Large Language Model Experts in Switzerland
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Meet FRATCH Experts in Switzerland, who have recently used Large Language Model
Vincent Verdet
Last position:
IT Business Partner & Enterprise Architect at Sulzer
- Established the Enterprise Architecture function from the ground up for Sulzer Group (~13,500 employees, CHF 3.6B revenue)
- Defined the Technical Governance framework, Target Operating Model, and IT PMO foundation now governing architecture decisions and portfolio demand across all divisions.
- Deployed SAP LeanIX as the authoritative application portfolio system of record - catalogued 500 applications group-wide (140 for Chemtech), onboarded business and IT stakeholders, and initiated integration with ServiceNow to embed architecture data into operational workflows.
- Led the divisional & group wide Application Rationalization initiative
- Decommissioned 15% of the 140 applications Chemtech portfolio, delivering CHF 627k in run-rate savings over two years and materially reducing licensing and support exposure.
- Defined and executed the divisional AI Roadmap in partnership with Sales, Legal, and R&D leadership
- Delivered 4 AI solutions into production (including Sales process harmonization and LLM-based IP conflict detection) from a portfolio of 7 prioritized initiatives.
- Built and owned the 3-year IT Strategic Roadmap for Chemtech
- Aligned cloud and technology architecture with divisional business priorities and a CHF 1.5M annual investment envelope.
- Delivered CHF 500k in cost avoidance by challenging and discontinuing funded but low-value initiatives, demonstrated governance discipline and executive influence, with zero implementation spend.
Matthias Sauer-Rank
Last position:
Lecturer Software Management, 10% at FH Graubünden
- Design and delivery of the university module "Software Management" in the Bachelor's program Artificial Intelligence in Software Engineering
- Teaching software project management, project organization, stakeholder management, risk and quality management, as well as agile and hybrid project steering
- Covering release planning, cut-over, go-live, handover to operations, and the operational impact of technical decisions
- Developing a case study across the semester for practical application of the methods taught
- Designing lectures, group work, risk and decision workshops, and practice-oriented assessments
- Combining methodological fundamentals with experience from software development, customer projects, delivery, release, testing, and IT operations
- Use of AI in software and project management
Methods and tools: Software project management, HERMES, PRINCE2, Scrum, Kanban, hybrid delivery models, requirements engineering, risk and quality management, release management, test management, Moodle
Gwang Jin Kim
Last position:
Data Scientist / Applied AI, Automation & Data Systems Researcher at Independent
- Built and explored applied GenAI, RAG, GraphRAG, local LLM, agentic AI and document-intelligence prototypes for structured analysis, evidence extraction, semantic search, technical reasoning and decision-useful reporting
- Developed private local-LLM workflows and AI system patterns focused on privacy, reproducibility, reviewability, low-cost inference and practical user control
- Built reproducible Python/R workflows for data analysis, automation, API-driven tooling, validation logic, technical documentation and AI-assisted software development
- Designed workflows around explicit assumptions, traceable inputs, reviewable outputs and failure-mode awareness rather than black-box “looks good” demonstrations
- Supported RAHN AG in a chemical/regulatory environment with data extraction and processing around WERCS, a regulatory application for chemical product and compliance data
- Explored complex application/database schemas and wrote nested SQL queries to extract information for mixture calculations, component relationships, regulatory rules and reporting logic
- Continued hands-on development in Git/GitHub/GitLab/Bitbucket, Docker/Linux deployment patterns, REST/API workflows, error handling, technical writing and fast AI-assisted prototyping
- Built technical writing and documentation workflows that turn complex systems into clear runbooks, checklists, decision notes and user-facing explanations
Robin Ochsner
Last position:
Co-Founder & AI Solutions Architect at airdys
- Product strategy, architecture, and technical co-direction
- AI workshops, client onboarding and go-to-market activities
- Design and implementation of AI architectures (LLMs, RAG, MCP, agents, voice, automation)
- Hands-on development of prototypes and production-ready AI integrations
- Consulting clients on AI adoption, workflows, and integration into existing infrastructure
- Collaboration with co-founders on strategic direction
- Collaboration in sales and customer acquisition
Tools and Technologies: OpenAI, Anthropic, Azure, Vercel AI SDK, RAG (Retrieval-Augmented Generation), MCP (Model Context Protocol), FastAgent, VAPI, n8n, make.com, LibreChat, PostgreSQL, OpenAPI, Next.js, Vercel, Docker
Mike Battistella
Last position:
Freelance UX-Researcher, -Designer at Companion Hub
UX research and UX concepts for an assisted living application with QT client dashboard/video application and web interface for client support
Ralf Ramge
Last position:
Security Architect at Federal Employment Agency
Responsibility for the design, migration, and integration of a security- and audit-critical HashiCorp Vault platform in the trust center of a nationwide authority with system-critical importance.
Analysis and realignment of the existing HashiCorp Vault landscape, including production and planned use cases
Design, proof-of-concept, migration, and integration of HashiCorp Vault Enterprise, taking into account the authority's PKI and operational processes
Design and implementation of an automated certificate and secrets management system for 300 Kubernetes clusters and several thousand certificates in the trust center
Securing the Vault platform using hardware security modules (HSM)
The solution enables a highly available, audit-compliant, and automated operation of certificate and secrets use cases in a highly regulated environment.
Technologies used: HashiCorp Vault Enterprise, Terraform, Ansible, OpenSSL, PKI, HSM
Daniel Schmidt
Last position:
Senior Manager at devpoint GmbH
- Design and co-implementation of an insolvency management platform in Germany for a client (based on an AI development tool)
- Concept, requirements engineering, and implementation support for a Dubai-based company to integrate processes into a CRM
- Business analysis and requirements engineering at Swisscom for integrations
- Integration of a new knowledge management system into the business processes at Swisscom AG – REST API definition
- Project manager, consultant, and sparring partner for the realignment/process digitalization at GIB Solutions AG
- Process designer and prototype for an AI-based real estate marketing system in Dubai
- Interim head of the ICT department at a telecom company, reorganizing and optimizing processes with a team of 5 at GIB Solutions AG
- Agile requirements engineer / external PO for a web-based solution for the German company DEHN AG
- Project management and consulting for the existing marketing and campaign planning solution at Swisscom AG
- Building the ALoHA nearshore offering at devpoint
Stefan Hess
Last position:
Fullstack Development, Product Owner & Tech Lead at Trex AG
- Business analysis, architecture, and implementation of a telemedicine platform for pet owners.
- Leading the development team as Product Owner and Tech Lead.
- Introducing agile processes, setting up development guidelines and system documentation.
- Planning and implementing features like video calls, live chat, and marketing automation.
- Implementing AI-based features such as automated tagging of information (missing pet reports, marketplace entries, etc.), preparation of social media content, and processing of conversation transcripts.
- Skills: Angular, NGXS, Tailwind, Java, Spring Boot, Kubernetes, Docker, CI/CD, MySQL, LLMs, RAG, MCP, Redis, OpenSearch.
- Industry: Veterinary medicine.
Matthias Isler
Last position:
Fractional CTO (Principal Engineer / Technical Architect)
- Designed large-scale systems and APIs serving thousands of concurrent users.
- Refactored a 650k-LOC monolith and led full AWS migration for stable performance.
- Introduced SLO-based observability, improving reliability and recovery flow.
- Optimised cloud and databases, achieving significant cost and latency reduction.
- Delivered LLM, RAG, and document-automation pipelines adopted in production.
Georgios Sfakianakis
Last position:
Senior Software Engineer at UBS Bank
- Implementations of a code refactoring framework able to refactor thousands of repositories leveraging Generative AI
- Use Python (Django, Flask, FastAPI), Java and Typescript in Azure Cloud (Data Lake, VMs, AI) and GitLab infrastructure
- Mentoring and pair programming
- Obtained Azure AI-900 and AI-102 certifications
Karl Estermann
Last position:
incl. CI/CD, automation at AALS Software AG
- Designed and delivered a practical real-time course on Flink and Hadoop with MapReduce, HDFS, Spark, Flink, Hive, HBase, MongoDB, Cassandra, and Kafka
- Gained extensive DevOps and CI/CD experience
- Created ETL/ELT pipelines with Apache tools and Pentaho
- Led projects in municipal software, financial services, and big data with Kafka
- Developed AI/NLP models and chatbots with RASA, Chatter, and Dialogflow
- Built and managed a TypeDB knowledge database
- Worked with OpenStack, Kubernetes, and Podman
Kevin Liehn
Last position:
Interim E-Commerce SME Consultant – Special Accounts at LÖWENSTARK Online Marketing GmbH
- Support of strategic clients 7-8 digit revenue (FMCG, textile & household goods) for marketplaces such as Amazon, ebay, Otto Markets, Conrad, Kaufland
- Strategic consulting, expansion workshops & campaign management
- Management of interfaces & listing feed tools: Channable, Perpetua, Magnalister, Marketplace Connect, Mirakl
Discover over 15,000 top freelancers
Statistics of experts using Large Language Model
Aggregated from the professional profiles of matched freelancers.
Experience
22 years
Position duration
2.3 years
Positions per freelancer
12
Top business areas
Information Technology, Product Development, Project Management
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%
Doctorate
18%
Certifications per freelancer
3
Most common languages
English, German, French
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 Switzerland 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 Switzerland 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 covers
Large language models, or LLMs, are used to generate text, classify content, answer questions, and extract meaning from large document sets. They sit behind chat assistants, search helpers, drafting tools, and internal knowledge systems. Strong work starts with the right model choice and a clear task.
Common deliverables
- Chat and copilot features for websites and internal tools
- Retrieval-augmented generation with company documents
- Prompt design, guardrails, and response formatting
- Text extraction, summarization, and classification flows
- Evaluation sets for quality, safety, and consistency
Skills around the model
Good specialists understand prompt design, context windows, token limits, embeddings, vector search, and structured outputs. They also know how to test hallucinations, reduce noise, and connect the model to APIs, databases, and search layers. In practice, this often means working with OpenAI models, Azure OpenAI, Anthropic Claude, or open-source LLM stacks.
When companies bring in help
Companies usually look for freelance expertise when they want to move from demos to dependable systems. That includes product teams building search or assistant features, operations teams automating document handling, and regulated firms that need control over outputs and data flow. In Switzerland, this work often sits close to multilingual content and strict review processes.
What strong professionals do
A strong specialist does more than write prompts. They define failure cases, measure output quality, design fallback paths, and keep the system useful when the model is uncertain. They also document what the model should never do, which inputs it can see, and how humans step in when needed.
Typical project shape
Many LLM projects start with one narrow use case and expand after testing. A good setup may include a clean knowledge base, retrieval logic, prompt templates, evaluation checks, and clear handoff rules for reviewers. For Swiss teams, remote collaboration often works well, but on-site sessions can help when the project depends on sensitive data, internal workflows, or multilingual review.
Frequently asked questions
Questions about Large Language Model? Start with the answers below.
A Large Language Model is used to generate drafts, answer questions, summarize documents, classify text, and power assistants that work with natural language. In real projects, it often sits inside search, support, knowledge access, or workflow automation rather than acting as a standalone chatbot.
A LLM can handle open-ended language and adapt to new phrasing, while rules-based assistants follow fixed paths and scripted answers. That makes it better for drafting, reasoning over text, and flexible question answering, but it also needs stronger controls and testing.
A strong Large Language Model specialist usually brings retrieval, embeddings, prompt design, API integration, and evaluation skills. Data handling matters too, especially when the system must use internal documents, produce structured output, or follow approval steps.
You do not need a fully finished spec, but you should know the target use case, the source data, and what a good answer looks like. The best LLM projects start with a narrow workflow, clear success criteria, and a list of known risks such as hallucination or data leakage.
For many Large Language Model projects, remote work is enough because most tasks involve prompts, evaluation, and API-based integration. On-site time can help when teams need access to sensitive material, stakeholder workshops, or multilingual review sessions across Swiss offices.
Look for people who can explain trade-offs, not just run a demo. A good LLM specialist can show prompt versions, evaluation results, fallback logic, and examples of how they handled bad answers, safety issues, or weak source data.
Teams often compare a Large Language Model solution with search, rules, templates, or simpler text classification. If the task needs flexible language understanding or draft generation, an LLM may fit well; if the output must be exact and repetitive, a simpler approach can be better.
A careful Large Language Model freelancer will ask where the data comes from, who reviews outputs, and what the system must never do. They should also clarify language needs, especially if the project in Switzerland must support German, French, or English in the same workflow.
The average hourly rate of freelancers in Switzerland who have used Large Language Model in their recent projects is 119 €, which corresponds to a daily rate of about 949 € based on an 8-hour working day.
Of the freelancers in Switzerland who have used Large Language Model in their recent projects, 100% hold at least a Bachelor's degree, 64% hold at least a Master's degree, and 18% hold a doctorate.
On average, freelancers in Switzerland who have used Large Language Model in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 2.3 years.
The most common languages among freelancers in Switzerland who have used Large Language Model in their recent projects are English (100%), German (92%), and French (50%).
The most common industries among freelancers in Switzerland who have used Large Language Model in their recent projects are Information Technology (92%), Banking and Finance (67%), and Professional Services (58%).
The most common business areas among freelancers in Switzerland who have used Large Language Model in their recent projects are Information Technology (100%), Product Development (83%), and Project Management (67%).
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.
Zurich Request a free demo
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Philipp Thomaschewski
FRATCH CEO
