Generative AI Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Generative AI
Khalid El Mansouri
Last position:
Lead Architect & Developer at kem-consulting
Development of an agent-based governance platform for the automated assurance of EU AI Act compliance and ODA-compliant orchestration of AI services in complex enterprise environments.
Design and implementation of an agent-based "Mission Control" framework (Aletheia Conductor) for autonomous state monitoring and process control.
Development of "Compliance-as-Code" (CaC) solutions based on OPA/Rego for system-wide enforcement of regulatory guardrails.
Integration of TM Forum ODA standards (TMF630, TMF622, TMF642) to ensure interoperability and standardization.
Building a highly available event-driven architecture using Redpanda and CloudEvents v1.0 for near-real-time event processing.
Implementation of an audit-proof "Evidence Chain" through cryptographic linking of trace logs in preparation for automated audits.
Tech Stack: Java 21 (Quarkus Native), TypeScript (Next.js), Redpanda (Kafka API), CloudEvents v1.0, OPA (Open Policy Agent) & Rego, TimescaleDB, ZincSearch, Redis, TM Forum ODA, Git, GitHub, Clean Code Development, Like-C4.
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
Jens Henneberg
Last position:
Interim CTO (occasional assignments) at Fujitsu / FSAS
Stabilizing an Azure/.NET landscape in live operation.
- Architecture, DevOps, and operational readiness; technical decisions under time pressure
- Azure DevOps, monitoring, ETL/ELT, cloud security, FinOps, and data-mesh-related topics
Technologies: Azure DevOps, .NET, CI/CD, monitoring, FinOps
Onur Kayir
Last position:
Project Manager & Outsourcing Manager at SENEC GmbH (EnBW Group)
- Building a scalable nearshore IT developer hub (Croatia, Czech Republic, Poland) as an independent company using a BOT model (Build – Operate – Transfer)
- Identifying, selecting, and managing full-service agencies; introducing governance and control mechanisms including KPIs, SLAs, and regular service reviews
- Creating and reviewing data processing agreements and framework contracts in coordination with Legal & Compliance; integrating regulatory requirements (including KRITIS) into process design
- Advising on cloud-vs.-on-premise strategies, data storage, and authorization concepts; supporting procurement with tendering and vendor evaluations
- Change management and process harmonization between internal teams and nearshore partners; reporting to management board, CFO, and CIO
Result: Scalable IT developer hub with an audit-proof governance model, lower operating costs, and faster product development.
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
Franz Bauer
Last position:
Product Development (AI) at Own initiative
AI telephone assistant platform
Claude Code, Google AI Studio, Python, LLM / Voice-AI, PostgreSQL
- Conception and hands-on development of an AI-supported telephone assistant platform (voice AI / LLM) – from idea and architecture to MVP/product.
- Built agentic workflows and full automations with Claude Code and Google AI Studio.
- Also delivered AI-supported work in client engagements: used Claude Code for governance documentation, requirement drafts, and automations.
Karin Albiez
Last position:
AI Benchmark Engineer | Native language specialist German at Lilt
- Task Engineering: Evaluating Coding Agents.
- Asset Creation: Building realistic task environments using datasets and files in German. Crucially, these assets must remain in the target language to genuinely measure multilingual handling.
- Prompting & Translation: finding failure points where AI does not work, in German.
- Implementation & Verification: Supporting the development of robust solutions (reference implementations) and write highly reliable, deterministic verifier scripts (using rubric-based judging only when strictly necessary).
- Calibration & Execution: Analyze execution logs and calibrate task difficulty (Easy to Very Hard) using standard Terminal-Bench run configurations against various model tiers (Haiku, Opus).
- Quality Assurance: Participation in a rigorous, 4-layer human quality control process (creation, human review, calibration review, and audit) alongside automated LLM-based checks to ensure fairness, grammatical accuracy, and benchmark integrity.
- Linguistic Review: Reviewing AI benchmark tasks across Hindi, Arabic, Japanese, Chinese, Czech and Turkish.
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
Burhan Dinler
Last position:
Enterprise Architect & Solution Architect at DB Netz AG
With project PRIZMA, DB will modernize its infrastructure on the one hand, and develop a fail-safe IT landscape on the other hand, which can be restored quickly and securely in case of a disaster.
- Capture current architectures of existing systems as well as methodical consulting and development of target architectures
- Deepen and maintain the building plan / target IT landscape
- Implement technical architecture concepts & architecture descriptions
- Implement migration concepts for updating and further developing the platform and information systems
- Assess submitted improvement suggestions as part of the project
- Capability management: identify capability gaps, develop target visions, and support transformation planning within the enterprise architecture.
- Create a compatibility matrix of the components in use and compare dependencies of specific versions
- Create an IT concept for extending the platform with the following topics: hardware and software requirements, security, licensing, high availability, load balancing, backup & recovery, update strategy, monitoring integration, etc.
- Coordinate with business architects as well as technical architects from the cross-functional architecture area of the PRISMA program for the topics (backup, Active Directory, monitoring, Citrix, and business applications ...)
- Status meetings and alignment of project planning with the Release Train Engineer / Project Manager
- Advise the Release Train Engineer / Project Manager in identifying project risks
- Advise the System Architect Engineers in steering the implementation of the concept
- Implement the IT concept
- Document the infrastructure
Label: MS Project, LINUX, Windows, ORACLE, Java, REST, SharePoint, Microsoft Exchange, UML, Enterprise Architect, BPMN, AZURE, AWS, V-MODEL, Micro Service, VisualStudio, SAP S/4HANA, SCRUM(SAFE), ESB (TIBCO), Python, Innovator, LeanIX (TOGAF), Ansible, Ansible Tower, Ansible Automation, ROBOT, SpringBoot
Shamaila Mahmood
Last position:
MCP, Kubernetes, Helm, Docker, Terraform, Typescript, Java, SpringBoot, Go Lang, React at Kubekanvas
- Development of a browser-based platform for no-code deployment and cluster management in Kubernetes
- Implementation of a CLI tool in TypeScript to provision resources directly from the browser interface into the cluster
- Development of a expression parser in Go and delivery as a microservice to extract Helm expressions from values files
- Use of LLMs to turn user intent into Kubernetes diagrams
- Technology stack: Java, Go, OpenAI API, React, Azure, Next.js, Strapi, Stripe Connect
Luca Beck
Last position:
Founder & CEO at Lube AI
- Develop custom AI agents delivering 90%+ reduction in manual workload and significant efficiency gains
- Provide end-to-end AI strategy consulting: from digital assessment to implementation and change management
- Design and deliver tailored training programs and workshops on AI adoption, prompt engineering, and automation
- Support clients in implementing scalable AI solutions integrated with existing technology stacks
- Focus areas: AI strategy, automation, workflow optimization, and capability building
David Schindler
Last position:
Senior Marketing and Communications Consultant at NetCologne Gesellschaft für Telekommunikation mbH
- Managed marketing, content and communications projects with six-figure budgets for a regional telecommunications and IT service provider
- Developed and managed content and video formats from concept to production, including shoot planning
- Led and coordinated social media managers, creative teams as well as external agencies and service providers
- Conceptualized, developed and optimized campaign landing pages throughout the entire lifecycle
- Managed collaboration between departments, management and external partners
- Ensured consistent brand communication as well as timely and high-quality delivery of all projects
Lucien André Reuter
Last position:
Founder and Managing Partner at NovoSign GmbH
I founded NovoSign together with two partners. There I am responsible for strategic development and operational management, from the product all the way to the business model.
This experience is especially valuable for my work as an external CDO: I know the product and founder perspective from my own responsibility, not just from consulting projects.
Michael Nelz
Last position:
Senior ML Engineer, AI Engineer at Lanxess AG
- Deployment and scaling of existing ML initiatives, including demand and cash flow forecasts.
- Building robust monitoring with mlflow for data stability, model performance, and drift detection, as well as implementing additional ML use cases.
- Further development of an Agentic AI chatbot for transparent and easy-to-understand model explanations.
Discover over 15,000 top freelancers
Statistics of experts using Generative AI
Aggregated from the professional profiles of matched freelancers.
Experience
16 years
Position duration
2.3 years
Positions per freelancer
9
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Professional Services, Automotive
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
97%
Master's degree or higher
74%
Doctorate
16%
Certifications per freelancer
3
Most common languages
English, German, French
Speak two or more languages
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 Germany 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 Germany 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 means systems that create text, images, code, audio, or structured output from prompts and data. It is used in chat assistants, content tools, search, document processing, and product features that need natural language interaction.
Core stack
A strong project often combines:
- Large language models and API integrations
- Prompt design and evaluation
- Retrieval-augmented generation, or RAG
- Vector databases and search layers
- Guardrails, logging, and output checks
Common work
Companies bring in specialists to move from idea to working flow quickly. Typical deliverables include proof-of-concepts, prompt libraries, model selection support, knowledge-base assistants, and internal copilots for teams that handle text-heavy work.
When to hire
Freelance expertise helps when a team needs to test use cases, add generative features to an existing product, or clean up early prototypes. It is also useful when in-house teams know the domain but need help with model behavior, data access, or reliability.
What good specialists do
Strong professionals think beyond prompts. They design for accuracy, privacy, latency, and maintainability, and they know when to use a hosted model, an open-source model, or a hybrid setup. They also test outputs against real tasks, not just demos.
Germany context
In Germany, companies often need specialists who can work with product, legal, and data teams without friction. English is common in the tech stack, but German-language output, local domain data, and clear documentation can matter for on-site workshops and remote delivery alike.
Frequently asked questions
Key details about Generative AI, drawn from the questions we get asked most.
Generative AI is used to draft text, summarize documents, answer questions, generate code, and create customer-facing assistants. It also supports search over internal knowledge, content operations, and workflow automation where language or structured output is part of the task.
Generative AI focuses on producing new output, while traditional machine learning often classifies, predicts, or ranks based on fixed labels. In practice, companies use both: generative models for creation and interaction, and classic models for scoring, detection, or forecasting.
A strong Generative AI specialist often also knows prompt design, API integration, retrieval systems, vector search, and model evaluation. Depending on the use case, they may also need data preparation, Python, cloud services, and basic security or privacy handling.
You do not need a fully defined architecture before hiring a Generative AI expert. Many companies bring someone in when they have a use case, a data source, and a business goal, but still need help turning that into a stable workflow.
Generative AI projects are often well suited to remote work because model APIs, prompts, and evaluation can be handled online. In Germany, on-site sessions can still help at the start when teams need workshops on use cases, stakeholder alignment, or access to sensitive internal knowledge.
A good Generative AI freelancer can explain trade-offs clearly and show how they tested outputs, handled edge cases, and reduced hallucinations. Look for practical examples that include RAG, evaluation methods, fallback behavior, and clear reasoning about data access and risk.
Before choosing Generative AI, teams often compare it with rule-based workflows, search, templates, or classic NLP. Those options can be better when the task is narrow and predictable, while generative models work best when language variation and flexible answers matter.
Generative AI can be used with company data, but the setup must be designed carefully. Specialists usually decide what data can be sent to a model, what stays private, how outputs are logged, and how to prevent leakage or weak answers in sensitive workflows.
The average hourly rate of freelancers in Germany who have used Generative AI in their recent projects is 102 €, which corresponds to a daily rate of about 815 € based on an 8-hour working day.
Of the freelancers in Germany who have used Generative AI in their recent projects, 97% hold at least a Bachelor's degree, 74% hold at least a Master's degree, and 16% hold a doctorate.
On average, freelancers in Germany who have used Generative AI in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 2.3 years.
The most common languages among freelancers in Germany who have used Generative AI in their recent projects are English (98%), German (97%), and French (21%).
The most common industries among freelancers in Germany who have used Generative AI in their recent projects are Information Technology (88%), Professional Services (48%), and Automotive (40%).
The most common business areas among freelancers in Germany who have used Generative AI in their recent projects are Information Technology (89%), Product Development (85%), and Project Management (61%).
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.
Berlin 
Hamburg 
Munich 
Cologne 
Frankfurt 
Stuttgart 
Dusseldorf 
Dortmund 
Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
