Generative AI Experts in Stuttgart
matched in minutes from over 15,000 CVsHire experts who design LLM applications, retrieval-augmented generation systems and AI automation workflows, with the precise matching of vetted, available freelancers.
Meet FRATCH Experts in Stuttgart, who have recently used Generative AI
Volker W.
Last position:
Analyst – Platform Optimization at TradingView ProRealtime
Programming custom indicators with ProBuilder (for the ProRealTime platform)
6 months at RCP - Rabe Academy (basics - trading account - TWS Interactive Brokers) Focus: ETH price history - NVIDIA stock (NASDAQ and CBOE)
- 500 hours total (TradingView & ProRealTime), including approx. 1,500 hours of tick data analysis using ProRealTime
Systematic market analysis, development of custom indicators, pattern recognition.
Karin A.
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 U.
Last position:
Principal Strategic Designer at Berlin Bytes
- Selected clients: b.telligent, Jugendfeuerwehr, Stackable, 1K5
Albert F.
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 F.
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 F.
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 M.
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 S.
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 A.
Last position:
Participant in AI crash course: basics of artificial intelligence at IHK Region Stuttgart
Terms, methods, and technologies
Areas of application and potential
Using the AI periodic table
Opportunities and risks of using AI
Success factors for AI projects
Business case evaluation
Definition and distinction of generative AI
Opportunities and risks of generative AI
Writing prompts and creating custom GPTs
Copyright aspects of generative AI
Data protection in a business 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
19 years (Germany: 16 years)
Position duration
2.1 years (Germany: 2.3 years)
Positions per freelancer
13 (Germany: 10)
Top business areas
Project Management, Product Development, Information Technology
Top industries
Automotive, Manufacturing, Information Technology
Certification focus areas
Product Development, Project Management, Information Technology
Bachelor's degree or higher
100% (Germany: 97%)
Master's degree or higher
86% (Germany: 75%)
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 19 Sep 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 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.
- Automotive (78%)
- Manufacturing (67%)
- Information Technology (56%)
- Professional Services (56%)
- Banking and Finance (44%)
- Government and Administration (44%)
- Media and Entertainment (33%)
- Aerospace and Defense (22%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Generative AI does
Generative AI creates new content from learned patterns in text, images, audio, video and code. It powers conversational assistants, document workflows, creative tools and software features that respond to natural-language instructions. GenAI projects combine model capability with reliable product design, data controls and human oversight.
Models and methods
The ecosystem includes large language models, multimodal models, embedding models and image-generation systems. Experts work with hosted APIs, open-weight models and cloud AI services, selecting the right approach for quality, speed, privacy and operating cost. Retrieval-augmented generation connects model responses to trusted company knowledge without retraining the model.
Typical deliverables
- Conversational assistants grounded in internal documents
- Retrieval pipelines with embeddings, vector search and citations
- Prompt templates, evaluation suites and guardrails
- Content, code and image generation features
- AI agents connected to business tools and workflows
These deliverables may run inside customer portals, enterprise software, industrial systems or internal operations. Strong implementations define clear data flows, fallback behaviour and approval steps before they reach production.
When companies need specialists
Companies bring in freelance expertise when a proof of concept must become a dependable product, when existing models produce inconsistent answers, or when teams need to connect AI with private data. In Stuttgart, collaboration may involve local industrial, automotive, research or service organisations alongside remote product teams. Experts can support discovery, implementation, evaluation and knowledge transfer.
Skills around the technology
Effective work with Generative AI extends beyond prompt writing. It can involve Python or TypeScript, API integration, cloud services, vector databases, data preparation, orchestration frameworks, security and observability. Professionals also understand model context limits, structured outputs, tool calling, fine-tuning and the trade-offs between hosted and self-managed models.
What strong experts deliver
Strong professionals turn an open-ended AI idea into a testable system with measurable acceptance criteria. They compare models using representative data, protect confidential information and make uncertainty visible to users. They document prompts, retrieval sources and evaluation results so another team can maintain the solution. Clear communication matters, especially when domain experts, product teams and technical specialists work remotely or on site.
Frequently asked questions
Everything clients usually want to know about Generative AI, in one place.
Generative AI is used to create text, images, code, audio and structured responses from user instructions or business data. Common applications include support assistants, document extraction, search, content workflows, software features and internal knowledge tools.
Generative AI produces new content, while many traditional machine-learning systems classify, predict or rank existing data. It can reduce the need for task-specific training, but it still requires carefully prepared data, evaluation and controls.
LLM applications are useful when language flexibility and broad reasoning are important. Smaller models or rules can be better for narrow, repeatable tasks where response speed, predictable behaviour or data residency matters; a strong expert compares these options against the actual workflow.
A strong Generative AI expert may also bring Python or TypeScript, API integration, cloud services, vector databases and evaluation methods. Security, data engineering, user experience and workflow automation are equally important when the model becomes part of a production system.
A small prototype can be handled by one Generative AI specialist who understands model APIs, prompts and basic evaluation. Production work usually needs broader experience with data access, monitoring, privacy, failure handling and integration into existing software.
Generative AI work is often well suited to remote collaboration because model tests, prompts and evaluation data can be shared digitally. On-site workshops in Stuttgart can still help with process discovery, sensitive requirements and alignment with domain teams.
Ask how the Generative AI specialist evaluates factual accuracy, relevance, safety and consistency on representative examples. Look for clear architecture decisions, documented trade-offs, protection of confidential data and a plan for monitoring behaviour after launch.
Before starting, a Generative AI professional should clarify the users, business outcome, available data, model constraints and approval requirements. They should also ask who owns prompts and datasets, how quality will be assessed and whether collaboration is remote, on site or mixed.
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 717 € 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 86% hold at least a Master's degree.
On average, freelancers in Stuttgart, Germany who have used Generative AI in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2.1 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 (44%).
The most common industries among freelancers in Stuttgart, Germany who have used Generative AI in their recent projects are Automotive (78%), Manufacturing (67%), and Information Technology (56%).
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 (89%), and Information Technology (78%).
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
