Flowise Experts in Germany
matched in minutes by AIHire experts who create Flowise chatflows, retrieval-augmented generation systems and autonomous agents, connecting LangChain components with business data, APIs and vector stores. FRATCH matches you quickly with vetted, available freelancers who fit your technical requirements.
Meet FRATCH Experts in Germany, who have recently used Flowise
Wolfgang H.
Last position:
Interim Supply Chain / SAP S/4HANA Transformation Manager at Solventum / global logistics service provider
Stabilization of a critical logistics outsourcing setup in the context of an SAP S/4HANA transformation. The focus was on restoring a reliable operational fact base between the client, logistics service provider, international supplier plants and the SAP/IT organization.
- Coordination between the client, global logistics service provider, international supplier plants, SAP/IT teams, Quality Management and the operational shop floor.
- Management, monitoring and operational correction of Inbound Deliveries; integration of Outbound Delivery processes.
- Analysis of interface, posting, batch and master data errors between SAP S/4HANA, logistics service provider, supplier plants and internal business functions.
- Significant reduction of critical inventory differences between the client and logistics service provider.
- Improved operational management capability in the logistics environment and creation of a common fact base.
- Reduction of recurring error patterns in the areas of Inbound Deliveries, inventory, interfaces, batch/posting logic and service provider processes.
Nikolai G.
Last position:
Clinical Data Manager at Dr. Falk Pharma
- Used OpenCode and AI-assisted software engineering to design, implement, refactor, test, and document an end-to-end RAW/SDTM/ADaM pipeline in R for Dr. Falk Pharma (07/2026), including metadata-driven transformations, automated validation rules and QC, traceability, and reproducible clinical outputs.
Marc E.
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, with a rollout to replace approx. 1 200 cash register systems, prioritizing 15 AI use cases
- Developed three technical components: OmniExtract (invoice-delivery note matching), WING (Voice-to-CRM), OmniConnect (AI middleware + chat)
- Designed a 12-month learning architecture for an AI consultancy
- Operational use of AI-powered knowledge management
Julien L.
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
Janina P.
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)
Anton H.
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.
Tomas S.
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 T.
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
13 years
Position duration
2.5 years
Positions per freelancer
7
Top business areas
Information Technology, Product Development, Research and Development
Top industries
Information Technology, Professional Services, Energy
Certification focus areas
Information Technology, Product Development, Research and Development
Bachelor's degree or higher
100%
Master's degree or higher
71%
Doctorate
29%
Certifications per freelancer
5
Most common languages
German, English, 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 Germany 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 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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Flowise 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 (88%)
- Professional Services (63%)
- Energy (38%)
- Food and Beverage (38%)
- Healthcare (38%)
- Manufacturing (38%)
- Retail (38%)
- Advertising (25%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Visual LLM workflows
Flowise is a low-code interface for creating applications powered by large language models. Its visual canvas lets teams connect prompts, models, memory, tools and data sources without writing every orchestration layer from scratch. Flowise AI is commonly used for chat assistants, internal knowledge tools and AI features inside existing products.
Chatflows and agents
Professionals use Flowise to design chatflows for guided conversations and agentflows for tasks that require planning, tool use or multiple steps. They configure model providers, system prompts, memory, webhooks and custom functions, then expose the result through an API, embedded chat or application interface.
- Customer support and service assistants
- Retrieval-augmented generation over company documents
- Research and workflow automation agents
- Internal search and knowledge interfaces
Data and integrations
A reliable Flowise solution depends on more than the canvas. Specialists connect document loaders, text splitters, embedding models and vector databases such as Pinecone, Qdrant, Weaviate or PostgreSQL with pgvector. They also integrate REST APIs, databases, cloud storage and identity systems while handling source updates and metadata.
Deployment and operations
Flowise can run locally, in Docker, on a virtual machine or within a managed cloud environment. Strong implementation work covers environment configuration, secrets, authentication, access control, logging, backups and model-provider limits. For companies in Germany, freelance specialists can support remote delivery or coordinate with local product, security and data teams.
When to bring in expertise
Companies often seek freelance Flowise expertise when a prototype must become a dependable internal or customer-facing service. Specialist support is valuable when conversations need grounded answers, integrations must be secure, or a team needs to compare models and control operating costs.
- A proof of concept needs production hardening
- Document ingestion produces unreliable answers
- Agents need controlled access to business tools
- Several teams need reusable workflow patterns
Signs of strong professionals
The best professionals understand both visual workflow design and the systems around it. They test retrieval quality, manage prompt and model changes, protect sensitive data and explain trade-offs clearly. Look for specialists who can show structured evaluations, maintainable flows, secure deployment practices and a plan for monitoring behaviour after launch.
Frequently asked questions
Quick answers to the questions that come up most around Flowise.
Flowise is used to build visual workflows for LLM applications, including chat assistants, document question-answering tools and task-oriented agents. It helps teams connect models, prompts, memory, tools, APIs and vector stores through a configurable interface.
Flowise provides a visual layer around concepts commonly associated with LangChain, while custom code offers finer control over application logic and testing. It is a strong fit for rapid iteration and transparent workflow design, but complex products may still need custom services around the Flowise layer.
A strong Flowise specialist should understand LangChain concepts, prompt design, retrieval-augmented generation and vector search. Experience with APIs, Python or JavaScript, Docker, databases, authentication and cloud deployment is also valuable.
The right level depends on the risk and scope of the project. A simple prototype may need focused workflow and prompt skills, while a production system requires proven knowledge of data pipelines, security, evaluation, deployment and ongoing monitoring.
Flowise can process company documents through loaders, chunking, embeddings and vector databases for grounded responses. A qualified specialist should also define access controls, retention rules, secret management and safeguards against exposing retrieved content.
Flowise projects are often suitable for remote collaboration because workflows, configuration and testing can be reviewed digitally. On-site sessions may help with discovery or sensitive integrations, while German or English communication should match the company’s teams and documentation.
Ask a Flowise freelancer to explain how they evaluate answer quality, handle failed retrievals and restrict agent tools. Review examples of maintainable flows, integration work, deployment decisions and documentation rather than judging a prototype by its visual appearance alone.
Flowise is attractive when a team wants a visual, self-hostable way to assemble LLM workflows and retain access to LangChain-style components. Other tools may be preferable for highly managed enterprise governance, simpler no-code use cases or applications that require extensive bespoke logic.
The average hourly rate of freelancers in Germany who have used Flowise in their recent projects is 120 €, which corresponds to a daily rate of about 960 € 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, 71% hold at least a Master's degree, and 29% hold a doctorate.
On average, freelancers in Germany who have used Flowise in their recent projects have 13 years of professional experience, with a single engagement typically lasting around 2.5 years.
The most common languages among freelancers in Germany who have used Flowise in their recent projects are German (100%), English (100%), and French (25%).
The most common industries among freelancers in Germany who have used Flowise in their recent projects are Information Technology (88%), Professional Services (63%), and Energy (38%).
The most common business areas among freelancers in Germany who have used Flowise in their recent projects are Information Technology (100%), Product Development (88%), and Research and Development (88%).
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
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Philipp Thomaschewski
FRATCH CEO
