Prompt Engineering Experts in Austria
, matched fast with vetted, available freelancersHire experts who design reliable prompts, evaluate LLM outputs and connect AI assistants with business workflows. Work with specialists in OpenAI, Anthropic Claude, retrieval-augmented generation and structured outputs, matched precisely with vetted, available freelancers.
Meet FRATCH Experts in Austria, who have recently used Prompt Engineering
Daniel S.
Last position:
AI Automation in E-Commerce at Looops
- AI automation roadmap for a D2C/B2B e-commerce company.
- Customer service bot with RAG over support tickets and product data, OCR pipeline for incoming invoices with writeback to Business Central, lead gen and posting automation.
- Deterministic n8n workflows with EU-hosted models.
- n8n, RAG / Mistral, Qwen/BGE embeddings / Business Central API, HubSpot, Shopify / Scaleway, S3 / Claude Code, OpenCode.
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.
Gabriele B.
Last position:
Founder and Managing Director at PaiperOne GmbH
- Main tasks and responsibilities: development, acquisition, sales, consulting, and controlling
- Area of work or industry: Software as a Service in AI compliance and consulting
Selection of client projects:
- Creation and operation of an AI governance platform, including training content on the use of AI in companies
- Design, setup, and operation of the ISO 42001 management system at PaiperOne with certification by TÃœV
- Auditor according to ISO 17024 at Austrian Standards for the "AI Manager"
- AI training for staff of two Austrian publishing groups
- AI training for the management level at the State of Lower Austria
- AI strategy workshop for a municipality in Styria and a municipality in Salzburg
- AI workshops for the House of Digitalization in Tulln
- AI training for municipalities at KDZ
- Delivery of training on "Certified AI Compliance Officer" at the Academy for Internal Audit
- Organizational consulting on AI governance at ÖGK
- Project support for the "homepage chatbot" at öbv
- Certification exams at Austrian Standards
Christoph K.
Last position:
AI project lead at Logistics industry
- Project lead for the introduction of an AI-supported email automation system for a logistics service provider
- Requirements analysis, stakeholder coordination, consulting, implementation support
André L.
Last position:
Founder & Managing Director at lesswork Productivity Solutions e.U.
- Design and deploy production multilingual AI voice-agent solutions for customer service, lead capture, after-hours support and front-office automation use cases.
- Delivered three client implementations spanning Europe, Asia and North America, including multilingual support, sales/lead-capture and privacy-sensitive intake workflows.
- Translate business requirements into conversation flows, prompt architecture, knowledge grounding, fallback and handoff logic, guardrails, consent gates and structured data capture; production support deployments include knowledge bases of approximately 1,000 grounded Q&A entries per language.
- Build scenario-based evaluation and regression QA covering normal flows, edge cases, failure modes, handoff behaviour and acceptance criteria; coordinate fixes through production readiness and rollout.
- Work hands-on across Retell, ElevenLabs Agents, Twilio, Supabase/PostgreSQL, Vercel, APIs/webhooks and CRM workflows; lead discovery, demos, solution shaping and cross-functional delivery.
Sector: AI voice automation / customer workflow design
Herbert R.
Last position:
Lateral Entry Teacher at BRG Hermagor and HLW Hermagor; Caritas School for Social Professions; Vienna University of Economics and Business
Subjects taught: Business Administration & Economics, Computer Science, Geography & Postgraduate Business Education for the 2024/25 school year at BRG Hermagor and HLW Hermagor (Economics & Informatics), 22 teaching hours
Teaching for the 2026 school year at Caritas School for Social Professions in Wiener Neustadt, Computer Science; 8 teaching hours; current position at Vienna University of Economics and Business
Financial literacy classes for 1st and 2nd grades at HLW and for the 1-year Commercial School with a financial license, including the Money Matters program and simulated job interviews incorporating financial knowledge
Sustainability reporting for 5th-grade HLW and financial market education in cooperation with the Vienna Stock Exchange
Junior companies with 2nd and 3rd year HLW students, including participation at the Vienna Trade Fair in February 2025 and the Klagenfurt Regional Competition in April 2025
AI workshop for upper secondary students at BRG and HLW Hermagor
Supervision of diploma theses/VWA with a focus on AI
Christian M.
Last position:
Senior Feature Engineer - Banking at start.me app e.U.
- Requirements engineering & business analysis
- Architecture responsibility for core banking extensions
- Interface modeling for third-party systems (TiGital, ESA, ÖNB)
- AML, KYC & payment reporting
Ulrike M.
Last position:
AI Trainer & Agentic AI Designer at Creating AI Daily
- AI workshops and training for marketing and specialist teams in medium-sized companies in the DACH region, in German and English, on site and remote
- Participants develop their own AI use cases and implement them directly in the workshop instead of just hearing theory
- Concept and orchestration of AI agents and automated workflows: research, market monitoring, content production, inquiry handling
- AI-supported brand and content production with Claude, ChatGPT and Microsoft Copilot, brand-consistent and with human approval
- Landing pages and websites in corporate design, built with Claude Code
- Image, video and voice with Midjourney, HeyGen, ElevenLabs, Adobe Firefly, Canva and CapCut
- More than 20 years of art direction as the foundation, so AI results have brand quality and do not look like AI
- Clients from industry, real estate and property management, as well as consulting
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
Harald W.
Last position:
Design, Direction & Conceptualisation (Owner & Founder) at since1973
Robert P.
Last position:
Editorial Lead, Falstaff International Online at Falstaff Verlag
Discover over 15,000 top freelancers
Statistics of experts using Prompt Engineering
Aggregated from the professional profiles of matched freelancers.
Experience
20 years
Position duration
3.5 years
Positions per freelancer
13
Top business areas
Product Development, Marketing, Information Technology
Top industries
Media and Entertainment, Banking and Finance, Information Technology
Certification focus areas
Information Technology, Business Intelligence, Finance
Bachelor's degree or higher
80%
Master's degree or higher
60%
Doctorate
10%
Certifications per freelancer
2
Most common languages
German, English, French
Speak two or more languages
100%
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Austria are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Austria using Prompt Engineering
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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Prompt Engineering experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Media and Entertainment (73%)
- Banking and Finance (64%)
- Information Technology (64%)
- Education (55%)
- Professional Services (55%)
- Advertising (36%)
- Insurance (36%)
- Transportation (36%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Prompt Engineering does
Prompt Engineering is the disciplined design, testing and maintenance of instructions for large language models. It turns business goals into prompts that guide models toward useful, consistent and safe responses for chat, content, extraction, classification and automation.
Where it is used
- Customer support assistants that follow company policies
- Document analysis, summarisation and structured data extraction
- Internal search and retrieval-augmented generation systems
- Content workflows with defined tone, format and review steps
- Tool-using agents that call APIs or trigger business actions
Prompt design can support prototypes as well as production software. The right approach depends on the model, data, risk level and way people will use the result.
Ecosystem and tooling
Professionals work with OpenAI models, Anthropic Claude, Google Gemini and open-weight language models. Their toolkit can include system and user prompts, few-shot examples, JSON schemas, function calling, embeddings, vector databases and retrieval pipelines. They may also use LangChain, LlamaIndex, evaluation frameworks and observability tools.
When companies need specialists
- A proof of concept gives inconsistent or hard-to-review responses
- A support or knowledge assistant needs dependable source use
- Teams must compare models, prompts and retrieval strategies
- Existing AI features need evaluation, monitoring or safer fallbacks
Freelance expertise is useful when internal teams understand the business problem but lack time to test variations systematically. In Austria, remote collaboration often works well, while workshops may benefit from on-site sessions and clear German or English communication.
Skills beyond prompt writing
Strong professionals understand model behaviour, token limits, context windows and sampling settings. They can structure inputs, clean source material, define output schemas and connect prompts to APIs or orchestration code. They also know when prompt changes are not enough and the solution needs better data, retrieval, fine-tuning or product design.
What quality looks like
Good Prompt Engineering is measurable rather than based on a few impressive examples. Specialists create representative test sets, define acceptance criteria, inspect failure modes and compare outputs across realistic inputs. They document versions, protect sensitive information and establish review paths for harmful, biased or uncertain responses.
A capable freelancer explains trade-offs in plain language and leaves behind reusable prompts, evaluation cases and operating guidance. The result is an AI feature that remains understandable and maintainable as models, data and business requirements change.
Frequently asked questions
Questions about Prompt Engineering? Start with the answers below.
Prompt Engineering is used to shape how language models interpret instructions, context and expected outputs. Companies apply it to assistants, document processing, content generation, classification, search and workflows that use model responses.
Prompt Engineering changes the instructions and context given to a model without changing its trained parameters. Fine-tuning can be useful for specialised behaviour or consistent style, but it requires suitable training data and more operational effort; many projects should test prompt design and retrieval first.
A strong Prompt Engineering specialist often understands API integration, Python or JavaScript, data preparation, retrieval-augmented generation and vector databases. Evaluation design, safety controls, structured outputs and product discovery are also valuable for production work.
The right level of Prompt Engineering experience depends on the task, model risk and integration depth. A simple internal prototype may need focused prompt and evaluation work, while a customer-facing assistant benefits from experience with testing, monitoring, privacy and failure handling.
Prompt Engineering is often well suited to remote collaboration because prompts, test cases and model outputs can be reviewed asynchronously. On-site workshops can still help with stakeholder interviews, process mapping and access to domain experts; teams in Austria should agree on German or English communication needs early.
Quality in Prompt Engineering should be demonstrated with representative test cases, clear acceptance criteria and documented comparisons. Ask how the specialist handles ambiguous inputs, unsupported claims, sensitive data, model changes and outputs that do not meet the required schema.
Prompt Engineering cannot compensate for missing source data, weak retrieval, an unsuitable model or an unclear product workflow. A responsible specialist will identify when data cleaning, retrieval changes, fine-tuning, deterministic code or human review is a better solution.
A useful Prompt Engineering deliverable can include versioned prompts, system instructions, example inputs, output schemas, evaluation sets and documented limitations. It should also explain model settings, expected failure modes and how the client can test changes safely after handover.
The average hourly rate of freelancers in Austria who have used Prompt Engineering in their recent projects is 106 €, which corresponds to a daily rate of about 850 € based on an 8-hour working day.
Of the freelancers in Austria who have used Prompt Engineering in their recent projects, 80% hold at least a Bachelor's degree, 60% hold at least a Master's degree, and 10% hold a doctorate.
On average, freelancers in Austria who have used Prompt Engineering in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 3.5 years.
The most common languages among freelancers in Austria who have used Prompt Engineering in their recent projects are German (100%), English (100%), and French (36%).
The most common industries among freelancers in Austria who have used Prompt Engineering in their recent projects are Media and Entertainment (73%), Banking and Finance (64%), and Information Technology (64%).
The most common business areas among freelancers in Austria who have used Prompt Engineering in their recent projects are Product Development (100%), Marketing (91%), and Information Technology (82%).
Main locations of FRATCH Experts, who have recently used Prompt Engineering
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 Countries:
- Germany
- Austria
- Switzerland
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Philipp Thomaschewski
FRATCH CEO
