AI Agents Experts in Austria
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Meet FRATCH Experts in Austria, 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.
Mario M.
Last position:
Co-Founder and CTO at B2B SaaS Recruiting Platform
Complete build of a B2B SaaS platform for recruitment agencies
- Multi-source job aggregation via ATS APIs
- AI-assisted career page scraping
- Rule-based and AI-assisted matching
- Credit-based monetization model with Stripe integration
- Live in production since July 2026
Tech stack
- NestJS
- React
- PostgreSQL
- pgvector
- Claude AI
- Prisma
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.
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.
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
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.
David M.
Last position:
Senior Technical Consultant at BMW Group
- Architecture and development of enterprise React 19 based documentation platform for automotive software systems
- Full-stack implementation of visualization tools & interactive diagram viewers
- Performance optimization initiatives including virtual rendering for 10,000+ node trees and Web Worker-based search functionality
- Designed and implemented modular plugin architecture enabling extensible document rendering system
- Technical consultation on Git-based architecture-as-code workflows and modern design patterns
- Ownership of critical features from design through deployment, collaborating with cross-functional enterprise teams
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
Bernhard K.
Last position:
AI Consultant at Bitpanda
- Advising on AI strategy and implementation for one of Europe's leading digital asset platforms
- Helping teams integrate agentic AI workflows, optimize developer productivity through AI-assisted tooling, and evaluate emerging AI technologies for fintech applications
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
1.9 years
Positions per freelancer
15
Top business areas
Product Development, Information Technology, Marketing
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Project Management, Research and Development
Bachelor's degree or higher
100%
Master's degree or higher
64%
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 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 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 (94%)
- Banking and Finance (75%)
- Professional Services (69%)
- Healthcare (56%)
- Media and Entertainment (50%)
- Transportation (44%)
- Education (38%)
- Manufacturing (38%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What AI Agents Do
AI agents are software systems that interpret goals, choose actions, use tools and evaluate results. They combine large language models with prompts, memory, retrieval, APIs and business rules. Unlike a simple chatbot, an agent can coordinate several steps and respond to changing information.
Where They Are Used
Companies use agents to automate work that involves documents, decisions, research or system actions.
- Route support requests and draft grounded responses
- Extract information from contracts, invoices and records
- Coordinate research, reporting and internal knowledge tasks
- Trigger workflows across CRM, ERP and collaboration tools
Ecosystem And Tooling
Strong projects may involve OpenAI, Anthropic, Google Gemini, open-weight models or model gateways. Retrieval-augmented generation, vector databases, function calling, orchestration frameworks and evaluation suites connect the model to useful context and controlled actions. Python, TypeScript, REST APIs, cloud services and observability tooling are common parts of the delivery stack.
When To Bring In Specialists
Freelance expertise helps when a proof of concept must become a dependable service, when internal data needs secure retrieval, or when agents must operate across several systems. In Austria, specialists may support local teams on-site, remotely or in a hybrid model, with German and English collaboration depending on the organisation.
- Define agent boundaries, tools and approval steps
- Replace fragile prompt experiments with tested workflows
- Connect agents to private data and operational systems
- Measure answer quality, latency, cost and failure modes
Skills That Matter
The best professionals understand both model behaviour and conventional software delivery. They design clear tool schemas, manage context, prevent unsafe actions and create fallback paths for uncertain results. They also know how to protect sensitive data, control access, trace decisions and test agents against realistic conversations.
Choosing The Right Expert
Look for evidence of shipped agent workflows, not only prompt demonstrations. Ask how the professional handles hallucinations, permissions, changing model outputs and human review. A sound delivery includes evaluation cases, monitoring, documentation and a plan for maintaining prompts, models and integrations after launch.
Frequently asked questions
Not sure where to start with AI Agents? These answers cover the essentials.
AI Agents are used for tasks that require interpretation, planning and action across connected systems. Typical examples include customer support, document processing, research, knowledge search and workflow coordination. They are most useful when work contains changing inputs rather than one fixed rule.
AI Agents can select tools, retrieve context and adapt their next step toward a goal. A chatbot usually responds within a conversation, while traditional automation follows predefined rules. Production systems often combine all three approaches, using an agent only where flexible reasoning adds value.
A strong AI Agents specialist usually understands Python or TypeScript, APIs, cloud services, databases and identity controls. Experience with retrieval-augmented generation, vector search, prompt design, evaluation and observability is also valuable. Knowledge of the business process matters as much as model familiarity.
AI Agents work should be assessed by the system’s risk, integrations and data sensitivity rather than by a fixed time period. A simple internal assistant may need a focused prototype, while customer-facing or action-taking systems require deeper experience with testing, permissions, monitoring and human approval. Ask for comparable deliveries and the decisions made during them.
AI Agents projects can often be delivered remotely when requirements, data access and review processes are clear. On-site workshops may help with process discovery, security decisions and stakeholder alignment. Teams in Austria should agree early on collaboration language, access controls and how sensitive information is handled.
AI Agents connect through APIs, function calls, search indexes, databases and controlled integrations. Retrieval can provide relevant documents, while tools let the agent perform approved actions in systems such as CRM or ERP software. Each connection needs scoped permissions, validation and logging.
A capable AI Agents expert can explain the intended workflow, failure cases and boundaries in plain language. Review how they test factual grounding, tool use, security, response quality and human escalation. A credible proposal includes evaluation scenarios and operational monitoring, not just a polished demo.
AI Agents are a poor fit when a deterministic rule, search interface or standard integration solves the task more safely. They also need caution where errors cannot be reviewed or where reliable source data is unavailable. A specialist should be willing to recommend a simpler solution when autonomous behaviour adds unnecessary risk.
The average hourly rate of freelancers in Austria who have used AI Agents in their recent projects is 103 €, which corresponds to a daily rate of about 824 € based on an 8-hour working day.
Of the freelancers in Austria who have used AI Agents in their recent projects, 100% hold at least a Bachelor's degree and 64% hold at least a Master's degree.
On average, freelancers in Austria who have used AI Agents in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Austria who have used AI Agents in their recent projects are German (100%), English (100%), and Spanish (13%).
The most common industries among freelancers in Austria who have used AI Agents in their recent projects are Information Technology (94%), Banking and Finance (75%), and Professional Services (69%).
The most common business areas among freelancers in Austria who have used AI Agents in their recent projects are Product Development (100%), Information Technology (94%), and Marketing (63%).
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.
Vienna Graz 
Vienna Countries:
- Germany
- Austria
- Switzerland
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Philipp Thomaschewski
FRATCH CEO
