
Generative AI Experts in Frankfurt
from over 15,000 CVs, matched in minutes with AIHire experts who design prompt strategies, connect foundation models to business data and deliver reliable AI features for customer service, content, software and knowledge workflows. FRATCH matches you quickly and precisely with vetted, available freelancers.
Meet FRATCH Experts in Frankfurt, who have recently used Generative AI
Vadim R.
Last position:
Independent AI Product Lab – Agentic Product Owner / Product Builder | R&D
- Hands-on development of AI-native product prototypes with specialized AI agents for research, requirements, business logic, UX/flow design, test case generation and quality assurance.
- Structured use and orchestration of AI agents through clearly defined roles, inputs/outputs and handover points; breaking down complex product tasks into verifiable work packages and iterative prototyping cycles.
- Establishment of human-in-the-loop quality gates to validate AI-generated results for functional correctness, consistency, completeness and feasibility; targeted rework cycles in case of deviations.
- Development of a regulatory GenAI/rules prototype for CRD VI with a structured decision flow, web UI, rule-based validation and automated test cases; iteration of the business logic through to a pilot-ready POC.
- Design of an AI-to-Action banking prototype: AI intent → consent → bank/product logic → conversion including admin console; translating the product idea into MVP scope, role model, user flows and clickable prototypes.
Patrick L.
Last position:
Senior GenAI Fullstack Developer at SBH (Schulbau Hamburg)
Remote freelance role focused on Agentic AI strategy, secure application patterns, and reusable agentic workflows for a government agency.
- Development and implementation of an open source Agentic AI strategy for a government agency, with a focus on GDPR, security, and self hosted solutions
- Development of reusable agentic workflows and mini applications that enable non technical employees to solve business problems independently
- Implementation of internal business applications with Single Sign On (SSO) and Azure PostgreSQL integration on Hetzner Linux servers
- Implementation of nine mini applications with Single Sign On (SSO) and Azure PostgreSQL integration on Hetzner Linux servers
- Techstack: Python, Nextjs, Typescript, Streamlit, Anthropic SDK (Claude), Azure, Linux Ubuntu, PostgreSQL, MS SQL, Angular, Authentik
Sebastian Z.
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
Christopher Z.
Last position:
IT Product Manager / Product Owner / 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 development and AI-supported use case assessment
Responsibilities & Impact:
- Management of existing digital products to ensure stable operations (Keep the lights on) amid growing regulatory complexity
- Product vision and development of a consistent, implementable roadmap
- Strategic backlog prioritization based on business goals, dependencies and technical feasibility
- Coordination of release planning, backlog, quality assurance and go-live readiness with business departments, IT, implementation teams and management
- Identification, structuring and assessment of AI-supported use cases at the interface of business departments, IT and the regulatory environment
- Analysis, structuring and translation of complex business requirements into epics and user stories
- Facilitation of team, stakeholder & alignment formats to ensure clarity of objectives, collaboration and decision-making ability
- Transparency on capacities, dependencies, delivery status and KPI/status aspects as a basis for product & management decisions
- Compliance with 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 ability and implementability through structured requirements, auditable documentation and AI-supported ways of working.
Marcus N.
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
Christina K.
Last position:
Founder | Freelance & Interim Talent Acquisition | Recruiting Consultant at Christina Sophia Knappe Consulting
- 100% Remote | Germany & Europe
- Freelance and interim support in talent acquisition, recruiting and executive search
- Flexible and short-term support for companies during recruiting peaks, temporary resource shortages and project-based talent acquisition needs
- Fast assumption of operational recruiting responsibility through many years of experience in in-house recruiting, RPO and recruitment consulting
- End-to-end recruiting from requirements analysis through active sourcing, direct search and interviews to selection, offer management and onboarding
- Targeted support for hard-to-fill positions through active sourcing, direct search and executive search
- Advising HR and hiring managers on recruiting, sourcing and hiring strategies
- Support with recruiting process optimization, standardization and further development of existing recruiting processes
- Independent management of parallel vacancies and recruiting projects with a short onboarding period and a high degree of operational independence
- Project-based engagement without long-term headcount expansion – 100% remote and flexible in Germany and Europe
Florentin S.
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.
Almaz A.
Last position:
Head of Innovation AI
In my current position, I have end-to-end responsibility for AI products: from identifying and prioritizing use cases, developing sound business cases, AI roadmaps, and capacity and resource allocation, through to scalable implementation across countries and business areas.
I design operating models, delivery standards, and operational concepts that ensure AI product development runs reliably and scales sustainably – always aligned with strategy, goals, capacities, and business value.
Leading and developing interdisciplinary teams of data science and product professionals in an agile working model is a core part of my role – I currently lead a team of three employees.
I am confident in stakeholder management at senior management level and in international structures, and translate complex technical topics into clear, business-oriented recommendations for action.
I consider governance from the outset: I consistently align AI initiatives with regulatory requirements (including the EU AI Act), risk management, and data protection requirements.
Alona L.
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 A.
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.
Eduard V.
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
Farhan H.
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
Mathew D.
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 P.
Last position:
Sr. UX Designer at Razorfish
- Development of microsites and digital campaigns
- Clients: Nissan, Audi, Ikea
Roman K.
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
Discover over 15,000 top freelancers
Statistics of experts using Generative AI
Aggregated from the professional profiles of matched freelancers.
Experience
14 years (Germany: 16 years)

Position duration
2.4 years (Germany: 2.3 years)

Positions per freelancer
9 (Germany: 10)

Top business areas
Information Technology, Product Development, Business Intelligence

Top industries
Information Technology, Banking and Finance, Healthcare

Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
100% (Germany: 97%)
Master's degree or higher
81% (Germany: 75%)
Doctorate
13% (Germany: 17%)

Certifications per freelancer
4 (Germany: 3)

Most common languages
German, English, French

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 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Generative AI 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 (89%)
- Banking and Finance (72%)
- Healthcare (44%)
- Professional Services (44%)
- Automotive (39%)
- Transportation (33%)
- Manufacturing (33%)
- Media and Entertainment (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Generative AI does
Generative AI creates new text, images, audio, video and software from learned patterns. Companies use it to build conversational assistants, content workflows, search experiences and tools that turn unstructured information into useful output. The work combines model selection, product design and careful control of generated results.
Models and tooling
Projects may use OpenAI models, Anthropic Claude, Google Gemini, Meta Llama or open-source models hosted in a private environment. Specialists work with APIs, embeddings, vector databases, retrieval-augmented generation, prompt templates, orchestration frameworks and evaluation tools. They also connect models to existing applications, permissions and data pipelines.
Where it creates value
Generative AI fits many workflows, but the right use case has a clear business outcome and suitable data.
- Customer support assistants grounded in approved knowledge
- Document analysis, summarisation and information extraction
- Marketing, product and editorial content workflows
- Internal search and natural-language access to company data
- Coding assistance and automated technical documentation
When to bring in an expert
Freelance expertise helps when a proof of concept must become a dependable product, or when a team needs guidance choosing between hosted and self-managed models. Companies also bring in specialists when outputs are inconsistent, data access is unclear, usage costs are difficult to control or security reviews block progress. In Frankfurt, remote collaboration is common, while on-site workshops can support complex stakeholder alignment.
Skills that matter
Strong professionals understand both model behaviour and the systems around it. They can shape prompts, build retrieval pipelines, design tool calling, manage context, test quality and monitor production behaviour. Useful adjacent skills include Python or TypeScript, cloud services, APIs, databases, data protection practices, user research and product analytics. German and English communication may both matter for local teams and international users.
How quality is judged
Good Generative AI work is measurable, traceable and safe to operate. A capable specialist defines representative test cases, checks factuality and relevance, handles refusal and escalation paths, and documents where answers come from. They protect sensitive data, separate instructions from untrusted content and design human review where errors carry business or customer risk. The result is not just an impressive demo, but a maintainable workflow with clear ownership and limits.
Frequently asked questions
Not sure where to start with Generative AI? These answers cover the essentials.
Companies use Generative AI for conversational assistants, document processing, content creation, internal search, software support and knowledge workflows. The strongest applications connect generation to approved company data and include review or escalation paths.
Generative AI handles flexible language, images and other unstructured inputs, while traditional automation follows explicit rules and fixed process steps. Many useful systems combine both: generation interprets or drafts, and deterministic logic validates, routes or executes.
A strong Generative AI specialist may also work with APIs, Python or TypeScript, cloud infrastructure, vector databases, data pipelines and retrieval-augmented generation. Product discovery, information security, evaluation design and user experience are equally important for production work.
The right level depends on scope, risk and integration complexity rather than a fixed duration. A simple internal prototype may need focused model and prompt expertise, while a customer-facing system requires proven work with evaluation, observability, security, data access and failure handling.
Yes. Generative AI work is often suitable for remote collaboration because model access, code, evaluations and documentation are shared digitally. On-site sessions in Frankfurt can still help when teams must align on sensitive data, user workflows or governance decisions.
Ask how the specialist measures factuality, relevance, latency, safety and user value for the specific use case. A capable Generative AI professional can explain model trade-offs, show evaluation methods, identify failure modes and describe how prompts, retrieved sources and sensitive data are controlled.
A company may consider an open-source model when control, deployment location, customisation or data handling outweigh operational simplicity. Hosted services can reduce infrastructure work and provide strong capabilities quickly, but the choice should reflect security requirements, integration needs and the expected operating model.
A Generative AI specialist may deliver a tested prototype, model and prompt strategy, retrieval pipeline, application integration, evaluation suite or production monitoring plan. Good deliverables also document limitations, data flows, fallback behaviour and the controls needed for responsible use.
The average hourly rate of freelancers in Frankfurt, Germany who have used Generative AI in their recent projects is 104 €, which corresponds to a daily rate of about 835 € 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, 81% hold at least a Master's degree, and 13% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Generative AI in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 2.4 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 French (22%).
The most common industries among freelancers in Frankfurt, Germany who have used Generative AI in their recent projects are Information Technology (89%), Banking and Finance (72%), and Healthcare (44%).
The most common business areas among freelancers in Frankfurt, Germany who have used Generative AI in their recent projects are Information Technology (94%), Product Development (78%), and Business Intelligence (67%).
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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