Large Language Model Experts in Vienna
in minutes from over 15,000 CVs with the power of AI.Hire experts who design, fine-tune, and integrate LLM systems for chat, search, and automation. Get specialists who understand prompt design, retrieval-augmented generation, and evaluation, with fast, precise matching to vetted and available freelancers.
Meet FRATCH Experts in Vienna, who have recently used Large Language Model
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
Fabio Galvagni
Last position:
IT Architect, Requirements Analyst and Consultant at CANCOM
- Supports CANCOM customers in migrating legacy on-prem systems to Microsoft Fabric and Microsoft Foundry
- Takes over and stabilizes existing solutions after a short handover
- Business analysis and requirements engineering for migration to a new cloud environment
- Optimization of machine learning models for feature extraction and customer profiling
- Ensures data protection and compliance
- Leads the migration of on-prem systems to Microsoft Fabric
- Designs new AI platforms for clients
- Tests the integration of chatbots for document intelligence with Microsoft Foundry, including requirements analysis, implementation, validation, and client communication
Thomas Becker
Last position:
Agile Coach, Scrum-Master at ÖBB (Infra)
- Challenge: poor project results and team performance, very poor work environment
- Solution: introduction of agile planning processes, teaching agile principles within the SAFe framework
- Innovation: consistent use of agile methods; introduction of requirements engineering, story writing
- Leadership: interface with the board, program management Opel Europe, GM USA and international markets
- Result: most productive team in the ART; increased planning accuracy to over 85%
- Team size: 10
Slavi Slavev
Last position:
Head of AI Enablement at REEVO Tech
- Architected enterprise AI strategy delivering 25% cost reduction through multi-LLM platform integration (Claude, OpenAI, Gemini) with intelligent routing and fallback optimization
- Drove operational excellence achieving 85% reduction in manual documentation and 3x faster campaign production through AI workflow automation and agent deployment across Slack and Microsoft Teams
- Established AI governance framework from ground up, implementing EU AI Act compliance, data redaction protocols, and safety filters aligned with DPIA standards
- Scaled AI adoption through structured onboarding programs, developing departmental workflows with secure access controls and comprehensive audit trails
- Implemented advanced RAG systems using Elasticsearch, Vertex AI, and Azure AI Foundry to improve knowledge access and output reliability
- Managed delivery through OKR framework coordinating cross-functional squads across 6-week project cycles to ensure strategic alignment and measurable results
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
Anton Laza
Last position:
CISO & Interim DPO at Finmatics GmbH
- Built the company’s entire security function from zero to ISO-aligned, audit-ready operation (ISO 27001, GDPR, NIS2).
- Delivered enterprise-grade security posture enabling regulated customer onboarding and due-diligence success.
- Embedded automated security controls (SAST, DAST, secrets, vuln scanning) into CI/CD for a growing SaaS engineering team, removing security as a deployment bottleneck.
- Cut third-party risk exposure by ~70% by replacing manual vendor reviews with an automated, LLM-driven risk scoring and approval pipeline.
- Led board-level security, customer audits, and live incident response.
Christian Mayr
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 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 Large Language Model
Aggregated from the professional profiles of matched freelancers.
Experience
15 years
Position duration
1.8 years
Positions per freelancer
12
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
100%
Master's degree or higher
82%
Doctorate
9%
Certifications per freelancer
3
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 Large Language Model
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 it is
Large Language Model work centers on systems that understand and generate text, and often code or structured answers too. Companies use LLMs for assistants, document workflows, search, summarization, and internal knowledge tools. The field is often searched as LLM or by model names such as GPT and Claude.
Common uses
- Chatbots and agent flows for customer or internal support
- Retrieval-augmented search over company documents
- Content drafting, classification, and extraction
- Code help, review support, and technical Q&A
These projects need more than prompt ideas. They need clear system design, careful testing, and controls for quality, safety, and cost.
Stack and skills
Strong professionals work across prompts, embeddings, vector search, APIs, and orchestration layers. They also know how to connect models to data sources, add guardrails, and measure answer quality. In Vienna, this often means fitting LLM features into enterprise systems with multilingual content and strict review steps.
When to bring one in
- You need to move from a prototype to a reliable service
- Your answers are inaccurate, slow, or inconsistent
- You need model selection, tuning, or evaluation help
- You want document-heavy workflows to run with less manual work
Freelance expertise helps when an internal team lacks time or deep LLM experience. It also helps when the use case is new and the right approach is still unclear.
What strong experts do
Good specialists do not just call a model API. They define the use case, shape prompts, choose the right retrieval setup, test edge cases, and improve outputs with real feedback. They can work with product, data, and security teams, and they know when a smaller model is enough.
Working style
Many LLM projects fit remote work well, especially for design, integration, and review. On-site sessions in Vienna can help when the work depends on internal documents, stakeholder alignment, or sensitive data access. Strong specialists communicate clearly and leave behind maintainable flows, test cases, and documentation.
Frequently asked questions
Questions about Large Language Model? Start with the answers below.
A Large Language Model is used to generate and transform language for real business tasks. Common use cases include support chat, document search, summarization, classification, and structured extraction from text. Many teams also use LLMs to help with code and knowledge access.
No. LLM is the general term for the technology class, while GPT and Claude are model families or product names built on that idea. Companies usually search for LLM experts when they want help choosing between model options, setting up prompts, or connecting a model to their data.
A strong Large Language Model specialist usually knows retrieval-augmented generation, embeddings, vector databases, API integration, and output evaluation. Good work also depends on data handling, safety controls, and practical testing with real user queries. Prompt writing alone is rarely enough for a dependable system.
A small proof of concept may only need one specialist who can shape the flow and connect the model. A production setup usually needs someone who understands quality checks, failure handling, and data access rules. The more important the workflow, the more experience the LLM expert should have with deployment and evaluation.
Bring in a Large Language Model freelancer when the team needs focused expertise fast, or when the work sits outside the normal product stack. This is common for short builds, model comparison work, or cleanup after an early prototype. It also helps when internal people know the business problem but not the model mechanics.
Yes, much of this work is well suited to remote collaboration. A Large Language Model specialist can usually handle prompt design, integration, and evaluation without being on site every day. On-site time in Vienna is useful when teams need access to sensitive documents or close workshops with many stakeholders.
Look for clear thinking about use cases, failure modes, and evaluation, not just demo results. A good LLM specialist can explain why a design choice was made, how answers will be checked, and how the system will stay useful as data changes. Ask for examples of shipped work, test methods, and the way they handled bad outputs.
A Large Language Model project often touches retrieval systems, vector search, cloud APIs, workflow tools, and sometimes Python or TypeScript integration code. Depending on the use case, it may also involve document pipelines, access control, and analytics. The best specialists can work across those pieces without making the system brittle.
The average hourly rate of freelancers in Vienna, Austria who have used Large Language Model in their recent projects is 105 €, which corresponds to a daily rate of about 843 € based on an 8-hour working day.
Of the freelancers in Vienna, Austria who have used Large Language Model in their recent projects, 100% hold at least a Bachelor's degree, 82% hold at least a Master's degree, and 9% hold a doctorate.
On average, freelancers in Vienna, Austria who have used Large Language Model in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Vienna, Austria who have used Large Language Model in their recent projects are German (100%), English (100%), and Spanish (33%).
The most common industries among freelancers in Vienna, Austria who have used Large Language Model in their recent projects are Information Technology (83%), Banking and Finance (67%), and Professional Services (58%).
The most common business areas among freelancers in Vienna, Austria who have used Large Language Model in their recent projects are Information Technology (92%), Product Development (83%), and Business Intelligence (75%).
Main locations of FRATCH Experts, who have recently used Large Language Model
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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We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
