Prompt Engineering Experts in Dusseldorf
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Meet FRATCH Experts in Dusseldorf, who have recently used Prompt Engineering
Marc S.
Last position:
Fullstack Developer at PLANT-MY-TREE
PLANT-MY-TREE®-per-order
The application enables Shopify merchants to automatically place tree-planting orders for every incoming order. By integrating ecological contributions directly into the purchase process, the manual effort for tracking and billing reforestation initiatives is eliminated. The system increases transparency for end customers through real-time visualizations of the ecological impact directly in the storefront. The architecture is based on a modular monolith with Spring Boot in the backend and an integrated React app inside the Shopify admin area. The solution uses webhooks to capture order data in an event-driven way and integrates the weclapp ERP system for automated monthly invoicing. An app proxy mechanism provides dynamic statistics such as CO2 compensation and planted trees without any performance loss for the merchant shop.
Tasks:
- Design of the modular software architecture based on Spring Modulith to ensure high maintainability
- Development of the event-driven business logic for evaluating Shopify orders via webhooks
- Implementation of automated invoicing by connecting the weclapp REST API
- Building the frontend using React Router and Shopify App Bridge for native integration
- Design of the database model and implementation of the persistence layer with JPA/Hibernate and Prisma
- Integration of internationalization processes for global use in the frontend and email communication
- Automation of deployment processes using Docker and GitLab CI/CD
Project skills: Java 25, Spring Boot, Spring Security, Spring Modulith, Hibernate, JPA, REST API, PostgreSQL, Maven, Liquibase, React, TypeScript, React Router, Vite, Node.js, Prisma, Zod, Docker, Docker Compose, GitLab CI/CD, Shopify CLI, Shopify App Bridge, Polaris, weclapp, i18next, Lombok, Vitest
Edgar P.
Last position:
Transition Manager & Business Analyst
The customer's own IT ticketing tool is being migrated to the central corporate tool. Critical elements are the product shop, the operational framework, the ITIL processes and asset management. It is important to ensure that the strategy for the service and support model works with the new tool, so that IT operations can continue smoothly. The next step is to develop and establish processes for the newly formed core team.
- Current-state analysis / weakness analysis of the existing processes and tool setup
- GAP analysis of the current and future operating and service models
- Analysis of business needs
- Evaluation and implementation of the identified GAPs
- Establishment of a continuous improvement process
- Risk management
- Hypercare & support during operational activities
- Establishment of processes for the newly formed core team
- Stakeholder management
Antje B.
Last position:
AI Strategy Consultant, Change Manager at SMEs (various marketing boutiques, IT & office services)
AI Strategy & Enablement for SMEs Management consulting – SMEs (e.g. marketing boutique, IT & office services)
Concept and delivery of structured AI introduction and strategy workshops for small and medium-sized businesses. Result: Practical AI status assessment, prioritized use case list, and management decision template as the basis for the next steps in the company’s AI development.
Activities
- Needs analysis and individual preparation of the consulting formats
- Facilitation of a structured AI status assessment including vision, mission, and target picture
- Identification and prioritization of relevant AI use cases and action fields
- Creation of management decision templates and roadmaps
- Raising awareness for opportunities, risks, and success factors of AI introduction
- Support for first customers with AI-supported automation scenarios
- Supporting people and teams through the change process of AI introduction (CM)
Methods / Tools / Technologies
Methods:
- AI status assessment & use case analysis
- Workshop moderation / facilitation
- Requirement Management
- Change Management (PROSCI)
Tools:
- Generative AI tools (e.g. ChatGPT, Claude)
- Automation/AI coding tools (e.g. n8n, Claude Code, Visual Studio, Antigravity)
Technologies:
- Prompt engineering
- AI workflow automation
Ricardo M.
Last position:
Controlling Staff Unit (CFO/Head of Controlling) at IT Security Solutions
- Process optimization, process design
- Business partnering, target vision
- Teambuilding
- Workflow design
- Budget, MEC
- SAP S4/Hana, Board
Andrei B.
Last position:
Head of Group Performance and Strategy at SPEIRA GmbH
- While running FP&A processes, initiated and implemented changes therein, improving depth, speed, and accuracy: performance analysis; monthly reporting to the shareholders; forecasting/estimating; annual planning/budgeting
- Quantified and formulated a strategic plan for the Group
- Provided insights leading to operational and strategic decisions
- Ensured timely progress in strategic projects
- Corporate Finance
- Data Analytics
- Presentation/Pitching
- Stakeholder Management
- Strategic Planning / Budgeting
Teresa M.
Last position:
Digital Learning Project Manager at Economic Affairs Directorate, Canton of Zurich
- Facilitated design thinking workshops and developed practical learning solutions with stakeholders that link business and learning goals.
- Simplified production processes with templates and quality standards, boosting efficiency and brand consistency of internal L&D products.
- Contributed to organization-wide communication campaigns for culture and change initiatives, increasing internal visibility.
Mohammed E.
Last position:
Interim CTO & Senior Tech Consultant at ASCEND gGmbH / RepairX.io / GHBIO.org
- Development of the SmartHub platform for RepairX.io (iOS app & web)
- Development of an AI-powered (clinical decision support) patient management platform for the Malteser Hospital to provide care for uninsured patients
- Development of a retrieval-augmented generation (RAG) system for the intelligent processing of medical data for ASCEND gGmbH
- Design of an AI-powered system for emotion analysis of guests and development of AI agents for automated accounting and compliance checks
- Planning of the RepairX.io platform (circular economy) and management of a DAO Hyperledger blockchain system for NGOs
- Development of internal audit systems for AI ethics violations in healthcare (according to the EU AI Act)
Matthias S.
Last position:
AI-assisted Web Development & SaaS Founder at Self-employed
- Full focus on AI-augmented web development
- Building and running three proprietary AI-native SaaS products (BrainButler, PageUpgrade, termin365)
- Developing a self-hosted business stack for digital sovereignty
- Daily workflow with Claude as engineering partner and Anthropic/OpenAI APIs for product features
- Using RAG systems with custom vector databases and prompt engineering for complex multi-step pipelines
- Tech stack: Python/FastAPI (backend), React/TypeScript (frontend), WordPress plugin architectures (PHP), multi-tenant systems with per-user encryption
Mitali S.
Last position:
Freelancer at Fintom8 Fintech AI UG
- Built and launched the AI-powered “E-Invoice Corrector,” an intelligent system for validating and correcting invoices, using Python, FastAPI, and machine learning. The system is now live at Fintom8.
- Converted the Corrector into a fully functional API, published with Swagger documentation for easy access and integration by internal and external consumers.
- Designed, experimented with, and optimized advanced LLM prompts and meta-prompting strategies to improve automated reasoning, error correction, and decision-making in agent workflows.
- Wrapped and integrated existing APIs within the Google Agent Development Kit (ADK) framework to enhance automation capabilities and conversational AI workflows.
- Implemented comprehensive unit testing using pytest and unittest, and employed breakpoint debugging (VS Code, pdb) to ensure code reliability, maintainability, and smooth runtime execution.
- Utilized Pydantic and Tabulate for structured data validation, API schema management, and clear tabular data representation in testing and debugging workflows.
- Pursuing the Google Cloud Professional Certificate.
Serhat K.
Last position:
Intern Engineer at Altınay Electromobility and Energy Technologies Inc.
- Contributed to the Quality Management Department at Actio, a subsidiary of Altınay, by assigning external documents and regulations to departments and supporting preparations for ISO 9001 and IATF 16949 compliance
- Revised and improved the polyvalence table to track employee competencies, collected training requests, and aligned them with procedures
- Actively observed Pre-Delivery Inspection (PDI) processes and monitored the traceability of quality forms
- Supported the integration of newly calibrated measurement devices into workflows
- Proposed an SQL-based system to digitalize documentation and improve efficiency in traceability and audit readiness
Discover over 15,000 top freelancers
Statistics of experts using Prompt Engineering
Aggregated from the professional profiles of matched freelancers.
Experience
18 years (Germany: 15 years)
Position duration
2.8 years (Germany: 3 years)
Positions per freelancer
13 (Germany: 9)
Top business areas
Information Technology, Product Development, Human Resources
Top industries
Information Technology, Professional Services, Banking and Finance
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
89% (Germany: 96%)
Master's degree or higher
56% (Germany: 67%)
Certifications per freelancer
5 (Germany: 3)
Most common languages
German, English, Spanish
Speak two or more languages
100% (Germany: 98%)
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Dusseldorf 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 Dusseldorf 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 19 Sep 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 (70%)
- Professional Services (60%)
- Banking and Finance (50%)
- Transportation (50%)
- Manufacturing (40%)
- Retail (40%)
- Agriculture (30%)
- Automotive (30%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What it is
Prompt Engineering is the disciplined design, testing and refinement of instructions for large language models and other generative AI systems. It turns business goals into prompts that produce useful, consistent and controllable outputs. The work can cover simple prompt templates as well as structured interactions across complete AI workflows.
What it builds
Prompt Engineering supports customer support assistants, document analysis, content workflows, research tools and internal knowledge interfaces. Specialists define the role, context, constraints and output format that a model needs. They also create reusable prompt patterns for text, image, audio and multimodal applications.
- Conversational assistants and agent instructions
- Structured extraction from contracts and reports
- Classification, summarisation and content transformation
- Retrieval-augmented generation workflows
Tools and skills
Strong professionals work across model providers such as OpenAI, Anthropic and Google, while understanding how model settings affect results. Their toolkit may include prompt templates, evaluation datasets, vector search, retrieval pipelines, guardrails and observability tools. Useful adjacent skills include Python, APIs, JSON schemas, data preparation and user research.
When to hire specialists
Companies bring in freelance expertise when experiments produce inconsistent answers, manual review becomes costly or an AI feature must move into production. A specialist can audit existing prompts, define evaluation criteria and build a repeatable testing process. In Dusseldorf, remote work can suit distributed teams, while on-site sessions may help when domain experts need close workshops in German or English.
- Model selection and prompt audits
- Evaluation design and regression testing
- Safety, privacy and instruction hierarchy reviews
- Workflow integration and documentation
What quality looks like
Effective prompting is not just clever wording. Strong specialists clarify the task, supply the right context, separate instructions from data and require outputs that downstream systems can validate. They measure quality against representative examples, document trade-offs and improve prompts without hiding model limitations.
Project collaboration
A focused engagement should begin with sample inputs, expected outputs and clear failure cases. Professionals often work with product, legal, service and data teams to capture the language and rules of the business. They leave behind tested prompt assets, evaluation notes, usage guidance and a process for maintaining results as models and requirements change.
Frequently asked questions
Before you brief your next project: the most common questions about Prompt Engineering.
Prompt Engineering is used to guide generative AI systems toward useful, consistent outputs. Companies apply it to assistants, document processing, search interfaces, content operations, classification and workflow automation.
Prompt Engineering changes the instructions and context given to an existing model, while fine-tuning changes model behaviour through additional training data. Prompt work is often easier to revise and can be combined with retrieval, tools or structured output requirements.
A strong Prompt Engineering specialist may also understand APIs, Python, JSON schemas, retrieval-augmented generation, vector search and evaluation design. Knowledge of a company’s domain, user research and data privacy is equally valuable.
The right level depends on the problem rather than the label of the project. Prompt Engineering for a small internal workflow may need focused prompt design, while a customer-facing system calls for evaluation, safety reviews, integration knowledge and ongoing monitoring.
Prompt Engineering is well suited to remote collaboration because prompts, test cases and evaluation results can be reviewed asynchronously. On-site workshops in Dusseldorf can still help when specialists need direct access to subject-matter experts or teams working in German and English.
Good Prompt Engineering is judged with representative test cases, clear acceptance criteria and repeatable comparisons. Ask for documented failure modes, evaluation results, version control and an explanation of how the prompt behaves when inputs are incomplete or adversarial.
Prompt Engineering does not replace software, data or product expertise. It works alongside those disciplines to define inputs, connect models to tools and data, validate outputs and create safeguards around generative AI features.
A Prompt Engineering engagement may deliver tested prompt templates, system instructions, example data, evaluation sets and integration guidance. A complete handover should also explain assumptions, known limitations, safety considerations and how the team can maintain quality as models change.
The average hourly rate of freelancers in Dusseldorf, Germany who have used Prompt Engineering in their recent projects is 89 €, which corresponds to a daily rate of about 713 € based on an 8-hour working day.
Of the freelancers in Dusseldorf, Germany who have used Prompt Engineering in their recent projects, 89% hold at least a Bachelor's degree and 56% hold at least a Master's degree.
On average, freelancers in Dusseldorf, Germany who have used Prompt Engineering in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2.8 years.
The most common languages among freelancers in Dusseldorf, Germany who have used Prompt Engineering in their recent projects are German (100%), English (100%), and Spanish (20%).
The most common industries among freelancers in Dusseldorf, Germany who have used Prompt Engineering in their recent projects are Information Technology (70%), Professional Services (60%), and Banking and Finance (50%).
The most common business areas among freelancers in Dusseldorf, Germany who have used Prompt Engineering in their recent projects are Information Technology (90%), Product Development (80%), and Human Resources (60%).
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.
Berlin 
Hamburg 
Munich 
Cologne 
Frankfurt 
Stuttgart 
Dortmund 
Essen 
Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
