Prompt Engineering Experts in Frankfurt
in minutes from 15,000 CVs with the power of AIHire experts who design clear prompts, tune instruction chains, and test LLM outputs for chatbots, copilots, search, and content workflows. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Frankfurt, who have recently used Prompt Engineering
Saqib Javed
Last position:
AI Developer / AI Engineer (Lead) at KOM4TEC GmbH
- Conceptual design and implementation of modular AI assistants for sales and business processes in the Microsoft ecosystem (Agentic AI, Copilot extensions)
- Frontend architecture and development with React + TypeScript for embedded chat and assistant surfaces (streaming UI, hooks, React Query, OpenAPI clients)
- Enterprise-level agent development: reusable skill/agent library, MCP server, review and compliance gates
- LLM integration into the user experience: Anthropic (Claude), OpenAI, tool use, RAG pipelines, prompt engineering, guardrails
- Architecture and code review consulting as well as mentoring in the AI development team
- Integration with Microsoft Graph, Power Platform, and Azure services
- Technologies: React, TypeScript, Anthropic Claude, OpenAI, MCP, RAG, Microsoft Graph, Power Platform, Azure
Yves Schleich
Last position:
Owner and AI Operator at Path to AI
- Operational implementation of the growth levers of growing E-Com brands: SEO, GEO, SEA, shop, conversion, and automation of recurring processes.
- Building and managing specialized AI agent systems that work as roles (SEO, content, conversion, Shopify engineering) instead of single prompts.
- Working either as done-for-you execution or as done-with-you setup, where the brand's team can continue working on its own afterward.
- Customers and projects include TeamTex and Original Veddel, Störtebekker, ConstructionX.
- AI workshops and enablement formats for specialist and leadership teams, plus the joint webinar series AI Vibe Club with Xentral.
Nils Gabbe
Last position:
Sales Trainer at Self-employed
- Teaching sales techniques, automations, and body practices to increase acquisition, conversion rates, and objection handling.
- Created a 5-step transformation for freelancers based on 20+ feedbacks and 3 1-on-1 coachings.
- Developed, tested, and iterated a sales training system with AI.
Mobin Rupani
Last position:
Senior Consultant and Chief Product Owner at Luxota Travel Tech
- Coached teams in Agile methodologies and Scrum framework implementation.
- Aligned the product roadmap with business goals such as increasing bookings, improving user experience, and expanding supplier integrations.
- Collaborated with developers and third-party providers to ensure smooth API integration and end-to-end functionality.
- Created and continuously refined the product backlog with user stories, bugs, and technical improvements.
- Prioritized backlog items based on business value, revenue impact, and regulatory deadlines.
- Worked closely with backend and frontend teams to clarify dependencies and prioritize technical debt.
Samet Polat
Last position:
Technical Product Owner & Rollout Manager at EY
- Provided leadership as Product Owner for the DMS module in an agile multi-team setup
- Coordinated the nationwide rollout including requirements management and roadmap development
- Built and maintained the product backlog focusing on scalability, usability and data protection
- Conducted sprint reviews, refinements and stakeholder demos with over 15 involved teams
- Developed a rollout and training concept for successful launch at over 200 government agencies
- Introduced a reporting and monitoring dashboard to measure usage success
- Worked closely with architects, QA and operations to ensure integration into the existing system landscape
Alona Liuzniak
Last position:
AI Architect
AI-powered platform for automated UX validation and designer support
- Designed and led technical implementation of an enterprise-wide AI solution for automated UX review that improved design quality and significantly reduced manual review processes in teams
- Developed an automated UX validation tool as a Figma plugin and web application that generates test cases based on internal guidelines and reliably checks current designs for consistency and standard compliance
- Implemented an interactive designer chat based on RAG that answers questions about the current design and the company's UX guidelines, and designed the deployment architecture using containerized services
- Python, Azure OpenAI, PostgreSQL, REST API, Docker, OpenShift, Helm, CI/CD, Figma MCP, LLM, RAG, Prompt Engineering, GenAI, XAI, AI Architecture, AI Strategy
Harsh Vardhan Agrawal
Last position:
System and Process Integrator 2 at Audi AG
Spearheaded the development and deployment of a Generative AI solution tailored for the automotive industry focusing on improving customer experience through AI-driven innovations.
Conducted in-depth market research to understand unique challenges and opportunities within the automotive sector by analyzing industry trends, customer pain points, and competitive offerings to inform the product strategy.
Formulated a strategic vision for the Generative AI solution targeting personalized customer experiences, aligned product vision with the company’s long-term goals and automotive market demands.
Enhanced customer satisfaction by introducing personalized AI-driven features, achieving a 15% increase in customer engagement and loyalty.
Attended and represented Audi AG on a group-wide level in workshops for AI strategy for customer experience.
Leveraged knowledge of recurrent neural networks and transformer architecture.
Utilized GPT-3 generative AI frameworks.
Employed TensorFlow and PyTorch for machine learning.
Used Tableau from Salesforce for data analysis and visualization.
Served as solution manager for the Business Architecture team.
Collaborated with business stakeholders within Audi OEM to gather requirements for CRM strategy including marketing department, CRM heads across countries, VW group brands and CARIAD SE.
Represented Audi AG in CRM strategy workshops held in different countries.
Discussed CRM strategy with head of CRM and Data based on workshop outcomes.
Conducted business analysis on gathered market data to improve customer experience.
Planned and launched marketing campaigns such as welcome mailing, license renewal reminders, Audi Progress Circle and Black Friday campaigns.
Managed project budget.
Acted as solution manager for the ONE.CRM team at CARIAD SE on loan from Audi AG.
Collaborated with business owners of VW group brands to develop a central solution.
Represented CARIAD SE in CRM strategy workshops in Spain, France and Italy.
Discussed CRM strategy with head of CRM at CARIAD SE based on workshop outcomes.
Conducted business analysis on market and brand data to improve customer experience.
Planned and delivered campaign capabilities from template to brands such as welcome mailing for Audi AG, SEAT and SKODA.
Managed project budget together with head of CRM.
Mathew Divine
Last position:
Data Science Expert and AI Strategist at Freelancer
- Built an API to ingest, clean, translate, and index EU tenders documents in Neo4j, enabling hybrid search with RAG and Cypher queries via a Streamlit dashboard
- Deployed the API on AWS Lightsail container services with CI/CD automation via GitHub Actions, ensuring stability through pytest unit and integration tests
- Designed and developed a comprehensive online course on data analysis using ChatGPT for professionals and learners, creating instructional videos and interactive Jupyter notebooks
- Utilized OBS and professional audio equipment to ensure high-quality video and audio content
- Led a CRM data normalization and cleaning project visualized via a Sankey diagram to aid customer understanding and pipeline development
- Implemented and validated a genAI-driven web crawling strategy on AWS, ensuring data quality, scalability, and CRM data augmentation
Hendrik Hobbhahn
Last position:
Managing Director and Owner at GalloRosso UG (haftungsbeschränkt)
Company management and overall commercial responsibility
Placement of specialist and executive personnel, as well as interim managers
Jens Daube
Last position:
Product Owner & Senior Data Scientist at Legal Tech
- Led an international team of six developers in a Scrum environment
- Defined strategic goals for the project in coordination with stakeholders and the development team
- Prompt engineering for language models to improve the accuracy and relevance of generated responses
- Implemented LangChain components for a RAG chatbot to answer legal questions
- Technologies: GPT-4, LangChain, Python (Pandas, sklearn, streamlit), Docker, GitLab, ChromaDB
Virginia Wangeci
Last position:
Freelance Data Annotator & Search Evaluator at SIGMA AI
- Evaluated search results for relevance, accuracy, and quality based on given guidelines.
- Conducted data annotation and content labeling for AI training models.
- Assessed user intent to refine and enhance search engine algorithms.
- Provided linguistic insights for multilingual search optimization.
- Reviewed AI-generated responses to improve natural language processing (NLP).
Ralitsa Popova
Last position:
Process, Project and Requirements Manager, Client Project @ RUBINLAKE at 1&1 Versatel GmbH
- Introduction of a new workflow tool for fibre connectivity & broadband delivery
- Requirements design, estimation and prioritization
- Creation of rollout and project plans
- Managing the development team using Scrum
- Design and project management of the API interface to existing tools
- Process modeling for the new order dispatching teams (FCD & BD)
- Designing processes inside and outside the team
- Requirements design and implementation of necessary tools
- Creation and calculation of production KPIs
John Krämer
Last position:
Vice President, Board Staff at Helaba, Landesbank Hessen Thüringen
Leona Lammel
Last position:
Marketing & Communications Expert at Self-employed
- Developing positioning and brand strategies for market entries & relaunches
- Creating messaging frameworks, content and communication guidelines
- Advising marketing teams & agencies during growth and transformation phases
- Taking on project-based marketing lead roles (interim / sparring)
Discover over 15,000 top freelancers
Statistics of experts using Prompt Engineering
Aggregated from the professional profiles of matched freelancers.
Experience
14 years (Germany: 15 years)
Position duration
2.2 years (Germany: 3 years)
Positions per freelancer
9
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Professional Services, Healthcare
Certification focus areas
Information Technology, Project Management, Research and Development
Bachelor's degree or higher
100% (Germany: 95%)
Master's degree or higher
73% (Germany: 65%)
Doctorate
18% (Germany: 12%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
German, English, Russian
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 Frankfurt 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 Frankfurt 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
Prompt basics
Prompt engineering is the craft of writing and refining instructions for large language models. It helps companies turn plain business goals into reliable outputs for chat, search, drafting, summarization, and decision support. Strong specialists know how to shape context, constraints, tone, and output format.
Where it is used
- Customer support assistants and internal help desks
- Sales, marketing, and content workflows
- Search, extraction, and classification tasks
- Workflow automation with LLMs and APIs
Common tools
Prompt work often sits with ChatGPT, Claude, Gemini, OpenAI API, Azure OpenAI, and Anthropic tools. Experienced professionals also use evaluation sets, versioned prompt libraries, and guardrails to compare outputs and reduce drift. They know when to combine prompts with retrieval, tools, or function calls.
What strong experts do
Good prompt specialists do more than write clever text. They define reusable templates, handle edge cases, test failure modes, and adapt prompts to the model in use. They also document choices so teams can maintain the system after launch.
When to bring one in
Companies usually need freelance help when a prototype works but output quality is uneven, too slow, or hard to scale. In Frankfurt, this is common for teams building multilingual assistants, regulated workflows, or internal knowledge tools that must fit German and English usage. A specialist can tighten results without changing the whole stack.
How to judge quality
Look for clear evaluation habits, not just good sample prompts. A strong expert can explain trade-offs between prompt design, RAG, few-shot examples, and structured outputs. They should also be able to work with product, engineering, and domain teams and turn vague goals into testable instructions.
Frequently asked questions
Curious about Prompt Engineering? Here are the answers that come up again and again.
A strong Prompt Engineering specialist turns a business task into instructions a model can follow reliably. That includes shaping context, setting rules, defining output formats, and testing what happens when the model gets confused or incomplete input.
Yes. Prompt Engineering is broader than casual prompting in ChatGPT or Claude. It covers repeatable prompt patterns, evaluation, model-specific behavior, and how prompts fit into a larger system with retrieval, tools, or APIs.
Bring in a Prompt Engineering expert when outputs are inconsistent, the use case is business-critical, or your team needs to move from experimentation to a stable workflow. It is also useful when you need prompts aligned with a brand voice, a regulated process, or multilingual work in Frankfurt or across Germany.
A strong Prompt Engineering profile often includes LLM API work, retrieval-augmented generation, structured outputs, basic Python, and evaluation design. Domain understanding matters too, because the best prompts depend on the task, the audience, and the risk level.
Prompt Engineering is usually the first lever because it is fast and flexible. RAG helps when the model needs fresh or company-specific knowledge, while fine-tuning is for more stable behavior changes. Good specialists know when prompts are enough and when another approach is better.
A Prompt Engineering project can start small, but the more important the workflow, the more it needs structured testing and iteration. For a prototype, a focused specialist may be enough; for a customer-facing or internal production system, you want someone who can handle evaluation, edge cases, and handover.
Yes, most Prompt Engineering work can be done remotely because the core work is text, testing, and review. For teams in Frankfurt, on-site sessions can help with stakeholder alignment, domain interviews, and policy reviews, but day-to-day collaboration is usually easy from anywhere.
Ask for examples of prompt systems they improved, not just prompts they wrote. A strong Prompt Engineering freelancer should show how they measured output quality, handled failures, and kept prompts maintainable as models or requirements changed.
The average hourly rate of freelancers in Frankfurt, Germany who have used Prompt Engineering in their recent projects is 105 €, which corresponds to a daily rate of about 837 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Prompt Engineering in their recent projects, 100% hold at least a Bachelor's degree, 73% hold at least a Master's degree, and 18% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Prompt Engineering in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Frankfurt, Germany who have used Prompt Engineering in their recent projects are German (100%), English (100%), and Russian (21%).
The most common industries among freelancers in Frankfurt, Germany who have used Prompt Engineering in their recent projects are Information Technology (86%), Professional Services (57%), and Healthcare (50%).
The most common business areas among freelancers in Frankfurt, Germany who have used Prompt Engineering in their recent projects are Information Technology (86%), Product Development (86%), and Project Management (64%).
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 
Stuttgart 
Dusseldorf 
Dortmund 
Essen 
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
