Large Language Model Experts in Vienna
matched in minutes from over 15,000 CVsHire experts who design LLM applications, connect models to business data with retrieval-augmented generation, and build reliable prompts, evaluations and production workflows. FRATCH quickly matches you with vetted, available freelancers who fit your project.
Meet FRATCH Experts in Vienna, who have recently used Large Language Model
Alexander P.
Last position:
Owner & Lecturer at Own company for AI governance and data products, Vienna
- Consulting and interim management at the interface between IT operations and regulation
- Impact analysis and implementation planning for NISG 2026 and the EU AI Act, including risk management and reporting and evidence processes
- Training for governing bodies and employees on regulatory obligations
- Lectures in Data & Information Management and Human-Machine Interaction at University of Applied Sciences Burgenland, since 2023
- Supervision of master’s theses and participation in the examination board
- Presentations for business and educational institutions
- Design and development of data and AI products, platforms and pipelines
- Privacy-first architectures and zero-knowledge encryption, cloud-native on EU infrastructure
- MLOps and AIOps in live operations
- Own applications under own brand: shared codebase, separate delivery for each target device
- AI-assisted software development (vibe coding), complete agentic pipelines, code generation, implementation, automated testing, CI/CD and release cycles
- Publications on the EU AI Act, NIS2, DORA, CRA and CER as an integrated governance system
- Publications on data sovereignty, cloud economics and industrial image processing
- AI governance / compliance: data quality, Responsible AI, EU AI Act readiness, risk classification, AI ethics
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.
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
Fabio G.
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 B.
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 S.
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 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
Anton L.
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 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
Adrian I.
Last position:
Strategic Technology Leadership & Digital/AI Transformation at Adrian Ion Consulting
- VCs, investors & CEOs: build or scale technology development in your (portfolio) company
- CTOs & senior technology leaders: experienced sounding board
- Traditional industries: increase value or optimize operations through further digitalization and AI
- Young technical leaders: build your leadership skills, judgment on the technology-business connection, and strategic thinking while under pressure to deliver
Discover over 15,000 top freelancers
Statistics of experts using Large Language Model
Aggregated from the professional profiles of matched freelancers.
Experience
17 years
Position duration
1.9 years
Positions per freelancer
11
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, Project Management
Bachelor's degree or higher
100%
Master's degree or higher
79%
Doctorate
14%
Certifications per freelancer
3
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 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Large Language Model 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 (87%)
- Banking and Finance (73%)
- Professional Services (60%)
- Manufacturing (53%)
- Healthcare (40%)
- Retail (40%)
- Automotive (33%)
- Education (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What LLMs do
A Large Language Model processes and generates natural language by learning patterns from extensive training data. Companies use LLMs to create conversational assistants, document tools, search interfaces, summarisation workflows and software features that respond to users in natural language. The model may be accessed through an API, hosted in a private environment or embedded in a larger application.
Common applications
- Customer support assistants that retrieve approved answers
- Internal search across policies, contracts and technical documents
- Content classification, extraction and summarisation
- Copilots for sales, service, research and software teams
- Multilingual interfaces and voice-enabled workflows
The right approach depends on data sensitivity, response quality, latency, operating cost and the level of control the product requires.
Ecosystem and tooling
LLM work spans model providers such as OpenAI, Anthropic and Google, open-weight models, embedding services and vector databases. Specialists often use Python or TypeScript, orchestration libraries, retrieval-augmented generation, structured outputs, function calling and evaluation frameworks. Cloud deployment, observability, access controls and prompt versioning connect the model to a dependable product.
When to bring in specialists
Companies usually need freelance expertise when a prototype must become a reliable service, when internal documents need grounded answers, or when model output is inconsistent. Specialists can select an appropriate model, prepare data, design prompts, build retrieval pipelines and establish tests before wider rollout. In Vienna, they may support local product teams on-site or collaborate remotely across distributed organisations.
What strong professionals deliver
Strong Large Language Model professionals connect experimentation with measurable product requirements. They define useful evaluation sets, test hallucination and refusal behaviour, protect sensitive information and make fallback paths explicit. They also understand authentication, APIs, data pipelines, monitoring and user experience, rather than treating the model as an isolated feature.
Language and delivery choices
Projects serving customers in Vienna may need fluent German and English alongside careful handling of local terminology. A specialist should clarify whether data can leave the organisation, which model providers are acceptable and how human review fits the workflow. Good delivery includes maintainable integrations, documented prompts, repeatable evaluations and a clear plan for updating models and source content.
Frequently asked questions
Questions about Large Language Model? Start with the answers below.
Large Language Models are used for chat assistants, semantic search, document analysis, drafting, classification and workflow automation. They can also power natural-language interfaces for existing software when connected to business systems through controlled APIs.
An LLM can interpret varied language and produce flexible responses, while conventional search retrieves matching records and rules-based systems follow explicit logic. Many strong solutions combine them: retrieval supplies trusted information, rules enforce boundaries and the model handles language interaction.
A strong Large Language Model specialist often brings Python or TypeScript, API integration, data preparation, vector search and cloud deployment skills. Useful additional knowledge includes prompt design, retrieval-augmented generation, evaluation, security, observability and user experience.
The right level depends on the scope, data sensitivity and production risk, not on a fixed amount of experience. For a prototype, practical knowledge of an LLM API and evaluation may be enough; a customer-facing system requires evidence of reliable integrations, testing, monitoring and fallback design.
Large Language Model projects are often suitable for remote collaboration because code, prompts, evaluations and cloud environments can be shared securely. Vienna-based teams may still prefer on-site workshops for discovery, data access or stakeholder alignment, with German and English language expectations agreed early.
An LLM selection should reflect privacy requirements, deployment control, latency, language coverage, output quality and operating effort. GPT and other hosted models can speed up delivery, while an open-weight model may suit controlled environments or specialised workloads when the organisation can operate the required infrastructure.
Ask the Large Language Model freelancer to explain evaluation data, failure cases, grounding, access controls and monitoring in concrete terms. Review a small technical exercise or prior delivery for reproducibility, clear trade-offs and maintainable integration rather than judging a polished demo alone.
A Large Language Model brief should state the target users, source data, languages, security boundaries, integrations and acceptable response behaviour. Vienna teams should also clarify on-site workshops, remote access, German-language requirements and who will own prompts, evaluations and ongoing model operations.
The average hourly rate of freelancers in Vienna, Austria who have used Large Language Model in their recent projects is 108 €, which corresponds to a daily rate of about 862 € 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, 79% hold at least a Master's degree, and 14% hold a doctorate.
On average, freelancers in Vienna, Austria who have used Large Language Model 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 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 (87%), Banking and Finance (73%), and Professional Services (60%).
The most common business areas among freelancers in Vienna, Austria who have used Large Language Model in their recent projects are Information Technology (93%), Product Development (87%), and Business Intelligence (73%).
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.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
