Generative AI Experts in Stuttgart
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Meet FRATCH Experts in Stuttgart, who have recently used Generative AI
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.
Daniel Unger
Last position:
Principal Strategic Designer at Berlin Bytes
- Selected clients: b.telligent, youth fire brigade, Stackable, 1K5
Albert Frischmann
Last position:
Lead Product Owner at CMBlu Energy AG
- Lead Product Owner for 4 development teams
- Leading and coordinating a greenfield project with parallel implementation of core components by independent teams; managing dependencies and resources
- Establishing a data lakehouse approach, including analysis of data volumes and future requirements as part of a cloud migration (best-of-breed approach)
- Responsible for requirements analysis, selection, and piloting of a LIMS/ELN system, supported by advising decision-makers and managing external vendors
- Introducing and managing an OpenWeb UI and Azure OpenAI-based RAG system to support knowledge extraction and data-driven analyses
- Setting up, configuring, and managing Jira projects, as well as developing project-specific workflows and automations
- Implementing classic Scrum processes with all ceremonies and taking on the Scrum Master role for all involved teams
- Assisting in hiring through interviews and assessments from a product owner's perspective
- Making key architectural decisions, including selecting the platform for the data lakehouse (Databricks) and the strategic integration of LIMS and analytics platforms
Alberto Fernandez
Last position:
Head of Product & Services at Bosch Connected Industry
- Responsible for the BCI product portfolio, application services, operations and customer support
- Developed a new strategy that utilizes Agentic AI to transform manufacturing shopfloors
- Led the GenAI integration for product documentation and customer training targeting a >20% cost reduction by reducing the size of the external team
- Restored trust with Bosch as internal customer and VW and secured new contracts by strategically positioning high-potential individuals in key roles, ensuring on-time delivery and increasing transparency
- Implemented a restructuring plan for a product area in a volatile market, targeting a 15% reduction in fixed costs to minimize EBIT impact during challenging years
- Launched a customer satisfaction improvement initiative by refocusing KPIs on customer impact. Established a clear support responsibility in product teams improving response time by 4% and resolution time by 3%
Ronald Foerster
Last position:
IT Consultant & Training at Various Small Projects & AI Training
- Development of multiple websites for small businesses (6)
- SEO/SEM
- Business Consulting (Implementation of ERP systems (Fresha / MS Dynamics))
- AI Tooling, Prompting & Coding
- GenAI Chatbot (GPT 4.0)
- Creation of a telephone agent (NLP services, Twilio, Python, Azure Services)
- Python coding, report & dashboard creation
- Stakeholder management and consulting throughout the project lifecycle
Training and Certifications in AI:
- Microsoft Azure AI Fundamentals
- Develop Gen AI Solutions with Azure Open AI Service
- Designing and Implementing a Microsoft Azure AI Solution
- Artificial Intelligence for the Business Professional
- Generative AI for the Business Professional
- Certified Artificial Intelligence Practitioner
Noushiq Mohammed K A N
Last position:
Projects at Institute for Intelligent Systems
- Evaluation and analysis of camera-based traffic light and sign recognition system on various LLM-based autonomous driving systems (LMDrive, BEVDriver)
- Implemented VLM based traffic notice instruction generation unit for closed-loop autonomous driving system which alerts driver in unforeseen driving incidents
- Developed independent LLM-based local chatbot with Llama, DeepSeek and Qwen including MLflow evaluation framework
Christian Saba
Last position:
Research Associate – AI Consultant at Fraunhofer IAO
- Developed NLP and LLM POCs for use in manufacturing companies
- Applied advanced machine learning algorithms to analyze production data and develop custom data pipelines for quality assurance
- Designed and led the IAO basic seminar on AI in industry, including hands-on training modules
Karin Alf
Last position:
Participant in AI Crash Course: Fundamentals of Artificial Intelligence at Stuttgart Chamber of Industry and Commerce
Terms, methods and technologies
Application areas and potentials
Applying the AI periodic table
Opportunities and risks of using AI
Success factors for AI projects
Business case evaluation
Definition and scope of generative AI
Opportunities and risks of generative AI
Writing prompts and creating custom GPTs
Copyright aspects of generative AI
Data protection in a corporate context
European AI Regulation (AI Act)
Discover over 15,000 top freelancers
Statistics of experts using Generative AI
Aggregated from the professional profiles of matched freelancers.
Experience
17 years (Germany: 16 years)
Position duration
2 years (Germany: 2.3 years)
Positions per freelancer
12 (Germany: 9)
Top business areas
Project Management, Product Development, Information Technology
Top industries
Automotive, Manufacturing, Professional Services
Certification focus areas
Product Development, Project Management, Information Technology
Bachelor's degree or higher
100% (Germany: 97%)
Master's degree or higher
83% (Germany: 74%)
Certifications per freelancer
4 (Germany: 3)
Most common languages
German, English, Spanish
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 Stuttgart 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 Stuttgart 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 covers systems that create text, code, images, audio, or structured output from prompts and context. It is used for copilots, content workflows, search over internal knowledge, and process automation. In practice, many teams also refer to it as GenAI, LLM work, or ChatGPT-based solutions.
Typical work
- Prompt design and prompt testing
- Retrieval-augmented generation with company data
- Chat interfaces and assistant workflows
- Content generation, summarization, and classification
- Evaluation, guardrails, and output controls
Tooling and stack
Strong specialists work across model APIs, vector databases, orchestration layers, and app backends. They understand when to use OpenAI, Anthropic, or open-source models, and how to connect them to search, permissions, and logging. They also know where fine-tuning helps, and where better prompts or retrieval are enough.
When companies need help
Teams usually bring in freelance expertise when they want to move from experiments to a usable product. That can mean a customer assistant, an internal knowledge copilot, or a document workflow that needs reliable output. In Stuttgart, this often fits product, industrial, and enterprise environments where data quality and review steps matter.
What strong experts do
Good professionals do more than write prompts. They define the use case, shape the data flow, test failure cases, and work with product, security, and domain teams. They also keep an eye on latency, cost, model choice, and the risk of hallucinations.
Signs you need a specialist
- Outputs sound useful but are not reliable
- Prompts change too often to maintain
- Internal data is hard to reuse safely
- The team needs evaluation and guardrails
- A prototype exists, but production is blocked
Frequently asked questions
Everything clients usually want to know about Generative AI, in one place.
Generative AI is used to draft text, summarize documents, answer questions, and create structured outputs from company data. Teams also use it for code assistance, search assistants, and workflow support where a normal rules engine is too rigid.
Generative AI creates new output from patterns and context, while classic machine learning is often used to classify, rank, or predict. In practice, many projects combine both: a traditional model may decide what to route, and an LLM may produce the answer or draft.
GenAI works well when language, documents, or mixed content are central to the task. It is a poor fit when the output must be fully deterministic, the input data is weak, or the process can be solved more simply with rules or search.
A strong Generative AI specialist usually understands prompt design, retrieval-augmented generation, API integration, and output evaluation. Useful adjacent skills include Python, backend services, search, vector databases, and basic security review.
You do not need a fully built product before hiring for Generative AI. A good time is when you have a real use case, sample data, and clear quality rules, but the team needs help with architecture, model choice, or production hardening.
Most Generative AI work can be done remotely because it depends on product context, data access, and review cycles more than physical presence. On-site time in Stuttgart can help at the start of a project, especially when teams need to align on workflows, data boundaries, or German-language output quality.
A solid Generative AI expert can explain trade-offs in plain language and show how they test prompts, outputs, and edge cases. Look for clear thinking about data handling, guardrails, evaluation, and failure modes rather than flashy demos.
No. Generative AI is the wider field, and GPT is one family of models inside it. A good specialist should know when GPT, other LLMs, or open-source models are the better fit for the task.
The average hourly rate of freelancers in Stuttgart, Germany who have used Generative AI in their recent projects is 90 €, which corresponds to a daily rate of about 719 € based on an 8-hour working day.
Of the freelancers in Stuttgart, Germany who have used Generative AI in their recent projects, 100% hold at least a Bachelor's degree and 83% hold at least a Master's degree.
On average, freelancers in Stuttgart, Germany who have used Generative AI in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Stuttgart, Germany who have used Generative AI in their recent projects are German (100%), English (100%), and Spanish (50%).
The most common industries among freelancers in Stuttgart, Germany who have used Generative AI in their recent projects are Automotive (88%), Manufacturing (63%), and Professional Services (63%).
The most common business areas among freelancers in Stuttgart, Germany who have used Generative AI in their recent projects are Project Management (100%), Product Development (88%), and Information Technology (75%).
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 
Dusseldorf 
Dortmund 
Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
