Generative AI Experts in Dusseldorf
matched in minutes with the power of AI and vetted, available freelancers.Hire experts who build GenAI use cases, tune large language models, and connect foundation models to your data and workflows. From chat assistants to content systems and internal copilots, get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Dusseldorf, who have recently used Generative AI
Alwin G.
Last position:
IT Interim Manager & AI Strategist
- AI product development: Design of an AI-supported GRC platform to automate compliance processes.
- AI expertise: Strategic deepening in Agentic AI and GenAI as a core asset for modern IT governance
- IT interim management and strategic consulting
Marijn Scholtens
Last position:
Senior Software Engineer at Puls Security GmbH
Optimizing and acceleraÂtion of our Gitlab CI pipeline
Conceptual work for the PoC of the Zero Trust system
Extension of the policy-engine backend in Go
Extension of the policy-testing mechanism in Python
Architectural design of the PEP component of Zero Trust
Documentation of the product
Technologies: Zero Trust, Go, Python, Gitlab CI, Docker, JWT, Domain-Driven Design
Corinna Schmidt
Last position:
Strategic Advisor Brand and Change at Targobank
- Strategic consulting for the Head of Brand on brand strategy and change processes
- Analysis of existing processes, resources, and interfaces within the team as well as with internal and external stakeholders
- Development and implementation of recommendations for action to improve processes and increase efficiency
- Project management and change management for the successful implementation of measures
- Management and selection of external service providers to ensure smooth execution
- Optimization of internal processes and interfaces through in-depth analysis and recommendations for action
- Effective acceleration of decision-making and management processes in brand management
- Successful management of external service providers and agencies for more efficient workflows and higher quality
Julian Hillebrand
Last position:
IT Project Manager AI product for automating knowledge-intensive processes at Leading provider of large-scale catering & food services
Project: Concept and implementation of an AI product for four business use cases
Project management of an AI project at a leading provider of large-scale catering and food services, where a production-ready AI product for four use cases was implemented together with an external development partner: automated briefings from CRM and document data, voice-based capture and structuring of reports, detection and merging of duplicates in master data, and data-based market analysis. A central focus was a privacy-compliant architecture that passed the internal IT security review and enabled productive use.
- Translating business requirements into clearly defined AI use cases with a clear product scope and clear value proposition
- Selecting and evaluating models and architecture options for text extraction, speech-to-text and context enrichment from business systems, including LLM integration, function calling and retrieval
- Designing and enforcing an architecture with European hosting, data minimization and masking of personal data as a prerequisite for approval
- Managing the interfaces between business, IT, IT security and the external development partner under restrictive data access conditions
- Coordinating with CIO and executive management on data access, risk assessment and approval decisions
- Preparing the transition into productive use
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
Adnan Karabegovic
Last position:
Chief Information Officer at ARLANXEO Deutschland GmbH
- Executed post-carve-out stabilization, system consolidation and cybersecurity uplift. Re-assessed system landscape and assets and designed new IT strategy for future. Implemented new IT operating model focusing on product-centric organization and re-internalization of critical resources.
- Successfully designed new IT operating model of the company, based on massive reduction of external dependencies, insourcing of key positions and upskilling of employees.
- Massive reduction of IT cost in the first three years (-40m$), bringing IT spend level below Gartner industry benchmark (1.27%).
- Introduced new product-centric organization based on fusion teams between business and IT across the company.
- Administered implementation of corporate-wide IT/OT cybersecurity program with more than 60 projects.
- Continuous improvement of enterprise IT/OT cybersecurity maturity level with significant increase in the first two years (CMMI >3.5, C2M2 >2.5).
- Governed successful implementation of the business transformation program within IT area by overachieving the savings target by $8m.
- Initiated and created new cloud-based data management platform based on best-in-class technology.
- Implemented first company-wide Microsoft Copilot AI program based on various business cases, leveraging GenAI and AgenticAI.
Saba Fazel
Last position:
Lead AI Strategy & Governance Consultant at Public Sector
- Operating Model Design: Designed and rolled out a 3-tier AI Governance Operating Model, defining organizational structures, roles, tooling, guidelines and processes across Corporate, Business Units, and Implementation layers to manage compliance for 200,000+ employees.
- EU AI Act Compliance: Led the strategic screening and risk classification of 3,800+ AI applications, implementing automated assessments for prohibited practices and General Purpose AI (GPAI) requirements.
- Enterprise Roll-out: Orchestrated the deployment of an internal GPT platform and Generative AI tools, defining the value proposition and adoption strategies for 10,000+ users.
- AI Literacy Architecture: Designed a modular AI training framework to transition the workforce from legacy manual workflows to AI-assisted processes.
- Executive Storylining: Developed strategic narratives for the CIO and Board to secure buy-in for AI investments, translating technical model performance into business-value summaries.
- PMO Infrastructure: Built the end-to-end PMO infrastructure using Jira, Confluence, and Azure Boards to track transformation progress and cross-entity dependencies.
Alina Ohrem
Last position:
Strategic Requirements Manager for OZG Project at INIT AG
- In my key role in strategic requirements management for the UVO online service, I established a comprehensive process from concept to execution.
- The responsibility included effectively collecting and prioritizing user feedback and requirements from municipalities and state administrations for direct service improvements.
- Developed, implemented, and led strategic requirements management for the OZG 2.0 UVO online service
- Gathering, prioritizing, and handling functional requirements, issues, improvement suggestions, and requests from municipalities and state administrations
- Creating release documentation
- Communicating implemented requirements to municipalities and UV offices
- Aligning with service managers and stakeholders
- Coordinating XFamily changes and version updates
- Managing and maintaining the Jira backlog and Confluence pages
- Responsible for Jira sprints, sprint planning, and review
- Coordinating with business, Product Owner, and development team for requirement implementation
- Testing implemented requirements in the online service
- Project documentation
Daniel Wolff
Last position:
Sabbatical at Sabbatical
- Travel and Gen AI trainings
Dalia Cananau
Last position:
Oracle Developer at Freelance
- Design and implementation of an OCI-based data warehouse and ETL system to replace legacy mainframe applications
- Developed a database optimization strategy and planned the rapid conversion of JCL and COBOL routines to PL/SQL using AI
- Developed an Oracle Apex-based app for internal administrative processes in the public sector (office equipment, staff training)
- Implemented PL/SQL workflows for approval processes and created a responsive mobile version with JavaScript and CSS
- Used Azure DevOps for backlog management and documentation, and Git for version control
- Developed REST interfaces to CRM systems
- Replaced and reprogrammed Oracle Forms screens with Oracle Apex and updated to the latest Apex versions
- Designed a Git branching strategy and conducted code reviews
- Maintained and further developed an EDI-based data exchange system based on Oracle Advanced Queuing for the public sector in Austria
- Performed data analysis and created charts in the Oracle Apex frontend; installed standalone ORDS and Apex 23.1
- Worked agile using the Spotify model; developed complex Apex pages with support from Oracle JET
- Rebuilt and customized existing PL/SQL packages, created workarounds for database version differences, and optimized queries
- Developed Apex applications for broker pools to manage and optimize Oracle databases in the banking environment, including SSO-based authorization systems with OAuth2 and Keycloak
- Built extensive Oracle Apex applications for BI and data mining modernization projects and developed manual and automated projection methods in the frontend
- Carried out data warehousing projects in the banking sector and used Scrum and Kanban in team projects
David Thibault
Last position:
Project Manager & Managing Director at umagine GmbH
- Project management in agile environments for eGovernment and Smart City projects
- Building knowledge on generative AI (Gen AI) for various existing clients and business development of Gen AI use cases
- Managing director responsibilities
Tim Hölscher
Last position:
External Attribution & Paid Media Auditor & Consultant at P&C
- Identified attribution and media opportunities with seven-figure potential
- Conducted audits of MMM, MTA, ROPO
- Developed full funnel omnichannel media strategy
- Managed channels: SEA, Social Paid, Display, Online Video, Affiliate, TV, OOH, Print, Radio, CRM
Ninad Kulkarni
Last position:
Business Development Manager Growth Initiative Europe & APAC at RWE Supply & Trading
- Working with the Commodity Flow Desk Global team to expand sales trading activities through market, customer and data analysis
- Understanding the global energy markets and commodity trading setups in Europe and APAC to support customers’ needs and broaden product offerings
- Applying sales trading expertise across commodities like gas, power, coal, oil and carbon certificates in both financial and physical trading environments
- Analyzing customer, trading and market trends to create robust trading lifecycle flowcharts to remain highly competitive in the global energy market
- Developing continuous reporting structures by leveraging GenAI tools for KPI monitoring and big data analyses
- Supporting internal stakeholder management within the European and APAC teams
- Adapting software solutions to foster further growth and organizing IT infrastructure strategy for CFDG’s activities
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
1.7 years (Germany: 2.3 years)
Positions per freelancer
10 (Germany: 9)
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Automotive, Government and Administration
Certification focus areas
Project Management, Information Technology, Product Development
Bachelor's degree or higher
100% (Germany: 97%)
Master's degree or higher
69% (Germany: 74%)
Doctorate
8% (Germany: 16%)
Certifications per freelancer
11 (Germany: 3)
Most common languages
German, English, French
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 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 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 uses models that create text, images, code, audio, or structured outputs from prompts and data. Companies hire specialists for chat assistants, content drafting, search over internal knowledge, and workflow support. Strong work starts with a clear use case and the right model fit.
Typical delivery
- Prompt design and evaluation
- RAG with company documents
- Model selection and fine-tuning
- Guardrails, filters, and review flows
- API integration into products
These projects often sit inside customer service, sales support, marketing, and knowledge management. In Dusseldorf, they also fit firms that need German and English outputs for local teams and clients.
Ecosystem
The stack usually includes OpenAI, Anthropic, Google Gemini, Azure OpenAI, open-source LLMs, vector databases, and orchestration tools. A good specialist knows where to use hosted models, where to use open weights, and how to keep prompts, context, and retrieval clean.
When to bring one in
Teams bring in freelance expertise when a prototype must become a reliable product, when output quality drifts, or when data access needs control. They are also useful when internal teams lack time for prompt testing, model comparison, or review logic. In Dusseldorf, that often means working with product and domain experts across locations.
What strong specialists do
Strong professionals think beyond prompts. They measure output quality, reduce hallucinations, design fallback paths, and make the system usable for real users. They also work well with product, data, and security teams, because Generative AI is as much about process as models.
Signs you need help
- Your prototype works, but production results are unstable
- You need private data in the workflow
- Users need safer, more consistent answers
- You must compare model options quickly
- You need better evaluation and monitoring
A specialist can turn a rough GenAI idea into something maintainable. The right one helps you keep scope tight, outputs useful, and integration practical.
Frequently asked questions
Curious about Generative AI? Here are the answers that come up again and again.
Generative AI is used to draft text, summarize documents, answer questions from internal knowledge, create marketing copy, support coding tasks, and produce images or structured output. In practice, companies use it where speed matters but human review still matters too. The best use cases have clear inputs, clear output rules, and a simple way to check quality.
Generative AI is more flexible than rule-based automation because it can handle messy language and varied inputs. Traditional automation is better when the logic is fixed and the output must be exact every time. Many strong solutions combine both: rules for control, models for language and reasoning.
GenAI is the broader term. It includes large language models, but also image, audio, and multimodal systems. When companies say they need a GenAI specialist, they often mean someone who can work with LLMs, prompts, retrieval, and safety checks.
A strong Generative AI specialist usually knows prompt design, API integration, data retrieval, evaluation, and basic security thinking. For product work, they should also understand user flows, content review, and how to measure useful output. If the project uses private knowledge, experience with RAG and vector search matters a lot.
A small proof of concept can start with a specialist who has shipped one or two similar systems and understands the model stack. A production system needs someone who has handled evaluation, guardrails, and fallback behavior. The more sensitive the data or the more visible the output, the more proven the expert should be.
Generative AI work can be done remotely very well because most tasks live in prompts, APIs, and review cycles. Still, Dusseldorf can be useful when workshops need close collaboration with product, legal, or domain teams. Many companies choose a hybrid setup: remote delivery with local sessions when alignment matters.
Ask for examples that show how the person tested output, handled bad responses, and improved consistency over time. A good Generative AI specialist can explain trade-offs between model choice, retrieval, latency, cost, and safety without hiding behind jargon. They should also show how they work with real user feedback, not just demos.
Freelancers joining a GenAI project should expect fast change, imperfect requirements, and a lot of testing. Good clients will want practical thinking on model choice, prompt design, and safe rollout, not just experimentation. Clear access to sample data and a defined review process makes the work much smoother.
The average hourly rate of freelancers in Dusseldorf, Germany who have used Generative AI in their recent projects is 106 €, which corresponds to a daily rate of about 844 € based on an 8-hour working day.
Of the freelancers in Dusseldorf, Germany who have used Generative AI in their recent projects, 100% hold at least a Bachelor's degree, 69% hold at least a Master's degree, and 8% hold a doctorate.
On average, freelancers in Dusseldorf, Germany who have used Generative AI in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 1.7 years.
The most common languages among freelancers in Dusseldorf, Germany who have used Generative AI in their recent projects are German (100%), English (92%), and French (23%).
The most common industries among freelancers in Dusseldorf, Germany who have used Generative AI in their recent projects are Information Technology (85%), Automotive (62%), and Government and Administration (62%).
The most common business areas among freelancers in Dusseldorf, Germany who have used Generative AI in their recent projects are Information Technology (92%), Product Development (85%), and Project Management (85%).
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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