Prompt Engineering Experts in Cologne
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Meet FRATCH Experts in Cologne, who have recently used Prompt Engineering
Marc Smyk
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
Hamdi Rajab
Last position:
Full-Stack AI Developer at Karray-Pflege GmbH
PFS-Matching-App
- Integrated an intelligent LLM chatbot using LangChain4j, enabling conversational AI, context-aware question answering, document summarization, and autonomous tool execution.
- Implemented Retrieval-Augmented Generation (RAG), prompt engineering, and AI agent workflows to connect large language models with enterprise data and backend services.
- Developed RESTful APIs and secure backend services to support AI-driven interactions and business processes
Beshr Alnirabieh
Last position:
System Administrator – HealthCare IT & Data Infrastructure at Cellitinnen Hospital Association
- Integration of medical modalities (including ultrasound) into the existing IT infrastructure (DICOM, HL7) – put into operation within the planned timeframe.
- Administration and optimization of PACS systems for efficient archiving and distribution of radiology image data across multiple locations.
- Ensuring consistent data quality and seamless interoperability in data exchange between HIS, RIS, and PACS.
- Close collaboration with medical staff to analyze and digitally optimize clinical workflows.
- Requirements management and test coordination when implementing clinical requirements in complex IT structures.
Antje Baumann
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
Christian Hunkirchen
Last position:
Developer at Opereon Consulting GmbH
- Developed a shop website
- Integrated an AI language model
- Developed tools for AI-powered webhooks
- Technical tools: REACT.js; Elevenlabs; MCP; n8n; HTTP
Luisa Janniciello
Last position:
Product & AI Workflow Consultant at Freelance
- Developed AI-powered workflow concepts for marketing and product teams
- Advised on automation, AI tool integration, and process optimization
- Led projects for personalized digital products (audio/AI-powered MVP)
- Conducted tool evaluations including rollout planning, requirements mapping, and training design.
Andreas Jänecke
Last position:
Certified AI Expert Trainee at Scaly Academy
- Further training to become a certified AI expert in the company
- Fundamentals of AI
- AI tools
- Prompt engineering (creation of professional prompts)
- (Advanced) Process automation with AI and make.com
- AI in marketing and sales
- Legally compliant use of AI in companies
- Intelligent knowledge management
- AI in customer management
- Developing AI guidelines for the company
- AI integration into the company
Wolfgang Griepentrog
Last position:
Lead Communications Manager at SHK Deutschland (BME SHK GmbH)
Set up communication during an ongoing restructuring process and made it operational.
Jennifer Pütz
Last position:
Sales Development Manager at Uffective Germany
- Advised companies on implementing the SaaS solution for digital project and portfolio management by analyzing existing workflows and data flows
- Responsible for the entire B2B sales cycle: from lead generation and needs analysis to product demos, ROI justification, and contract closing
- Translated complex business requirements into technical solution concepts and coordinated with customer success teams
- Identified automation opportunities in customer processes and translated them into efficient software logic (workflows, rules, approvals, dashboards)
- Prepared and conducted executive readouts, including defining next steps, managing forecasts, and documenting projects
- Analyzed company data to identify opportunities for machine learning and automation scenarios to improve efficiency
- Worked closely with interdisciplinary teams to implement MS Office including MS Copilot PoCs and sustainable improvements in the customer environment
Simon Kock
Last position:
Senior Digitalization Consultant at Ginkgo Management Consulting
- Consulting and implementation of digitalization projects nationally and internationally for start-ups, SMEs, and corporations
- Focus areas: design systems, RAG & automations
- Tools and technologies: Claude, GPT, Gemini
Christian Michael Mzyk
Last position:
Sponsor & Project Lead at WAITS Software- und Prozessberatungsgesellschaft mbH
- Sponsor of two spin-off products of the AI and BPM tool BPMaaS called „kionera“ and „myATHENA“
- Definition of project goals and strategic development of the products
- Design and build-up of the kionera platform on shared or dedicated GPU servers with Docker and open-source LLMs
- Provision of the API for internal applications
- Development and design of managed services based on the ADONIS BPM system from BOC Group
- Support with feature definition and planning of ADONIS/BPMN trainings
- Creation of a WordPress website including a subscription payment gateway
Sabrine Krichen
Last position:
Team Lead at InstaDeep
- Led a team of junior Research Engineers, providing mentorship, technical guidance, and career development support to foster their growth in deep learning and machine learning engineering.
Andre Cramer
Last position:
Co-Founder & Co-Lead Human-Centered Technology Community at Deutsche Telekom
- Building a company-wide grassroots movement with over 500 employees around digital responsibility topics, tech ethics, and a human-centered focus
- Connecting top-down initiatives from innovation, corporate responsibility, and compliance with engaged employees
- Organizing flagship events like barcamps, dialogue formats, workshops, and discussion series
- Promoting ethical reflection, diversity, and societal perspectives in innovation and decision-making processes
Michael Weckerlin
Last position:
SEO Consultant & AI Enabler at Mister SEO
- SEO audits
- Content audits
- SEO workshops
- SEO training
- Online courses
Discover over 15,000 top freelancers
Statistics of experts using Prompt Engineering
Aggregated from the professional profiles of matched freelancers.
Experience
16 years (Germany: 15 years)
Position duration
2.7 years (Germany: 3 years)
Positions per freelancer
11 (Germany: 9)
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Retail, Professional Services
Certification focus areas
Information Technology, Project Management, Research and Development
Bachelor's degree or higher
100% (Germany: 95%)
Master's degree or higher
40% (Germany: 65%)
Doctorate
10% (Germany: 12%)
Certifications per freelancer
3
Most common languages
German, English, Arabic
Speak two or more languages
100% (Germany: 98%)
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 Cologne 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 Cologne 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What it covers
Prompt engineering is the craft of getting reliable results from large language models. It includes prompt design, system prompts, role instructions, and output constraints for tools built on GPT, Claude, Gemini, and similar models.
Typical work
- Shape prompts for chat assistants, search, and content workflows
- Define guardrails, style rules, and structured output formats
- Test responses against edge cases and failure modes
- Improve prompts for retrieval-augmented generation and tool use
Where it helps
Companies use this work for support bots, knowledge search, sales enablement, document drafting, and internal copilots. In Cologne, it often fits teams that need German and English outputs, cleaner handoffs with product teams, and faster iteration with local stakeholders.
What good specialists bring
Strong professionals know how models fail. They write clear instructions, reduce ambiguity, compare outputs, and tune prompts for consistency. They also work with context windows, structured JSON output, and safety rules without turning every task into a manual review.
Ecosystem and adjacent skills
Prompt engineering often sits next to LLM APIs, embeddings, retrieval, function calling, and evaluation tooling. Useful adjacent skills include product thinking, conversation design, data handling, and light scripting for test sets and automation.
When to bring in freelance help
Bring in freelance expertise when a team is moving from experiments to production, when output quality is unstable, or when a new use case needs a fast proof of value. It also helps when internal teams need help documenting prompt patterns and review criteria.
Frequently asked questions
Before you brief your next project: the most common questions about Prompt Engineering.
Prompt engineering is used to steer large language models toward useful, repeatable output. Teams apply it to chat assistants, drafting tools, semantic search, classification, and workflow automation. It matters when plain prompts are not enough and the result needs structure, tone control, or better reliability.
Yes, but the terms overlap. Prompt engineering usually means the broader practice: prompt design, testing, iteration, evaluation, and guardrails. Prompt writing is often the narrow part where the actual text is created, while prompt design focuses more on structure and intent.
A strong Prompt Engineering specialist usually understands LLM APIs, retrieval-augmented generation, function calling, and evaluation methods. Product sense matters too, because good prompts depend on the task, the user, and the failure cases. Basic scripting helps when prompts need to be tested at scale.
Look for clear thinking, not just clever wording. A good Prompt Engineering professional shows how they test prompts, compare outputs, and reduce hallucinations or format errors. Ask for examples of prompt versions, evaluation criteria, and how they handled edge cases.
Not much to start, but enough to define the task well. A Prompt Engineering expert needs the user goal, sample inputs, desired outputs, tone rules, and known failure cases. The best work happens when the team shares real examples instead of abstract requirements.
Yes, most Prompt Engineering work fits remote collaboration very well. Teams in Cologne often only need a few focused workshops, shared test cases, and regular reviews. On-site time can help when the project depends on close product discovery or bilingual stakeholder alignment.
Prompt Engineering is usually faster and cheaper to start because it changes instructions, not the model itself. Fine-tuning can help when you need deeper behavior changes or a very specific style, but it also adds data, training, and maintenance work. Many teams begin with prompts and move to tuning only if the use case justifies it.
Bring sample tasks, current prompts, and a few good and bad outputs. For Prompt Engineering, the more concrete the examples, the faster the specialist can improve results. It also helps to define success criteria, target languages, and any safety or compliance limits up front.
The average hourly rate of freelancers in Cologne, Germany who have used Prompt Engineering in their recent projects is 120 €, which corresponds to a daily rate of about 959 € based on an 8-hour working day.
Of the freelancers in Cologne, Germany who have used Prompt Engineering in their recent projects, 100% hold at least a Bachelor's degree, 40% hold at least a Master's degree, and 10% hold a doctorate.
On average, freelancers in Cologne, Germany who have used Prompt Engineering in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 2.7 years.
The most common languages among freelancers in Cologne, Germany who have used Prompt Engineering in their recent projects are German (100%), English (100%), and Arabic (21%).
The most common industries among freelancers in Cologne, Germany who have used Prompt Engineering in their recent projects are Information Technology (93%), Retail (50%), and Professional Services (43%).
The most common business areas among freelancers in Cologne, Germany who have used Prompt Engineering in their recent projects are Information Technology (86%), Product Development (79%), and Project Management (79%).
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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