Prompt Engineering Experts in Switzerland
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Meet FRATCH Experts in Switzerland, who have recently used Prompt Engineering
Matthias S.
Last position:
Lecturer in Software Management at GraubĂĽnden University of Applied Sciences
- Design and delivery of the university module “Software Management” in the Bachelor’s degree program in Artificial Intelligence in Software Engineering
- Teaching software project management, project organization, stakeholder management, risk and quality management, and agile and hybrid project management
- Coverage of release planning, cut-over, go-live, handover to operations, and the operational impact of technical decisions
- Combining methodological foundations with experience from software development, customer projects, delivery, release management, testing, and IT operations
- Use of AI in software and project management
Methods and tools: Software project management, HERMES, PRINCE2, Scrum, Kanban, hybrid approaches, requirements engineering, risk and quality management, release management, test management, Moodle
Christophe L.
Last position:
Independent ML/AI Consultant
AI platforms
- Contributing to the training of all top 5 US large language models through multilingual ML projects, spanning RLHF, evaluations, rubrics, conversations and safety initiatives
- Working across a diverse range of training methodologies, supporting model alignment and quality improvement in multiple languages
Mohamad K.
Last position:
Senior Backend Developer at Standing on Giants
- Led architecture and end-to-end engineering delivery for community-driven SaaS platforms serving 2M+ monthly active users.
- Architected and led the migration of a monolithic Python/FastAPI and PostgreSQL database and LangChain with codebase to an event-driven microservices architecture on AWS EKS, sustaining 10x traffic growth from ~150 RPS to 1,500+ RPS with zero re-architecture cycles.
- Defined and enforced engineering standards across services including API contracts, observability baselines, and deployment topology, reducing production incidents by 55% and MTTR from 2 hours to under 25 minutes within 9 months.
- Redesigned the caching and query layer using multi-tier Redis caching and database indexing/partitioning, cutting p95 API latency from 850ms to 180ms (78% reduction) and database CPU load by 45%.
- Built CI/CD platform on GitHub Actions, Terraform, and Kubernetes (EKS) with blue-green and canary rollouts, increasing deployment frequency from ~2/month to 8-12/day and reducing lead time from 10 days to under 6 hours.
- Implemented contract testing, automated load testing, and observability SLOs using Prometheus, Grafana, and OpenTelemetry, raising platform availability from 99.5% to 99.95% (10x reduction in error budget burn).
- Led and grew a cross-functional team of 8 engineers across backend, frontend, and DevOps, scaling headcount from 4 to 8 with 85% retention; owned hiring, onboarding, performance reviews, and career development.
- Partnered with Product, Design, and Client Success leadership as primary technical decision-maker; translated business goals into technical roadmaps and drove build-vs-buy decisions on authentication, search, and AI tooling.
- Introduced AI-assisted development workflows including automated code review and a RAG-based internal knowledge assistant using Graph (GraphRAG, Neo4J), increasing sprint throughput by 30% across two quarters.
- Owned incident command and production support rotation; established runbooks, postmortem culture, and on-call SLOs, reducing weekend paging incidents by 70%.
- Developed and optimized Algorithms using python libraries like Numpy and Pandas.
Ralf R.
Last position:
Infrastructure-as-Code Transformation Architect at ODDO BHF
Responsible for designing and delivering a company-wide, comprehensive Infrastructure-as-Code (IaC) transformation in a regulated banking environment.
Conducted an assessment of the current infrastructure, processes, tools, teams, ways of working and skill profiles as a basis for the target architecture and a PDO (Product-Driven Organization)
Defined a tailored, audit-ready Everything-as-Code infrastructure (including governance, security and compliance)
Built a comprehensive IaC operating model, integrating and transforming internal teams
Designed standardised, reusable Terraform modules for infrastructure and platform services
Integrated secrets management, PKI and Encryption-as-a-Service to secure critical VMware and Kubernetes platform components and stored data
Implemented the platform in line with regulatory requirements (DORA, BaFin, ACPR, CRA), with a focus on auditability and traceability
The initiative provides the foundation for standardised, automated and audit-ready infrastructure, reduces manual intervention and enables scalable, traceable delivery of IT resources in a banking environment.
Kawahya T.
Last position:
Public Health Expert - Contract at Mercor
- Contributed to Project Atlas as a domain expert supporting the design of realistic, long-horizon professional tasks for AI agent evaluation. Developed complex, public health-relevant workflows that test an AI agent's ability to navigate ambiguous prompts, synthesise information across distributed files and systems, manage multi-step dependencies, handle errors, and produce high-quality professional deliverables.
- Applied public health expertise to design task scenarios involving emergency preparedness, operational readiness, health systems strengthening, risk assessment, surveillance, and policy-oriented decision-making. Responsibilities included creating task prompts, golden solutions, rubrics, and evaluation criteria aligned with real-world professional standards. At the same time, ensuring outputs were action-focused, ethically grounded, and suitable for assessing advanced AI performance in realistic organisational environments.
Robin O.
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
Gwang Jin K.
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
Ahmed R.
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 H.
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 I.
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 K.
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 F.
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.
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 A.
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
11
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Healthcare
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
92%
Master's degree or higher
69%
Doctorate
23%
Certifications per freelancer
3
Most common languages
English, German, French
Speak two or more languages
100%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Switzerland are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging 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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Prompt Engineering 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 (79%)
- Banking and Finance (57%)
- Healthcare (50%)
- Professional Services (43%)
- Education (36%)
- Government and Administration (36%)
- Energy (21%)
- Insurance (21%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Prompt Engineering Does
Prompt Engineering is the disciplined design of instructions for large language models and other generative AI systems. It turns a business goal into prompts that guide models toward useful, consistent and controllable outputs. The work can support chat assistants, document analysis, content workflows, research tools and internal knowledge systems.
Core Techniques
Strong prompts define context, intent, constraints, examples and output formats. Specialists choose between direct instructions, few-shot examples, role framing, structured outputs and prompt chains. They also account for model behaviour, token limits, ambiguity, safety risks and changes between model versions.
Models and Tooling
The ecosystem includes OpenAI models, Anthropic Claude, Google Gemini, open-source language models and model gateways. Prompt work often connects with Python, JavaScript, API integrations, retrieval-augmented generation, vector databases and orchestration tools such as LangChain or LlamaIndex. Evaluation tools, tracing and version control help teams compare prompts over time.
Where Companies Use It
Prompt Engineering is useful when AI outputs must fit a defined process rather than provide casual conversation. Common applications include:
- Customer support assistants grounded in approved knowledge
- Contract, invoice and report extraction
- Search, summarisation and classification workflows
- Marketing content with controlled tone and structure
- Internal copilots for regulated or specialist teams
Swiss companies may apply these patterns in finance, healthcare, manufacturing, insurance, retail and professional services. Local language requirements can include German, French, Italian and English, depending on users and source material.
When to Bring in a Specialist
Companies often need freelance expertise when a prototype produces inconsistent answers, cannot follow a required format or lacks reliable evaluation. Specialists can audit existing prompts, create test sets, establish quality criteria and improve grounding with company data. Remote collaboration works well when documentation, model access and review processes are organised; on-site work can help when teams need close process discovery.
What Strong Experts Deliver
A capable professional links prompt choices to measurable business requirements without treating prompts as isolated text. They test edge cases, prompt injection risks, hallucinations, multilingual behaviour and failure recovery. Good deliverables may include reusable prompt templates, evaluation datasets, model comparison notes, workflow documentation and handover guidance. They also know when prompt changes are not enough and when retrieval, tool use, fine-tuning or a different model is the better path.
Frequently asked questions
Questions about Prompt Engineering? Start with the answers below.
Prompt Engineering is used to guide language models toward accurate, consistent and appropriately formatted results. Companies apply it to assistants, extraction, summarisation, classification, search, content generation and workflow automation.
Prompt Engineering changes the instructions, context and examples given to a model without changing its trained parameters. Fine-tuning adapts a model through additional training data, while retrieval-augmented generation supplies relevant external information at request time.
A strong Prompt Engineering specialist usually understands model APIs, structured data, evaluation design and workflow automation. Knowledge of retrieval-augmented generation, vector databases, Python or JavaScript, security and user research is also valuable.
The right level of Prompt Engineering experience depends on the risk and scope of the use case. A simple internal workflow may need focused prompt design, while a customer-facing or regulated system calls for evaluation, observability, multilingual testing and production integration.
Prompt Engineering is well suited to remote collaboration when specialists can access model environments, sample data and stakeholder feedback. Swiss projects may also require clear handling of German, French, Italian or English content and careful coordination around data protection.
Prompt Engineering is useful for language-heavy tasks where inputs and outputs vary, while traditional automation is more predictable for fixed rules and structured transactions. Many effective systems combine prompts with application logic, validation, retrieval and human review.
Evaluate Prompt Engineering through representative test cases, clear acceptance criteria and repeatable comparisons between prompt versions. Check factual accuracy, format compliance, robustness to unclear requests, resistance to prompt injection and performance across relevant languages and models.
A professional delivering Prompt Engineering work should document prompt templates, model settings, input assumptions, expected outputs and known failure modes. Test examples, evaluation results, change history and guidance for future maintenance make the work easier to operate and improve.
The average hourly rate of freelancers in Switzerland who have used Prompt Engineering in their recent projects is 115 €, which corresponds to a daily rate of about 922 € based on an 8-hour working day.
Of the freelancers in Switzerland who have used Prompt Engineering in their recent projects, 92% hold at least a Bachelor's degree, 69% hold at least a Master's degree, and 23% 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 English (100%), German (93%), and French (43%).
The most common industries among freelancers in Switzerland who have used Prompt Engineering in their recent projects are Information Technology (79%), Banking and Finance (57%), and Healthcare (50%).
The most common business areas among freelancers in Switzerland who have used Prompt Engineering in their recent projects are Information Technology (86%), Product Development (79%), and Project Management (64%).
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.
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Philipp Thomaschewski
FRATCH CEO
