Prompt Engineering Experts in Zurich
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Meet FRATCH Experts in Zurich, 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
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.
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
Discover over 15,000 top freelancers
Statistics of experts using Prompt Engineering
Aggregated from the professional profiles of matched freelancers.
Experience
22 years
Position duration
2.8 years
Positions per freelancer
10
Top business areas
Information Technology, Quality Assurance, Product Development
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
100%
Master's degree or higher
83%
Doctorate
17%
Certifications per freelancer
4
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 Zurich 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 Zurich 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 work of designing, testing, and improving prompts for large language models. It turns vague requests into clear instructions that produce useful, repeatable results. It is used for chat assistants, search, summarization, extraction, and workflow automation.
Common tools
- OpenAI, Anthropic Claude, and Gemini prompt patterns
- Few-shot examples and structured output formats
- Retrieval-augmented generation and tool use
- Evaluation sets, guardrails, and prompt versioning
Strong specialists know how to adapt prompts to the model, task, and risk level. They also understand when prompt work is enough and when the system needs better data, better retrieval, or tighter output controls.
Where it helps
Companies bring in freelance expertise when AI outputs are inconsistent, too verbose, or hard to trust. Common work includes customer support assistants, internal knowledge tools, content workflows, classification, and data extraction. In Zurich, this often matters for finance, insurance, legal, consulting, and international teams working in English and German.
What good work looks like
A strong professional does more than write clever prompts. They define the task clearly, check edge cases, document prompt behavior, and improve results through iteration.
- Clear instructions and scoped objectives
- Structured prompts for reliable formatting
- Testing across real user inputs
- Safety, tone, and refusal handling
- Notes that teams can maintain later
Typical project fit
Prompt engineering is useful for pilots, product launches, and teams that already use an LLM but need better results. It is also common when a company wants to compare prompt design, prompt writing, and model settings before committing to a larger build. Freelancers can work remotely or on-site in Zurich, depending on access to stakeholders and sensitive material.
Related skills
Prompt engineering often goes with Python, APIs, vector databases, evaluation methods, and product thinking. Many specialists also understand retrieval, human review loops, and structured content design. That mix helps turn prompts into working systems rather than one-off experiments.
Frequently asked questions
Everything clients usually want to know about Prompt Engineering, in one place.
Prompt engineering is the practice of shaping instructions for large language models so they produce more accurate, useful, and consistent answers. It is used for chatbots, summarization, extraction, classification, and other text-heavy tasks. Good work makes the model easier to control without overcomplicating the setup.
Prompt engineering is the broader discipline. Prompt design and prompt writing are common terms for parts of the same work, especially when people focus on wording, structure, or examples. In practice, companies care less about the label and more about whether the specialist can get stable results.
Hire a prompt engineering freelancer when outputs vary too much, the prompt flow is hard to maintain, or a pilot needs to become a dependable feature. It also helps when a team needs fast help with evaluation, prompt iteration, or safe output formatting. If the issue is data quality or retrieval, a strong specialist will say so.
A strong prompt engineering specialist usually understands LLM behavior, structured outputs, testing, and basic API integration. Useful adjacent skills include Python, retrieval-augmented generation, and evaluation design. Communication matters too, because the work often sits between product, operations, and technical teams.
A prompt engineering project does not always need a large setup, but it does need someone who can test prompts against real inputs. For simple tasks, a focused specialist can move quickly. For customer-facing or regulated use cases, you want someone who can document decisions and spot failure modes early.
For many prompt engineering projects, yes. Remote collaboration works well when the specialist can review examples, test outputs, and align with the team on requirements. On-site time in Zurich can help when the work involves sensitive material, close stakeholder feedback, or bilingual workflows.
Look for evidence that the prompt engineering specialist can explain trade-offs, improve weak outputs, and define a clear test set. Strong work is repeatable, readable, and easy for the team to maintain. Be careful with anyone who only shows polished demo results but no testing approach.
Prompt engineering is common in support assistants, knowledge search, content drafting, data extraction, and internal copilots. It also shows up in workflow automation where the model must follow strict formats. The best projects combine a clear task, good examples, and a way to review output quality.
The average hourly rate of freelancers in Zurich, Switzerland who have used Prompt Engineering in their recent projects is 114 €, which corresponds to a daily rate of about 912 € based on an 8-hour working day.
Of the freelancers in Zurich, Switzerland who have used Prompt Engineering in their recent projects, 100% hold at least a Bachelor's degree, 83% hold at least a Master's degree, and 17% hold a doctorate.
On average, freelancers in Zurich, Switzerland who have used Prompt Engineering in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 2.8 years.
The most common languages among freelancers in Zurich, Switzerland who have used Prompt Engineering in their recent projects are German (100%), English (100%), and Spanish (33%).
The most common industries among freelancers in Zurich, Switzerland who have used Prompt Engineering in their recent projects are Information Technology (100%), Banking and Finance (67%), and Professional Services (50%).
The most common business areas among freelancers in Zurich, Switzerland who have used Prompt Engineering in their recent projects are Information Technology (100%), Quality Assurance (100%), and Product Development (83%).
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.
Countries:
Zurich 
Geneva Basel Bern Request a free demo
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Philipp Thomaschewski
FRATCH CEO
