Flowise Experts in Germany
matched in minutes from over 15,000 CVs with the power of AI.Hire experts who design, deploy, and scale LLM orchestrations, customize LangChain workflows, and integrate custom APIs. Work with vetted, available specialists matched precisely to your project needs through our AI-driven platform.
Meet FRATCH Experts in Germany, who have recently used Flowise
Janina Peters
Last position:
AI and Automation at A-Leecon GmbH
- Introduction to AI and Automation
- The Automation Project
- Make.com Foundations
- Automation Basics: Data Management
- Document Workflows, Troubleshoot, and Automate Reports
- Digression: Data as the Foundation of AI Systems
- Implementing AI Solutions in Practice
- Digression: Large Language Models (LLMs)
Julien Look
Last position:
MLOps Engineer at SAMGEN
- Building and scaling cloud infrastructure on GCP to support a SaaS platform for industrial clients
- Designing and implementing a data-driven DevOps pipeline for streamlined deployment and CI/CD workflows
- Collaborating with Data Science team on MLOps workflow to automate integrated retraining
Anton Hoffmann
Last position:
Senior UX Professional / Researcher at Viessmann Group GmbH & Co. KG
- B2B: conceptual project development of the production software for ViGuide (Web), ViGuideMobile and HMI.
- Revamping information architecture, UX concept for new and existing features.
- UX research.
- UI business analysis: analyzing and designing existing UI and UX structures, and validating existing interaction and design concepts against business, technical and user requirements.
- Conducting UI/UX workshops, deriving consistent UI concepts, and creating wireframes, click dummies and prototypes to support decision-making and implementation in close coordination with stakeholders, UX and development.
- Accessibility according to BITV/WCAG (analysis, concept, implementation).
- Using AI to support UX analysis, pattern recognition in research data and to speed up concept development and prototyping.
- User centered design, usability engineering, agile working – Scrum, UX analysis, concept, wireframing, prototyping, DIN EN ISO 9241-110 / 210, user journeys, personas, interaction design, user guidance and information architecture.
- Remote/onsite interviews, test planning, moderation, documentation of UX/UI concepts and recommendations, Jira, Confluence, Miro, UI/UX workshops (requirements analysis, UI alignment, design reviews).
- Figma (mockups, wireframes, design, concept), Axure and ProtoPie (low- and high-fidelity prototyping), Confluence, Jira, Office, Miro, Maze.
- Quantitative research: usability & prototyping tests via Maze (remote), surveys (Maze).
- Qualitative research: moderated interviews, analysis and action recommendations.
Marc Eichner
Last position:
Founder & AI Consultant at Omniance
- Local AI and agentic systems for SMEs and corporations from use case to production
- Co-founded with Dr. Artur Hahn
- First engagement: AI use case workshop at a corporation, leading to a rollout replacing around 1,200 point-of-sale systems to prioritize 15 AI use cases
- Developed three technical modules: OmniExtract (invoice-delivery note matching), WING (voice-to-CRM), OmniConnect (AI middleware + chat)
- Designed a 12-month learning architecture for an AI consulting firm
- Operational deployment of AI-driven knowledge management
Tomas Stiller
Last position:
Co-Founder & CTO at Printkiss GmbH & Co. KG
- Agile app development and product ownership in e-commerce
- Feature planning and creating user stories
- Organizing external freelancers (cross-functional teams)
- Backend and frontend development
- Story mapping
- Backlog management
- Roadmap planning
- Budget control and capacity planning
Rohit Thanki
Last position:
Data Scientist at KRiAN GmbH
- Designed and deployed end-to-end ML pipelines using Python and SQL for multimodal data processing and predictive modelling.
- Built cloud-ready ML systems integrating heterogeneous data sources with scalable data engineering practices.
- Partnered with product and business teams to define high-impact ML use cases and guide technical execution from prototype to deployment.
- Introduced architecture patterns and documentation frameworks supporting model governance, lifecycle traceability, and audits.
- Mentored 4+ engineers on ML workflows, and model deployment.
Discover over 15,000 top freelancers
Statistics of experts using Flowise
Aggregated from the professional profiles of matched freelancers.
Experience
8 years
Position duration
3 years
Positions per freelancer
6
Top business areas
Information Technology, Product Development, Research and Development
Top industries
Information Technology, Professional Services, Energy
Certification focus areas
Product Development, Information Technology, Business Intelligence
Bachelor's degree or higher
100%
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 Germany 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 Germany using Flowise
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
No-code LLM orchestration with Flowise
Flowise is an open-source UI visual builder designed for rapid prototyping and deployment of Large Language Model applications. It simplifies the orchestration of complex AI workflows without writing extensive custom code. Organizations use it to accelerate their generative AI roadmaps.
Typical use cases in enterprise environments
- Custom retrieval-augmented generation (RAG) pipelines for internal databases.
- Multi-agent collaborative systems and autonomous AI assistants.
- Conversational chatbots with memory management and external API integrations.
- Semantic search engines and document processing automation workflows.
The LLM ecosystem and integrations
The platform relies heavily on LangChain and LlamaIndex concepts, mapping them into a visual node interface. Experts leverage integrations with major vector databases like Pinecone, Milvus, and Qdrant. They connect workflows to hosting services, OpenAI, Hugging Face, and local models.
Local German industry requirements and compliance
Many German companies require local specialists to ensure strict GDPR compliance and data sovereignty. Flowise professionals in Germany understand how to host workflows on local European clouds and self-hosted instances. This ensures sensitive business data never leaves secure networks.
Signs your project needs Flowise specialists
- Your technical team is bottlenecked by manual LangChain coding tasks.
- You need to rapidly prototype and test multiple LLM models side-by-side.
- Non-technical business units need a visual interface to adjust AI prompts.
- Existing AI chatbots lack memory or fail to connect to local databases.
Characteristics of top Flowise specialists
Elite professionals combine deep knowledge of prompt engineering with solid backend skills in Node.js and Python. They do not just connect visual blocks; they understand the underlying mechanics of vector embeddings, chunking strategies, and API rate limits to ensure reliable production runs.
Frequently asked questions
Quick answers to the questions that come up most around Flowise.
Businesses use Flowise to visually assemble, test, and deploy generative AI applications like retrieval-augmented generation (RAG) systems and AI agents. It acts as a drag-and-drop layer over LangChain, allowing teams to build functional AI prototypes in hours rather than weeks.
While custom coding offers maximum flexibility, Flowise provides a visual interface that drastically reduces development time for LLM applications. It allows rapid iteration of prompts and vector database connections, which is ideal for testing before committing to complex, handwritten codebases.
A strong Flowise expert should have a solid foundation in Python or Node.js, deep familiarity with vector databases, and experience with API integrations. They must also understand chunking strategies, embedding models, and how to optimize LLM performance for enterprise use cases.
Yes, Flowise can be self-hosted on-premises or on local German cloud infrastructure using Docker. This setup ensures that proprietary enterprise data and sensitive customer information remain compliant with GDPR and local data protection regulations.
Yes, Flowise has evolved to support production deployments by offering API endpoints for the visual flows, persistent memory, and robust authentication. Local specialists often use it to power customer-facing chatbots and automated back-office workflows.
A typical project involves setting up the Flowise environment, connecting it to company databases or vector stores, designing multi-agent workflows, and exposing these flows as secure APIs. Experts can often deliver a fully functional pilot project within a few days or weeks.
Absolutely, Flowise supports custom API nodes and direct connectors to common databases. German industrial companies often hire specialists to connect these visual AI flows directly to internal ERP or CRM systems securely.
Most Flowise configuration and LLM orchestration can be done highly efficiently in a remote setup. However, for sensitive integration phases with local on-premises systems, having a specialist based in Germany who can join key on-site workshops is highly beneficial.
The average hourly rate of freelancers in Germany who have used Flowise in their recent projects is 126 €, which corresponds to a daily rate of about 1,011 € based on an 8-hour working day.
Of the freelancers in Germany who have used Flowise in their recent projects, 100% hold at least a Bachelor's degree, 60% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers in Germany who have used Flowise in their recent projects have 8 years of professional experience, with a single engagement typically lasting around 3 years.
The most common languages among freelancers in Germany who have used Flowise in their recent projects are German (100%), English (100%), and French (33%).
The most common industries among freelancers in Germany who have used Flowise in their recent projects are Information Technology (83%), Professional Services (67%), and Energy (50%).
The most common business areas among freelancers in Germany who have used Flowise in their recent projects are Information Technology (100%), Product Development (83%), and Research and Development (83%).
Main locations of FRATCH Experts, who have recently used Flowise
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.
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
