AI Agents Experts in Vienna
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Meet FRATCH Experts in Vienna, who have recently used AI Agents
Chrisabel Prischl
Last position:
AI Systems & Product Strategy Expert at Webmeisterin
I build. I advise. I think in systems. After years leading digital transformation at scale — Accenture, BP, Lidl — I made a deliberate choice: trade platform dependency for structural independence. My focus is at the intersection of AI systems, product strategy, and venture thinking. I work with operators and founders who want to move fast without losing control — of their data, their stack, their direction.
Manuel Pasieka
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.
Marcel Steger
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.
Shahram Fallahdoust
Last position:
Senior Product Owner at Elderly Neighbour Watch
Delivered a digital, non-profit neighborhood platform to connect older adults with volunteers for practical support and social companionship. Responsible for business analysis, requirement definition, platform evaluation and delivery of a locally scalable service solution focusing on AI-driven enhancements, data-based optimization and clear market positioning. Evaluated several low-code/business platforms including Odoo and Glide Apps and assessed monday.com as a CRM-like option before selecting Glide Apps for implementation. Implemented a non-native mobile and desktop application with Glide Apps and the web presence with WordPress. Tasks
- Gathering, analyzing and structuring business requirements for the product and service model
- Conducting market, target group and competitor analyses to position the offering
- Evaluating and selecting suitable low-code/business platforms for implementation
- Defining core user journeys, business processes and operational workflows for older adults, volunteers and administration
- Translating business requirements into functional requirements for profiles, task management, coordination, communication and notifications
- Guiding the implementation of the non-native mobile and desktop application in Glide Apps as well as the web presence in WordPress
- Preparing the business side for future AI-powered features such as intelligent matching and data-based optimization
- Ensuring compliance with GDPR requirements Results
- Successfully delivered digital support platform connecting older adults with volunteers
- Solid foundation for market positioning through market, target group and competitor analyses
- Delivered a functional non-native mobile and desktop application with Glide Apps and a supporting web presence with WordPress
- Established foundation for scaling and AI-based further development
Zachery Lahti
Last position:
Fractional Director, Growth & Revenue | Strategic Advisor at Multi-Client Engagements
- Lead fractional growth and automation engagements across multiple companies, auditing, designing, and implementing AI-driven automations and agentic systems that create measurable commercial and operational impact with deterministic execution for complex business workflows.
- Audit AI readiness and ROI, then architect and deploy agentic systems that harden institutional knowledge and fix operational bottlenecks ensuring scalable growth and unimpeded strategic execution.
- Design commercial-ready multi-agentic architecture for orthopedic prior authorization workflows, shifting clinical decision-making from high-variance manual efforts to an auditable, deterministic clinical infrastructure.
- Implement Human-in-the-Loop (HITL) synthesis to ensure 100% medical authority while enabling up to 90% reduction in administrative time.
- Lead the migration of legacy marketing and sales functions into agent-first workflows, utilizing LLMs to synthesize internal data and external market signals for real-time go-to-market adjustment and champion talent development across the team.
Maximilian Götz-Mikus
Last position:
Solo Developer / Founder at InvAPI
- Privacy-first, stateless e-invoice API providing AI-powered extraction, bidirectional format conversion (UBL/CII/ZUGFeRD), batch processing, and validation for German/Austrian e-invoice compliance
- Technologies: Nuxt 4, Vue 3, Nitro, TypeScript, Cloudflare (D1, R2), Stripe, OAuth, AI/LLM integration
Ulrike Monnerie
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
Discover over 15,000 top freelancers
Statistics of experts using AI Agents
Aggregated from the professional profiles of matched freelancers.
Experience
15 years
Position duration
1.5 years
Positions per freelancer
15
Top business areas
Product Development, Information Technology, Business Intelligence
Top industries
Information Technology, Banking and Finance, Healthcare
Certification focus areas
Information Technology, Business Intelligence, Marketing
Bachelor's degree or higher
100%
Master's degree or higher
83%
Certifications per freelancer
2
Most common languages
German, English, Spanish
Speak two or more languages
100%
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Vienna 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 Vienna using AI Agents
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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What they do
AI agents are systems that plan steps, use tools, and act on behalf of a user or team. They are used for support workflows, research assistants, internal operations, and task automation where a simple chatbot is not enough. Good work focuses on clear goals, safe actions, and traceable results.
Common stacks
- LLM orchestration and prompt design
- Tool use, function calling, and API wiring
- Memory, retrieval, and vector search
- Guardrails, approval flows, and logging
These specialists often work with OpenAI, LangChain, LangGraph, LlamaIndex, and similar agentic AI tools. They also understand how to connect business systems, data sources, and permissions without breaking reliability.
Where they fit
Companies bring in freelance expertise when an agent needs to move from demo to real use. That often means fixing brittle prompts, reducing unsafe actions, improving evaluation, or adding human review. It is also common in Vienna when teams want English delivery but need smooth collaboration with local business owners.
Strong skills
Strong professionals think in workflows, not just prompts. They can break a task into steps, decide when an agent should call a tool, and test failure cases carefully. They also write clean handoffs, so teams can maintain the system after launch.
Typical projects
AI agents often appear in customer service, knowledge search, sales support, research summarization, and back-office automation. They may also power copilots for internal teams, ticket routing, or document triage. The best projects start with one narrow task and expand only after the agent proves dependable.
How quality shows
Quality is visible in the details: grounded outputs, controlled tool access, clear logs, and sensible fallback paths. A solid AI Agents specialist can explain how the system avoids loops, hallucinated actions, and hidden failure modes. They should also be able to describe what is automated, what stays manual, and why.
Frequently asked questions
Questions about AI Agents? Start with the answers below.
A strong AI Agents setup is used when a team wants software to plan steps, call tools, and complete tasks with limited supervision. Common uses include support triage, internal knowledge assistants, research workflows, and repetitive office tasks. It is a better fit than a simple chatbot when the work needs actions, not just answers.
AI Agents do more than respond to a prompt. They can decide on a sequence of actions, use APIs, read retrieved context, and continue until a task is finished or blocked. A normal chatbot usually stays in one turn of conversation and does not manage workflows.
AI Agents and agentic AI are closely related terms, and many people use them for the same kind of system. Agentic AI usually refers to the broader idea of software that acts with more autonomy, while AI agents often points to the concrete workflow or assistant you build. When hiring, it helps to ask whether the expert has shipped both prototypes and production systems.
A capable AI Agents specialist usually also knows API integration, retrieval-augmented generation, prompt design, evaluation, and basic backend engineering. Skills in LangChain, LangGraph, LlamaIndex, and OpenAI-style tool use are often useful. For enterprise work, security, logging, and approval flows matter just as much as model choice.
The answer depends on how much risk the system carries. A small internal assistant may need one strong AI Agents freelancer who can move quickly, while a customer-facing workflow usually needs deeper experience with testing, guardrails, and failure handling. The more the system can trigger real actions, the more important production experience becomes.
Many AI Agents projects can be done remotely because the work is mostly design, integration, and testing. On-site time in Vienna can still help when the expert needs direct access to domain stakeholders, sensitive systems, or workshop sessions with product and operations teams. A good setup often mixes remote delivery with a few focused meetings.
Look for clear thinking about workflow design, tool limits, and evaluation. A reliable AI Agents expert can explain how they prevent loops, reduce unsafe actions, and measure whether outputs are grounded in real data. Good signals also include clean handover notes, readable prompts, and a practical view of where human review is still needed.
Before starting, a AI Agents freelancer should ask what the agent is allowed to do, which systems it can touch, and how success will be measured. They should also clarify data access, fallback steps, review rules, and who approves changes. Those answers decide whether the work is a simple prototype or a real production build.
The average hourly rate of freelancers in Vienna, Austria who have used AI Agents in their recent projects is 112 €, which corresponds to a daily rate of about 896 € based on an 8-hour working day.
Of the freelancers in Vienna, Austria who have used AI Agents in their recent projects, 100% hold at least a Bachelor's degree and 83% hold at least a Master's degree.
On average, freelancers in Vienna, Austria who have used AI Agents in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 1.5 years.
The most common languages among freelancers in Vienna, Austria who have used AI Agents in their recent projects are German (100%), English (100%), and Spanish (14%).
The most common industries among freelancers in Vienna, Austria who have used AI Agents in their recent projects are Information Technology (86%), Banking and Finance (71%), and Healthcare (71%).
The most common business areas among freelancers in Vienna, Austria who have used AI Agents in their recent projects are Product Development (100%), Information Technology (86%), and Business Intelligence (71%).
Main locations of FRATCH Experts, who have recently used AI Agents
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:
Vienna 
Graz Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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Philipp Thomaschewski
FRATCH CEO
