Prompt Engineering Experts in Stuttgart
in minutes from over 15,000 CVs with the power of AI.Hire experts who shape reliable prompts for chatbots, knowledge search, content workflows, evaluation loops, and tool-using LLM systems. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Stuttgart, who have recently used Prompt Engineering
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.
Artyom Narimanyan
Last position:
AI Automation Engineer & Solution Architect at Technology Research Project
Designed and developed an AI-powered automation platform using n8n to analyze social media niches, identify target audiences, and automate marketing strategy generation. The solution combined AI agents, workflow orchestration, and data analysis to automate research processes and generate data-driven insights.
- Designed and implemented complex automation workflows using n8n
- Developed AI-powered analysis agents for market and audience research
- Integrated multiple APIs and AI services into automated workflows
- Built automated market, competitor, and target audience analysis pipelines
- Leveraged Large Language Models (LLMs) for information summarization, classification, and prioritization
- Containerized and deployed the platform using Docker
Technologies: n8n, AI Agents, OpenAI APIs, Prompt Engineering, LLMs, Docker, Linux, REST APIs, Webhooks
Selin Ekici
Last position:
Project Manager & Entity PMO Lead at Valeo Switches and Sensors GmbH
- Lead and coordinate complex cross-functional projects within LiDAR and software development environments.
- Develop and maintain critical project schedules, monitor work packages, track project baselines, and manage milestone progression via Gantt plans.
- Drive robust project controls by preparing detailed project forecasts, cost analyses, workload planning, and resource tracking.
- Monitor and report core KPIs related to cost, timing, quality, and delivery performance to ensure alignment with organizational goals.
- Design and present executive dashboards, management reports, and steering committee presentations for senior leadership.
- Facilitate seamless communication and alignment between R&D, Quality, Purchasing, Manufacturing, Finance, and international stakeholders.
- Proactively identify risks, maintain comprehensive risk registers, and contribute to mitigation planning and escalation processes.
- Coordinate engineering change requests, assessing their operational impact on project scope, timing, resources, and budgets.
- Drive efficiency through AI-powered process improvements using LEA Suite, structured prompting, workflow automation, and automated meeting documentation.
German Rauhut
Last position:
Freelance Technical Product Owner & AI Product Builder at Neckarshore AI / Freelance
Two complementary tracks: (a) building my own AI products and open-source tools under the Neckarshore AI brand, with a focus on AI-supported multi-agent development processes and documentation automation; (b) freelance support for industrial, logistics, and financial companies in IT-related transformation projects.
Current product portfolio under the Neckarshore AI brand:
- Omnopsis Documenter — AI-powered documentation engine: generates compliance, technical, and release documentation from Git, Jira, and Confluence. 500+ automated tests, 100+ API endpoints, RBAC, monitoring stack.
- TrustScope — trust analysis for public GitHub repos: deterministic three-pillar report (Security & Supply Chain, Governance, Community) based on OpenSSF Scorecard, with constructive fix suggestions instead of a single misleading score.
- md-viewer — dependency-free Markdown viewer for macOS (Finder Quick Action) and web, split view of rendered document and raw text.
- Obsidian Vault Autopilot — AI-supported vault automation for Obsidian × Claude Code: sorts the inbox, renames notes, enriches frontmatter.
- Phonesis Voice Bank — voice archive for families, hospices, and cultural archives (guided recordings, inheritable archive, optional voice cloning); currently in the GDPR compliance phase (Art. 9, biometric data).
- Multi-Agent Development Process — 12+ specialized agents (architecture, implementation, security, refactoring, marketing) with structured handoff protocol, parallel execution, and automated quality assurance — powers the entire product development.
- Freelance consulting: Technical Product Ownership for production, logistics, and compliance/AML systems; steering international rollouts including test, cutover, and change management.
Stack: NestJS, TypeScript, PostgreSQL, Redis/BullMQ, Next.js, Claude Code (Opus), Docker, GitHub Actions, Vercel
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
Friederike Bohm
Last position:
Independent Consultant and Trainer at Friederike Bohm Consulting
- Consulting on lean, logistics, AI applications and process optimization
- Customized concepts for digitalization, change & transformation
- Adaptive training and workshops for professionals and managers
Andreas Neumann
Last position:
Project Manager at Rundfunk Berlin-Brandenburg rbb / IVZ
- Implementation of a GDPR-compliant knowledge management system "Ylvi" using Microsoft Azure Cloud Services (EU operation)
- Deployment of RAG technology (Retrieval Augmented Generation) and ChatGPT model for a digital coaching service
- Provision of company information: training documents, training videos, intranet content, technical concepts, best-practice processes, change management materials
- Used as an expert system in user support, with key users and end users
- Knowledge transfer on LLMs and RAG
- Research and development of RAG model structure and language model configuration
- Solution architecture, document analysis, test concept for language models, knowledge transfer workshops, content analysis, test concept, system prompt development
- Development control, stakeholder management, change management, implementation, deployment
Christine Plaf
Last position:
Trainer and Coach for Agile Frameworks and Agile Leadership in Public Sector Companies at empower agile
- Design and delivery of an in-house Agile Coach training for Messe Berlin
- Design and delivery of trainings on Lean Project Management at Sunday Natural
- Trainer for agile leadership and handling complexity at BSR and Messe Berlin
Timon Höfer
Last position:
Product Owner & AI Research Scientist at Porsche Digital
From PoC to Production!
Discover over 15,000 top freelancers
Statistics of experts using Prompt Engineering
Aggregated from the professional profiles of matched freelancers.
Experience
19 years (Germany: 15 years)
Position duration
1.8 years (Germany: 3 years)
Positions per freelancer
12 (Germany: 9)
Top business areas
Product Development, Information Technology, Project Management
Top industries
Automotive, Information Technology, Transportation
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
88% (Germany: 95%)
Master's degree or higher
50% (Germany: 65%)
Doctorate
13% (Germany: 12%)
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 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 Prompt Engineering
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
Prompt basics
Prompt engineering is the work of turning a language model into a useful system. Strong specialists write prompts that control tone, structure, constraints, and tool use so outputs are consistent and usable. It is often searched as prompt design, prompt writing, or simply prompting.
What it delivers
- Chatbots for support, sales, and internal help
- Retrieval workflows that answer from company documents
- Content generation with style and policy rules
- Structured outputs for forms, summaries, and extraction
- Tool calls and agent flows that follow clear steps
Ecosystem
Prompt work sits close to the model stack. Skilled professionals know how to work with OpenAI, Anthropic Claude, Gemini, open-source models, and orchestration tools such as LangChain or LlamaIndex when they fit the task. They also use templates, versioning, and test sets to keep prompts stable.
When to hire
Companies bring in freelance expertise when outputs drift, hallucinations rise, or teams need faster delivery on an LLM feature. This is common in Stuttgart for industrial software, mobility, and enterprise teams that need German and English prompts to behave well in real workflows. It also helps when an internal team has model access but no clear prompt strategy.
What strong experts do
A good specialist does more than write clever instructions. They define input formats, build examples, test edge cases, and refine prompts against real tasks. They also know when to use system prompts, function calling, retrieval, or post-processing instead of trying to solve everything in one prompt.
Quality signals
Strong prompt engineering shows up in repeatable outputs, clear failure handling, and prompts that are easy to maintain. Look for professionals who measure quality on real examples, document assumptions, and can explain why a prompt works. If a prompt only works in a demo, it is not ready for production.
Frequently asked questions
Key details about Prompt Engineering, drawn from the questions we get asked most.
Prompt engineering is used to make language models produce output that is useful, safe, and consistent. In practice, that means chatbots, document search, content drafting, classification, extraction, and step-by-step tool use. A strong specialist focuses on the task, not on writing clever text for its own sake.
Prompt engineering is the disciplined part of working with ChatGPT, Claude, Gemini, and similar models. It adds structure, examples, constraints, and evaluation so the model behaves the same way across cases. Without that work, teams often get responses that are hard to trust in production.
A strong prompt engineering freelancer usually understands LLM behavior, retrieval workflows, data formatting, and basic software integration. Knowledge of evaluation, prompt versioning, and API-driven tool use is also valuable. For many projects, familiarity with product writing and conversation design helps as well.
Prompt engineering help is useful when a model works in tests but fails with real users, messy documents, or changing inputs. It is also useful when teams need better structure for support, compliance, or internal knowledge access. Outside specialists can often spot prompt flaws and process gaps faster than a team learning by trial and error.
Yes, prompt engineering is often done remotely because the work depends on examples, feedback, and iterative review rather than a fixed location. For Stuttgart teams, remote support works well for drafting, testing, and refining prompts, while on-site sessions can help when the workflow is tied to internal stakeholders or sensitive knowledge. Many projects use a mix of both.
A prompt engineering specialist focuses on model behavior, instruction quality, and output reliability. Software engineers handle the surrounding application, and data scientists may focus on evaluation, data, or model choice. The best projects combine these skills instead of expecting one person to cover everything.
A strong prompt engineering professional can show before-and-after examples, explain trade-offs, and describe how they tested the prompt. Look for clear handling of edge cases, bad inputs, and fallback behavior. If they can only talk about one perfect demo, they may not be ready for production work.
A prompt engineering engagement in Stuttgart usually starts with the use case, target users, and language needs. From there, the specialist builds prompts, test cases, and review loops, then adjusts them with your team. Good local work also considers whether the final setup needs German-only output, bilingual support, or close collaboration with business stakeholders.
The average hourly rate of freelancers in Stuttgart, Germany who have used Prompt Engineering in their recent projects is 111 €, which corresponds to a daily rate of about 884 € based on an 8-hour working day.
Of the freelancers in Stuttgart, Germany who have used Prompt Engineering in their recent projects, 88% hold at least a Bachelor's degree, 50% hold at least a Master's degree, and 13% hold a doctorate.
On average, freelancers in Stuttgart, Germany who have used Prompt Engineering in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Stuttgart, Germany who have used Prompt Engineering in their recent projects are German (100%), English (100%), and French (44%).
The most common industries among freelancers in Stuttgart, Germany who have used Prompt Engineering in their recent projects are Automotive (89%), Information Technology (67%), and Transportation (56%).
The most common business areas among freelancers in Stuttgart, Germany who have used Prompt Engineering in their recent projects are Product Development (100%), Information Technology (89%), and Project Management (89%).
Main locations of FRATCH Experts, who have recently used Prompt Engineering
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 
Essen 
Nuremberg Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
