AI Agents Experts in Vienna
matched in minutes from over 15,000 CVsHire experts who design agentic workflows, connect language models to business systems, and build reliable autonomous agents for customer support, research and operations. FRATCH finds a precise match with vetted, available freelancers fast.
Meet FRATCH Experts in Vienna, who have recently used AI Agents
Chrisabel P.
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 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.
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
Shahram F.
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
Wolfgang F.
Last position:
AI Driving License Trainer at KI-Trainer WIFI Wien
Zachery L.
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 G.
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
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
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
Discover over 15,000 top freelancers
Statistics of experts using AI Agents
Aggregated from the professional profiles of matched freelancers.
Experience
17 years
Position duration
2.1 years
Positions per freelancer
13
Top business areas
Product Development, Information Technology, Marketing
Top industries
Information Technology, Professional Services, Banking and Finance
Certification focus areas
Information Technology, Business Intelligence, Marketing
Bachelor's degree or higher
100%
Master's degree or higher
60%
Certifications per freelancer
2
Most common languages
German, English, Spanish
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 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
AI Agents 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 (91%)
- Professional Services (73%)
- Banking and Finance (64%)
- Healthcare (55%)
- Transportation (45%)
- Manufacturing (45%)
- Media and Entertainment (45%)
- Retail (45%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What AI Agents are
AI Agents are software systems that interpret a goal, plan actions, use tools and evaluate results. They combine language models with instructions, memory, business rules and access to data or applications. The terms agentic AI, autonomous agents and LLM agents often describe related approaches, from a single task assistant to a coordinated group of agents.
What they build
Companies use AI Agents to handle work that requires judgment across several steps rather than a single text response.
- Customer support triage, response drafting and escalation
- Research assistants that gather, compare and summarize information
- Document processing, classification and data extraction
- Internal workflow automation across CRM, ERP and ticketing systems
- Software assistants that plan tasks and call approved tools
Ecosystem and tooling
Strong projects connect an agent framework to dependable model, data and integration layers. Common choices include LangChain, LangGraph, LlamaIndex, Semantic Kernel and model APIs from providers such as OpenAI, Anthropic or Google. Retrieval-augmented generation, vector databases, function calling, event queues and observability tools support grounded and traceable behavior.
When expertise matters
Freelance specialists are valuable when a proof of concept must become a controlled production service, or when an existing chatbot cannot complete multi-step work reliably. They define the agent boundary, select models, prepare knowledge sources and connect tools without exposing sensitive operations. In Vienna, teams may combine remote delivery with on-site discovery sessions and expect clear communication in English or German.
Reliable agent design
Quality depends on more than a convincing conversation. Professionals create narrow permissions, explicit approval points, fallbacks and evaluation sets that test factuality, tool use, latency and failure recovery. They also apply prompt versioning, secure secret handling, audit logs and human review so the system remains understandable when a model behaves unpredictably.
Choosing a specialist
Look for evidence of shipped agent workflows, not only demonstrations of prompt writing. A capable specialist can explain why an agent is preferable to a conventional workflow, how data is kept current and where automation should stop.
- Maps business outcomes to measurable agent tasks
- Designs retrieval and tool integrations around real constraints
- Tests edge cases, permissions and handoffs to people
- Documents operations, monitoring and future model changes
Frequently asked questions
Questions about AI Agents? Start with the answers below.
AI Agents are used for multi-step work that involves interpreting information, choosing actions and using connected tools. Typical applications include support triage, research, document handling, internal knowledge access and workflow automation.
Agentic AI can plan and adapt across several actions instead of returning one fixed response or following only a rigid sequence. A well-designed agent still needs boundaries, approved tools and human escalation, while conventional automation is often more predictable for simple, repeatable tasks.
A strong AI Agents specialist usually combines prompt and model evaluation with API integration, retrieval-augmented generation, vector search and secure software design. Experience with data pipelines, observability, identity controls and user experience is also useful.
The right level depends on the risk and scope of the system, not on a fixed project duration. A small internal assistant may need focused workflow and retrieval expertise, while customer-facing or operational agents require production integration, evaluation, monitoring and failure-handling experience.
Autonomous agents can usually be designed and delivered remotely when access, documentation and decision owners are available. For teams in Vienna, occasional on-site workshops can help clarify processes, data boundaries and approval steps, while day-to-day work can remain remote.
Define the business process, permitted data, systems the agent may access and the decisions that must remain with a person. For LLM agents, examples of current documents, failure cases and success criteria help a specialist assess feasibility without overpromising.
Ask how the specialist evaluates factual answers, tool selection, unsafe requests, incomplete data and recovery from errors. Good AI Agents work includes repeatable tests, traceable actions, permission controls and a clear route to human review.
Professionals working with AI Agents should expect fast changes in models, frameworks and provider capabilities. They need to balance experimentation with disciplined evaluation, explain trade-offs to non-technical stakeholders and design systems that can switch models or tools without losing control.
The average hourly rate of freelancers in Vienna, Austria who have used AI Agents in their recent projects is 106 €, which corresponds to a daily rate of about 851 € 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 60% hold at least a Master's degree.
On average, freelancers in Vienna, Austria who have used AI Agents in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 2.1 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 (18%).
The most common industries among freelancers in Vienna, Austria who have used AI Agents in their recent projects are Information Technology (91%), Professional Services (73%), and Banking and Finance (64%).
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 (91%), and Marketing (64%).
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
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Philipp Thomaschewski
FRATCH CEO
