Generative AI Experts in Frankfurt
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Meet FRATCH Experts in Frankfurt, who have recently used Generative AI
Vadim Romanenko
Last position:
Senior Business Analyst – Digital Products & Risk at Deutsche Landesbank
- Analysis, structuring, and prioritization of complex business and stakeholder requirements for a business-critical limit and risk system.
- Translation of business requirements into backlog items, user stories, acceptance criteria, and end-to-end scenarios.
- Facilitation of structured workshops and refinements with business, development, and QA to clarify complex issues and derive actionable product and system requirements.
- Optimization of requirements, testing, and quality processes, including automation, data quality, and CI/CD-related workflows.
- Discovery and evaluation of AI/GenAI use cases in terms of user and business value, data basis, feasibility, and potential capability impact.
Sebastian Zwiesler
Last position:
CRM Consultant at Adevinta / kleinanzeigen.de
- Goal: Development and optimization of loyalty and CRM measures for a leading e-commerce platform
- Solution: Identification of promising users, increase in engagement, and long-term retention to drive revenue growth
- Definition of local CRM direct communication for specific segments
- Translation of research insights into actionable recommendations
- Planning and implementation of CRM campaigns in close collaboration with marketing and product teams
- Identification of optimization potential in direct communication
- Collaboration with external agencies on creative solutions, prototyping, and UAT
- Measurement and reporting of key KPIs
Ebru Ataman
Last position:
Product Operations Manager, Media Operations & Growth, Global Marketing at Zalando SE
- End-to-end responsibility for the successful implementation and continuous optimization of Mediatool for strategic media planning (offline & online).
- Development and management of efficient onboarding, configuration, and support processes for international stakeholder teams.
- Leadership of API integrations to connect external systems (e.g., for result tracking and performance measurement).
- Advising departments on tool usage and development, including workshop design, training, and knowledge transfer.
- Establishment and maintenance of comprehensive PMO tracking for all tasks, milestones, and deliverables.
- Prioritization and documentation of requirements, change requests, and bugs in Jira, with transparent communication via Confluence.
- Systematic evaluation of user feedback to derive data-driven optimization measures.
- Responsibility for the monthly Mediatool communication newsletter, including content creation for users and leadership.
Marcus Niebudek
Last position:
Founder and Managing Director at DR. NIEBUDEK CONSULTING GmbH
- Business consulting, interim management, and coaching
- Independent acquisition and delivery of consulting projects in the areas of strategy & innovation, processes, organization, and business transformation
Florentin Steiner
Last position:
Freelance UI/UX Designer at fintus GmbH
- Concept and UI design for cloud-based banking platforms and SaaS loan process automation, including AI-supported document validation.
- UX optimization of the loan application flow, expansion of the design system, and building a scalable white-label solution.
Christopher Zulauf
Last position:
IT Product Manager / Transformation Consultant at Leading German financial services provider
Further development & digitalization of key sales and application processes in a regulated banking environment, including requirements structuring, roadmap work, and AI-supported use case evaluation
Responsibilities & impact:
- Support of existing digital products in the sense of stable operations (keep the lights on) amid growing regulatory complexity
- Product vision and derivation of a consistent, feasible roadmap
- Identification, structuring, and evaluation of AI-supported use cases at the interface of business, IT, and the regulatory environment
- Analysis, structuring, and translation of complex business requirements into epics and user stories
- Moderation of team, stakeholder, and alignment formats to ensure clarity of goals, collaboration, and decision-making
- Maintenance of transparent structures and documentation (LeanIX, application profiles, runbooks)
Contribution to results:
Stabilization and further development of key financial processes under high regulatory and technical complexity. Improved transparency, decision-making, and implementability through structured requirements, reviewable documentation, and AI-supported ways of working.
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.
Farhan Haider
Last position:
AI Governance Consultant for Implementing a GenAI for Process Automation at a bank
- Ensuring the overall project goal with the Product Owner
- Onboarding a new service provider, including sourcing and contract negotiations with relevant stakeholders (e.g., procurement, legal)
- Implementing and executing the necessary governance processes
- Integrating new extraction software/GenAI tools to improve data extraction and processing within a document management workflow
- Ongoing agile management of deliverables, including building the project organization and controlling time, quality, and costs in the context of the overall project
- Sub-project organization, especially requirements management, structuring, agile planning, and prioritization
- Organizing and optimizing workstream communication for an end-to-end process
- Facilitating and leading meetings and workshops
- Change management consulting through targeted influence, coaching, and incentive systems
Eduard Van Kleef
Last position:
Workshop Leader 'Introduction to AI Development Tools' at Software company in Wiesbaden
- Presentation introducing generic AI and large language models
- Explanation of legal frameworks (EU AI Act, US CLOUD Act, GDPR)
- Systematic review of AI tools along the SDLC and holistic systems
- Comparison of on-prem LLMs vs. cloud-based, as well as change management and works council
- Facilitated the discussion and derived next steps for introducing AI development tools
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
Moritz Pommer
Last position:
Sr. UX Designer at Razorfish
- Development of microsites and digital campaigns
- Clients: Nissan, Audi, Ikea
Roman Krivtsov
Last position:
Senior Data Engineer / Cloud Architect at DB Systel
- Development of a central billing app for cloud costs at DB
- AWS
- Python
- AWS CDK
- RDS
- Spark (PySpark)
- Glue
- Lambda
- CI/CD (GitLab)
- React/Typescript
- data optimization
- Scrum
Michael Yaco
Last position:
Senior Consultant, Senior DevOps Engineer at DB Regio AG
- Supported implementation and operation of a portal used online and offline in customer-facing vehicles
- Automated processes by introducing CI/CD pipelines
- Provided enablement and methodological guidance for adopting software engineering best practices
- System environment: NestJS, Node.js, npm, AWS, Docker, Docker Swarm, GitLab CI, WhiteSource, PostgreSQL, Prometheus, Grafana, OpenSearch, REST API
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
Discover over 15,000 top freelancers
Statistics of experts using Generative AI
Aggregated from the professional profiles of matched freelancers.
Experience
15 years (Germany: 16 years)
Position duration
2.8 years (Germany: 2.3 years)
Positions per freelancer
9
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Banking and Finance, Automotive
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
100% (Germany: 97%)
Master's degree or higher
79% (Germany: 74%)
Doctorate
14% (Germany: 16%)
Certifications per freelancer
6 (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 Generative AI
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
Generative AI is used to create text, images, code, audio, and structured outputs from prompts and data. Companies bring it in for copilots, content tools, search, support automation, and workflow assistants that sit inside existing products.
Common stacks
- Prompt design and evaluation
- Retrieval-augmented generation with vector search
- OpenAI, Anthropic, Gemini, and open-source models
- API integration, orchestration, and guardrails
- Fine-tuning, safety checks, and monitoring
When to hire
Bring in freelance specialists when an internal team needs help turning an idea into a working GenAI feature. This is common for proof-of-concepts, production hardening, or migrations from a demo to a secure setup.
Strong delivery
Strong professionals do more than write prompts. They define the data flow, reduce hallucinations, set test cases, and align model behavior with business rules, tone, and compliance needs.
Frankfurt fit
In Frankfurt, Generative AI work often supports finance, logistics, consulting, and enterprise software teams. On-site workshops can help with sensitive data and stakeholder reviews, while build work and tuning are often handled well remotely.
Quality signals
- Clear examples of shipped GenAI features
- Experience with retrieval, evaluation, and safety
- Good judgment on model choice and cost tradeoffs
- Ability to explain limits, risks, and rollout steps
- Clean handover for product and engineering teams
Frequently asked questions
Not sure where to start with Generative AI? These answers cover the essentials.
Generative AI is used to draft content, answer questions, summarize documents, generate code, and power assistants inside products. In practice, companies use it when they want faster content creation, better knowledge access, or more natural user interaction without building every response by hand.
A strong Generative AI specialist focuses on prompts, model behavior, retrieval, and output quality, not just application code. They also understand how to test responses, reduce hallucinations, and connect the model to business data and workflow rules.
With Generative AI, retrieval-augmented generation is often the first choice when the model needs fresh or private company information. Fine-tuning makes more sense when you need a stable style, format, or domain behavior that data retrieval alone cannot deliver.
A capable Generative AI freelancer usually brings API integration, data handling, search, evaluation, and security awareness. For many projects, knowledge of vector databases, cloud services, and product design is just as important as model choice.
The right Generative AI specialist depends on the scope. A small prototype may only need one strong expert, while production work needs someone who can handle architecture, testing, monitoring, and governance with care.
Yes, most Generative AI work can be done remotely if the data access, security review, and decision process are clear. In Frankfurt, teams often mix remote delivery with on-site workshops when they need close input from product, legal, or domain experts.
Look for Generative AI work that shows real outcomes, not just prompt examples. Good specialists can explain why they chose a model, how they tested responses, what guardrails they added, and how they handled failures in production.
Generative AI is stronger when language, variation, and unstructured input matter. Rule-based automation is still better for fixed paths and strict outcomes, so the best projects often combine both instead of treating them as replacements.
The average hourly rate of freelancers in Frankfurt, Germany who have used Generative AI in their recent projects is 107 €, which corresponds to a daily rate of about 858 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Generative AI in their recent projects, 100% hold at least a Bachelor's degree, 79% hold at least a Master's degree, and 14% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Generative AI in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 2.8 years.
The most common languages among freelancers in Frankfurt, Germany who have used Generative AI in their recent projects are German (100%), English (100%), and Russian (25%).
The most common industries among freelancers in Frankfurt, Germany who have used Generative AI in their recent projects are Information Technology (88%), Banking and Finance (69%), and Automotive (44%).
The most common business areas among freelancers in Frankfurt, Germany who have used Generative AI in their recent projects are Information Technology (100%), Product Development (81%), and Business Intelligence (69%).
Main locations of FRATCH Experts, who have recently used Generative AI
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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