
- Publications on EU AI Act, NIS2, DORA, CRA and CER as an integrated governance system
- Publications on data sovereignty, cloud economics and industrial image processing
- AI Governance / Compliance: Data Quality, Responsible AI, EU AI Act Readiness, Risk Classification, AI Ethics
Marko A.
Last position:
Program Lead | Agile Transformation Coach at EnBW
Technologies: Azure DevOps, Jira, Confluence, Office 365 (Teams, PowerPoint, Copilot, Excel, SharePoint, Forms, OneNote, PowerAutomate, Word), DataDog, Conceptboard, Python, AWS, Claude, Perplexity Methodology: Scrum
- Steering and supporting the organization in introducing Scrum and a SAFe-inspired quarterly roadmap and portfolio planning at program level.
- Servant leadership for Scrum teams and managers to achieve quarterly goals and measurably increase value creation for internal and external customers.
- Designing and building efficient communication and collaboration structures between multiple development teams and central stakeholders in the organization.
- Moderating and facilitating cross-functional workshops and management meetings to align on shared goals.
- Coaching leaders, Product Owners, and development teams on agile values, role understanding, and scaled ways of working (Scrum, SAFe, Business Agility).
- Removing structural obstacles at team and organizational level through targeted impediment management and escalation processes.
- Enabling teams to become more self-organized, accountable, and end-to-end responsible along the value streams.
- Individual coaching of key people (Product Owners, Chapter Leads, Scrum Masters) to strengthen their impact in the transformation program.
- Organization-wide identification, planning, and implementation of process, structure, and tool improvements to sustainably increase efficiency, throughput, and value creation.
- Close support for Product Owners in stakeholder management, business value prioritization, product strategy, roadmap planning, and effective collaboration with development teams.
- Introducing, governing, and scaling Azure DevOps as the central project and product management tool, including coaching the organization on usage, reporting, and alignment at all levels.
Achievements:
- Clear increase in visibility, transparency, and perceived value creation of the development teams within the overall organization.
- Noticeable improvement in communication between development, business, and other stakeholders.
- Optimization of work processes, workflow, and backlog structures, which reduced lead times, sharpened priorities, and sustainably increased team effectiveness.
Patrick J.
Last position:
Business Consultant at Patrick JOBST - Business Consulting & Internet Services
- Procrastination for beginners. The companion for your digital business model.
- Ultimate support for digital strategy, content marketing, search engine optimization, web development, social selling, online courses and consulting from one source.
- Sparring & mentoring for self-employed people, freelancers, entrepreneurs and coaches.
- Website & social media analysis.
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.
David L.
Last position:
Senior Full Stack Engineer at Fractual
- Built and maintained a full-featured React Native mobile app and companion web portal supporting multi-role access and real-time collaboration for service teams.
- Developed a robust NestJS backend using TypeScript, adhering to scalable microservices patterns to support a dynamic task management system.
- Designed and optimized PostgreSQL schemas, using advanced indexing and normalized data models to support patient tracking, tasks, and outcome reporting.
- Integrated Socket.IO to support real-time team communication, task status updates, and instant notifications across mobile and web platforms.
- Developed secure authentication workflows using AWS Cognito, including multi-role login, token refresh, and session timeout handling.
- Leveraged AWS S3 for secure document uploads (patient records, resource materials) with signed URLs and access control policies.
- Connected AWS SNS and SES to automate notifications for escalations, missed follow-ups, and appointment reminders.
- Engineered an admin analytics dashboard using React + Zustand for tracking user activity, case completion rates, and compliance metrics.
- Designed and implemented AI-driven features for task prioritization and patient risk classification using external API integrations.
- Established a robust CI/CD pipeline using GitHub Actions and Docker, achieving automated testing, linting, and environment-based deployments.
- Followed Agile ceremonies (daily standups, sprint planning, retros) while collaborating with QA, BAs, and PMs to deliver high-velocity features.
- Led data protection efforts ensuring full GDPR compliance, including encrypted storage, session control, and user-consent management.
- Delivered a fully responsive UI using DaisyUI-style components for mobile and tablet-first designs, achieving high Lighthouse scores.
- Reduced support tickets by 40% by implementing detailed audit logging and a self-service helpdesk system in the admin interface.
Aftab R.
Last position:
QA Operations Manager at Novartis Technical Operations Austria
- Working as QA Operations Manager due to network transformation at Novartis.
Amir A.
Last position:
AI-Workflows at ffektiv.ai
- Prompting & Custom GPTs
- Workflows / Make.com / N8N / Airtable / Google AI Studio
- Chrome Extensions
- Projects with Sparkassenakademie NRW / Deutsche Telekom / TU Wien
Discover over 15,000 top freelancers
Statistics of experts using GPT
Aggregated from the professional profiles of matched freelancers.
Experience
20 years
Position duration
2.6 years
Positions per freelancer
9
Top business areas
Product Development, Information Technology, Project Management
Top industries
Information Technology, Media and Entertainment, Retail
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
100%
Master's degree or higher
67%
Certifications per freelancer
3
Most common languages
German, English, French
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 GPT
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.
GPT 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 (86%)
- Media and Entertainment (57%)
- Retail (57%)
- Banking and Finance (43%)
- Healthcare (43%)
- Transportation (43%)
- Professional Services (43%)
- Government and Administration (43%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What GPT is
GPT means Generative Pre-trained Transformer. It is a family of large language models trained to understand and generate text, code and other content from natural-language instructions. The name is strongly associated with OpenAI GPT, while the underlying transformer approach is also used across modern language-model ecosystems.
What it builds
GPT can power customer-service assistants, internal knowledge tools, document workflows, coding copilots and content operations. It can classify text, extract structured data, summarize long material, translate language and generate responses that follow a defined format. Production systems usually combine the model with application logic, business data and review controls.
Ecosystem and tooling
GPT projects often use OpenAI APIs, Azure OpenAI, Python or TypeScript services and REST or event-driven integrations. Strong specialists also work with embeddings, vector databases, retrieval-augmented generation, function calling, structured outputs and orchestration libraries. Monitoring, access controls, prompt versioning and model evaluation are part of a dependable implementation.
When companies need specialists
- A prototype must become a secure production application
- Company knowledge needs grounded answers instead of generic text
- Repetitive document or support work should be automated
- Model quality, cost and latency require systematic evaluation
Freelance expertise is useful when an internal team understands the business problem but lacks experience with language-model design. Specialists can select an appropriate approach, connect GPT to existing systems and set practical safeguards before wider rollout.
What strong professionals deliver
A capable GPT specialist turns vague goals into testable use cases and measurable acceptance criteria. They design prompts and retrieval flows around real data, handle incomplete or conflicting instructions and protect sensitive information. They also document assumptions, fallback paths and human-review points so the system remains understandable after launch.
GPT in Austrian teams
Companies in Austria can use GPT for multilingual service, industrial documentation, finance operations, public-facing information and software delivery. Remote collaboration works well for API, data and evaluation tasks, while on-site workshops can help with process discovery and stakeholder alignment. German-language quality should be tested alongside English and any other languages used by customers or staff.
Frequently asked questions
Key details about GPT, drawn from the questions we get asked most.
GPT is used for conversational assistants, document analysis, text classification, data extraction, summarization and code-support tools. It can also trigger business actions through function calling when the surrounding application enforces permissions and validation.
GPT handles varied language and ambiguous input more flexibly than rules-based automation. Traditional code remains better for deterministic calculations, strict validation and repeatable workflows, so strong solutions usually combine both approaches.
GPT is commonly accessed through managed services, which can simplify model access, updates and scaling. Open-source models may offer more deployment control and customization, but they can require additional infrastructure, tuning and operational expertise.
A strong GPT specialist often understands Python or TypeScript, API security, databases, cloud services and data pipelines. Retrieval design, embeddings, vector search, prompt evaluation and user-experience design are also valuable for production work.
A simple GPT proof of concept may need focused application and prompt experience. A customer-facing or regulated system requires deeper capability in data protection, evaluation, observability, access control, failure handling and integration with existing software.
Yes. GPT work is often suitable for remote collaboration because requirements, prompts, APIs and evaluation results can be reviewed online. On-site sessions can still help when specialists need to map internal processes or align several Austrian business teams.
Ask a GPT specialist to explain the evaluation set, expected failure modes and fallback behavior before reviewing polished examples. Quality also depends on grounded answers, protection of sensitive data, traceable outputs, sensible latency and clear ownership of model and prompt changes.
Before accepting a GPT project, clarify the target users, source data, languages, integration boundaries and definition of a successful response. Confirm who approves generated content, how sensitive information is handled and whether the assignment covers a prototype, production rollout or ongoing improvement.
The average hourly rate of freelancers in Austria who have used GPT in their recent projects is 113 €, which corresponds to a daily rate of about 904 € based on an 8-hour working day.
Of the freelancers in Austria who have used GPT in their recent projects, 100% hold at least a Bachelor's degree and 67% hold at least a Master's degree.
On average, freelancers in Austria who have used GPT in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 2.6 years.
The most common languages among freelancers in Austria who have used GPT in their recent projects are German (100%), English (100%), and French (43%).
The most common industries among freelancers in Austria who have used GPT in their recent projects are Information Technology (86%), Media and Entertainment (57%), and Retail (57%).
The most common business areas among freelancers in Austria who have used GPT in their recent projects are Product Development (100%), Information Technology (86%), and Project Management (86%).
Main locations of FRATCH Experts, who have recently used GPT
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.
Countries:
- Germany
- Austria
- Switzerland
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