Prompt Engineering Experts in Switzerland
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Meet FRATCH Experts in Switzerland, who have recently used Prompt Engineering
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
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
Ahmed Rehman
Last position:
AI & Automation Engineer at Teosek GmbH
- Build prototypes, expand AI skills, and practical application in a startup context.
- Transition phase: further training in prompt engineering, APIs, AI, working on independent prototype projects, and collaborating at a friend's startup.
- Technologies: LangChain, REST, Python, Java, JS, TS, Node.
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.
Csaba Kéri
Last position:
ServiceNow Consultant at DXC
- Worked in mixed teams with several clients
- Performed requirement engineering, proposal and time estimation
- Developed ACLs, business rules, flows, workflows, catalog items, various scripts, UI actions, policies, scoped applications
- Customized mobile apps: Now Agent and Now Mobile
- Implemented integrations using the Integration Hub
- Coordinated continuously with clients during development
- Performed testing and helped clients with testing
- Deployed to production and applied main version upgrades and patches
- Managed CMDB, domain separation and asset management
- Integrated between instances at different clients
- Developed GlideScript: business rules, scripted REST endpoints, extension points, fix scripts, background scripts
Klaus Finneiser
Last position:
Freelancer at 3P Quality Consulting
Data integrity training (basic and advanced training content)
Root cause analysis and CAPA courses for 40+ employees
Risk-Management system design for quality oversight
SOP writing excellence, including use of AI tools (prompting)
Implementation of an audit remediation program as person in the plant (PIP)
Director of a quality assurance department (6 direct reports), budgeting
Development of use cases for ChatGPT in GxP context (6 months, part-time)
Reengineering of processes for a MA holder of generic products, valued operational improvements (Germany, Spain)
eQMS and document management system: delivery of the business case and investment recommendation
Analytical method validation, process and computer system validations, batch record review, PQR reviews
Articles in international journals and LinkedIn on modular QMS-design, risk-management in the supply chain, knowledge management, use of AI for compliance improvements
Ned O’hara
Last position:
Tech Lead at R3leaf GmbH
- Autonomously drafted architecture and delivered production code at startup pace
- Wrangled diverse geospatial formats (NETCDF, GeoTIFF, GML) into unified standards and built scalable climate data visualisations from hundreds of GBs of geodata in a production web app
- Mentored developers, facilitated AI skill sharing, and contributed to competitive strategy with C-Level leadership
Sigrid Andersen
Last position:
CAS Autism and ADHD Coach
- Writing in plain and autism-friendly language
- Participation in research projects on autism
- Lectures and collaborations with international autism experts
- Translations
- Volunteer work on the board of the umbrella association 'Neurodiversity' and as lead of the Work and Career specialist group with responsibilities: public relations and communication, project management, study coordination, newsletter editing, web design and website maintenance, content creation, social media, concept development and project coordination, creating university courses, workshops and seminars, and designing informational brochures.
Discover over 15,000 top freelancers
Statistics of experts using Prompt Engineering
Aggregated from the professional profiles of matched freelancers.
Experience
21 years
Position duration
2.6 years
Positions per freelancer
10
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Professional Services, Education
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
90%
Master's degree or higher
60%
Doctorate
20%
Certifications per freelancer
4
Most common languages
German, English, 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 Prompt Engineering
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
Prompt engineering is the craft of writing, refining, and testing prompts for large language models. It is used to steer outputs for chat assistants, content workflows, search, summarization, classification, and agent steps. Strong specialists focus on clarity, context, constraints, and repeatable results.
Common work
- Prompt design for ChatGPT, Claude, Gemini, and similar tools
- Prompt chains for multi-step LLM workflows
- Output templates for support, sales, research, and content tasks
- Evaluation sets to compare prompt versions
Tools and methods
The work often sits next to retrieval-augmented generation, vector search, function calling, and structured outputs. Experts also use versioned prompt libraries, test cases, and manual review loops. Good work is less about clever wording and more about control, consistency, and safe failure modes.
When companies bring in help
Teams often need freelance expertise when an LLM feature is close to launch, output quality is unstable, or internal teams need a second pair of eyes. In Switzerland, this is common for finance, pharma, insurance, industrial software, and multilingual customer support. Remote work is normal, but workshops on-site can help when stakeholders need tight review cycles.
What strong specialists do
Strong professionals translate business goals into prompt instructions that models can follow. They know how to reduce hallucinations, handle edge cases, and adapt prompts for different languages, tones, and data sources. They also document what works so product and engineering teams can maintain it.
Signals you need this skill
- LLM answers change too much between runs
- Prompts are hard to reuse across teams
- Responses need stricter format or tone control
- Your team is moving from prompt writing to production use
- You need prompt design plus evaluation and guardrails
Frequently asked questions
Questions about Prompt Engineering? Start with the answers below.
Prompt Engineering is used to guide LLMs toward useful, consistent outputs. Companies use it for chat assistants, internal knowledge tools, document summaries, content drafts, classification, and workflow automation. It matters most when the model must follow a format, a tone, or a business rule.
Prompt Engineering is often described with terms like prompt design or prompt writing, but the scope can be wider. Good work includes testing, iteration, evaluation, and guardrails, not just wording. In practice, companies usually care about the result: stable outputs that fit the use case.
Prompt Engineering changes how you ask the model, while fine-tuning changes the model itself. Many teams start with prompts because they are faster to test and easier to revise. Fine-tuning can help in narrow, stable tasks, but prompts are often the first step before that decision.
A strong Prompt Engineering specialist usually understands LLM behavior, retrieval-augmented generation, evaluation methods, and structured output design. Knowledge of Python, API-based integrations, and prompt versioning tools is also useful. For production work, they should think about error handling and review loops, not only prompt text.
A Prompt Engineering project can be simple or highly technical. A short internal workflow may need only a focused specialist, while a customer-facing assistant with guardrails, retrieval, and evaluation needs deeper experience. The key is whether the work is exploratory or already moving into production.
Yes, Prompt Engineering work is often done remotely because prompts, tests, and reviews can be shared online. In Switzerland, remote collaboration works well for distributed product teams, while on-site sessions can help with workshops, stakeholder alignment, and live evaluation. Language requirements may matter when the system must serve German, French, or English users.
A good Prompt Engineering specialist can show before-and-after examples, explain why a prompt works, and describe how they tested it. Look for structured evaluation, handling of edge cases, and clear documentation. If the person only talks about clever prompts and not about consistency, that is a warning sign.
Before hiring a Prompt Engineering freelancer, prepare sample inputs, desired outputs, and the business rules the model must follow. If you already use ChatGPT, Claude, or another LLM, share current prompts and known failure cases. That gives the specialist a clear starting point and speeds up the first review cycle.
The average hourly rate of freelancers in Switzerland who have used Prompt Engineering in their recent projects is 122 €, which corresponds to a daily rate of about 977 € based on an 8-hour working day.
Of the freelancers in Switzerland who have used Prompt Engineering in their recent projects, 90% hold at least a Bachelor's degree, 60% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers in Switzerland who have used Prompt Engineering in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 2.6 years.
The most common languages among freelancers in Switzerland who have used Prompt Engineering in their recent projects are German (100%), English (100%), and French (36%).
The most common industries among freelancers in Switzerland who have used Prompt Engineering in their recent projects are Information Technology (82%), Professional Services (55%), and Education (45%).
The most common business areas among freelancers in Switzerland who have used Prompt Engineering in their recent projects are Information Technology (82%), Product Development (82%), and Quality Assurance (73%).
Main locations of FRATCH Experts, who have recently used Prompt Engineering
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
