AI Agents Experts in Switzerland
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Meet FRATCH Experts in Switzerland, who have recently used AI Agents
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
Rainer Tolksdorf
Last position:
Managing Director at Tolksdorf.digital GmbH
- Independent consulting for digital transformation, quick checks and business case development
- Delivered systems and digital engineering, Industrie 4.0, workflow & AI agents
- Implemented digital sales and service solutions, KMU open source introduction, data migration, hosting and maintenance of customer IT systems
- Applied methods: Lean Innovation, ISO 9001:2015, Scrum; managed teams of 2–80 people and project volumes up to 22 Mi0 USD
Fabian Kostadinov
Last position:
Lecturer at HWZ University of Applied Sciences
- Co-teach in CAS AI Management and CAS AI Innovation programs for future AI managers
- Cover topics including data platforms, AI architecture, technology adoption foundations, and factors influencing enterprise AI initiative success
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.
Discover over 15,000 top freelancers
Statistics of experts using AI Agents
Aggregated from the professional profiles of matched freelancers.
Experience
25 years
Position duration
2.8 years
Positions per freelancer
14
Top business areas
Information Technology, Product Development, Strategy
Top industries
Information Technology, Professional Services, Banking and Finance
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
100%
Master's degree or higher
50%
Doctorate
17%
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 AI Agents
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 AI agents do
AI agents are software systems that can plan steps, use tools, and act on tasks with limited manual input. Companies use them to draft responses, search internal knowledge, move data between systems, and handle repeat work that follows clear rules. The best setups stay narrow, observable, and tied to real business goals.
Where they fit
- Customer support assistants and routing
- Knowledge search over internal documents
- Sales and operations task automation
- Report generation and data enrichment
- Workflow orchestration with human review
They are often paired with LLMs, retrieval, APIs, and event-driven workflows. Strong AI agent work is less about flashy demos and more about reliable task completion, safe tool use, and clean handoffs.
Skills that matter
A strong specialist understands prompts, function calling, memory patterns, retrieval-augmented generation, and evaluation. They also know how to reduce hallucinations, manage state, and keep an agent within clear limits. In practice, this often means working across product, data, and backend systems.
Ecosystem and tooling
Common stacks include OpenAI, Anthropic, LangChain, LlamaIndex, Semantic Kernel, and frameworks for agent orchestration. Good professionals can choose between custom code, low-code wrappers, and existing agent patterns based on risk, speed, and maintenance. They also think about logging, tracing, and rollback from the start.
When to bring in help
Companies usually bring in freelance expertise when an internal team needs to prototype fast, connect an agent to private systems, or improve an existing setup that is brittle. In Switzerland, this is common in finance, insurance, pharma, and industrial settings where accuracy and control matter. Remote work is often fine, but workshops on-site help when the workflow is complex.
What strong experts deliver
Strong experts do not just wire up a model. They define the task, set boundaries, test failure cases, and make the agent fit the operating process. That includes prompt design, tool selection, evaluation criteria, and a delivery that your team can maintain after launch.
Frequently asked questions
Quick answers to the questions that come up most around AI Agents.
AI agents are used to carry out multi-step tasks such as answering support requests, searching documents, updating records, or triggering actions in other systems. They are useful when a single prompt is not enough and the work needs planning, tool use, and checks along the way.
A AI agents setup can decide which tool to use, call APIs, keep state, and continue a task across steps. A basic chatbot mainly responds in one turn, while an agent is built to act, not just answer.
Before hiring for AI Agents, prepare a clear use case, the systems it must connect to, and the approval rules it must follow. The best projects also include sample inputs, known edge cases, and a definition of what safe output looks like.
A strong AI Agents specialist usually brings prompt design, API integration, retrieval, evaluation, and workflow design. Depending on the project, knowledge of Python, cloud services, and data access patterns is also important.
Agentic AI is often used as a broader term, while AI agents usually refers to the concrete systems that plan and act on tasks. In searches, people may use both names for similar work, especially when they want automation with tool use and decision steps.
A simple proof of concept for AI agents can be handled by a specialist who has shipped similar workflow automation before. For production work that touches internal data, approvals, or customer-facing actions, you want someone who has dealt with testing, monitoring, and failure handling.
For AI Agents work, remote collaboration is often enough for architecture, integration, and testing. On-site sessions can help in Switzerland when teams need access to sensitive processes, local stakeholders, or detailed workflow mapping.
Look for a AI Agents specialist who can explain trade-offs, show real examples, and describe how they test for errors and unsafe actions. Good work is clear in the logs, easy to review, and stable when the model or the input changes.
The average hourly rate of freelancers in Switzerland who have used AI Agents in their recent projects is 127 €, which corresponds to a daily rate of about 1,016 € based on an 8-hour working day.
Of the freelancers in Switzerland who have used AI Agents in their recent projects, 100% hold at least a Bachelor's degree, 50% hold at least a Master's degree, and 17% hold a doctorate.
On average, freelancers in Switzerland who have used AI Agents in their recent projects have 25 years of professional experience, with a single engagement typically lasting around 2.8 years.
The most common languages among freelancers in Switzerland who have used AI Agents in their recent projects are German (100%), English (100%), and French (50%).
The most common industries among freelancers in Switzerland who have used AI Agents in their recent projects are Information Technology (100%), Professional Services (83%), and Banking and Finance (67%).
The most common business areas among freelancers in Switzerland who have used AI Agents in their recent projects are Information Technology (100%), Product Development (83%), and Strategy (67%).
Main locations of FRATCH Experts, who have recently used AI Agents
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
