Prompt Engineering Experts in Nuremberg
in minutes from over 15,000 CVs with the power of AI.Hire experts who shape prompts for chatbots, content workflows, retrieval-augmented generation, and internal assistants. They refine instructions, test model behavior, and tune outputs for quality, safety, and consistency with fast, precise matching of vetted, available freelancers.
Meet FRATCH Experts in Nuremberg, who have recently used Prompt Engineering
David Onaiyekan
Last position:
Research Intern at Pattern Recognition Lab
- Spearheaded the integration of a custom Transformer-based encoder into the AFFGANwriting pipeline, replacing the legacy VGG19 architecture to capture richer, high-fidelity writer-style representations.
- Boosted user-study pick-rates by 40%, demonstrating a significant leap in the perceptual quality and realism of the generated handwriting compared to the baseline model.
- Enhanced OCR performance by 20% by implementing a teacher-student framework that leveraged a TrOCR benchmark model for auxiliary training alignment
Partha Nandi
Last position:
AI Software Developer at Fraunhofer IIS
- Built a custom AI chatbot for an e-commerce client using GPT-4 and LangChain with RAG, reducing customer support ticket volume by 45% and improving response accuracy to 92%.
- Designed and deployed an intelligent document processing system using LlamaIndex, Pinecone, and FastAPI for a FinTech startup, enabling semantic search across 100K+ financial documents.
- Developed multi-agent AI workflows using CrewAI and LangGraph for a marketing agency, automating lead research, content generation, and outreach — saving 20+ hours/week of manual work.
- Created AI-powered automation pipelines using n8n, Make, and Zapier integrated with CRMs (GoHighLevel, HubSpot), reducing manual data entry by 80% for a real estate firm.
- Delivered prompt engineering and LLM fine-tuning consulting for multiple clients, optimizing AI model outputs for customer support, content creation, and data extraction use cases.
- Built production-ready REST APIs with Python and FastAPI to serve AI models on AWS and GCP, handling 10K+ daily requests with 99.9% uptime.
Jozsef Ferincz
Last position:
IT project management, introduction of AI-supported software development
- Industry: software manufacturer
- Tasks: project management; tracking and coordination of projects; stakeholder management; change management; prioritization of requirements; alignment of architecture; supplier management (internal and external); release management; monitoring defect resolution with the teams; AI-supported software development, software testing and code analysis; AI prompting, prompt engineering
- Software: Jira, Confluence, MS Project, MS Teams
- Environment: IT, software development, agile, artificial intelligence (AI)
Andreas Gengler
Last position:
Senior Strategy Advisor Workstream Enablement at DATEV EG
- Designed a target operating model (including strategic mid-term planning and operational staffing) for the restructuring and capacity management process of the product workstreams to increase development efficiency, boost employee retention and improve profitability
- Integrated targeted incentives such as budget targets, contribution margin accounting and incentive schemes into the operating model
Muntaha Shams
Last position:
AI Engineer (Freelance) at Upwork
- Delivered 40+ AI projects and 23 strategic consultations for international clients (US, Europe, Middle East), achieving a 98% job success rate and building long-term partnerships.
- Developed and deployed production-grade AI solutions in computer vision, NLP, deep learning, and generative AI (LLMs, RAG pipelines, Stable Diffusion, OCR, chatbots), enabling automation and improving client efficiency by up to 70%.
- Designed and fine-tuned large language models (LLMs), including prompt engineering and integration with enterprise knowledge bases, leading to smarter decision-making and reduced manual effort.
- Built real-time computer vision applications (detection, segmentation, OCR) and integrated them into business systems, significantly enhancing accuracy and scalability.
- Consulted startups and enterprises on AI strategy, architecture, and deployment (cloud & on-premise), accelerating product development and reducing time-to-market.
- Managed complete AI project lifecycles (requirements gathering, solution design, deployment, support) in agile, international, and cross-functional environments, ensuring high-quality delivery.
Pawan Saxena
Last position:
CAPTCHA Recognition using CRNN
- Built a CRNN model with VGG16 and BiLSTM backbone for text-based CAPTCHA recognition
- Achieved 9.37% character error rate and 68.36% sequence accuracy on validation data
- Expanded data augmentation pipeline with distortions, noise injection, and clutter to improve robustness
- Conducted detailed error analysis on confusable characters (O, Q, D) and proposed error-specific augmentation
- Tech Stack: Python, TensorFlow/Keras, OpenCV, NumPy, Matplotlib
Simone Pfliegel
Last position:
Independent Expert and Assessor at EIT Culture & Creativity
- Independent expert and assessor for the European Institute of Innovation and Technology (EIT), Culture & Creativity
- Review and assessment of European innovation and funding applications based on defined quality and selection criteria
- Evaluation of relevance, level of innovation, feasibility, impact, scalability, and sustainability
- Professional focus areas: artificial intelligence, EdTech, digital transformation, education, innovation, and creative industries
- Analysis of complex project concepts, consortia, impact strategies, and European cooperation projects
- Preparation of well-founded, clear evaluation and selection assessments Experience at the intersection of education, technology, innovation, and European funding programs
Discover over 15,000 top freelancers
Statistics of experts using Prompt Engineering
Aggregated from the professional profiles of matched freelancers.
Experience
15 years
Position duration
1.5 years (Germany: 3 years)
Positions per freelancer
12 (Germany: 9)
Top business areas
Information Technology, Research and Development, Product Development
Top industries
Information Technology, Banking and Finance, Healthcare
Certification focus areas
Information Technology, Product Development, Research and Development
Bachelor's degree or higher
100% (Germany: 95%)
Master's degree or higher
100% (Germany: 65%)
Doctorate
29% (Germany: 12%)
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.
About the technology
Prompt basics
Prompt engineering is the craft of getting reliable results from LLMs with clear instructions, context, examples, and constraints. It turns vague requests into outputs that are useful for writing, search, analysis, support, and automation.
What it delivers
Teams bring in specialists to shape prompts for chat assistants, document processing, search helpers, and content pipelines. Common work includes prompt templates, output formats, guardrails, and test sets that expose weak responses early.
Common tools
- OpenAI, Anthropic, and other model APIs
- System prompts, few-shot examples, and structured outputs
- Retrieval-augmented generation and vector search
- Prompt libraries, evaluation sets, and review workflows
When companies need help
Freelance expertise is useful when outputs vary too much, users ask complex questions, or a team needs faster prompt design for a new product. In Nuremberg, this often matters for industrial firms, software teams, and service organizations that want German and English prompts to behave the same way.
What strong specialists do
Good professionals do more than write clever prompts. They map user intent, control tone and format, compare model behavior across tasks, and document what works so others can maintain it.
Collaboration and quality
Strong prompt work depends on clear goals, good sample inputs, and quick feedback from product, content, or operations teams. Remote collaboration works well for most prompt engineering tasks, while on-site sessions can help when stakeholders need to align on wording, review cases, or approve sensitive outputs.
Frequently asked questions
What clients ask us most about Prompt Engineering — answered in short.
Prompt engineering is used to make LLMs produce clearer, safer, and more useful outputs. Companies use it for customer chat, internal knowledge search, content drafting, data extraction, and workflow automation. The goal is not only better wording, but more consistent behavior across real user inputs.
Prompt engineering and prompt design are often used for the same work: shaping instructions so a model responds well. Some teams say prompt design when they focus on wording and structure, and prompt engineering when they include testing, iteration, and evaluation. In practice, the specialist usually does both.
Prompt engineering changes the instructions you give a model, while fine-tuning changes the model itself. Most teams start with prompts because they are faster to test and easier to revise. Fine-tuning becomes relevant when behavior must stay very stable or the task is highly specific.
A strong Prompt Engineering specialist usually understands LLM APIs, retrieval-augmented generation, prompt testing, and output validation. Experience with product writing, conversation design, data labeling, and basic scripting helps a lot. If the work touches compliance or customer support, domain knowledge matters too.
A prompt engineering project can start small if the task is narrow, such as improving one assistant flow or one extraction template. Larger work needs a specialist who can compare models, build test cases, and document prompt patterns for a team. The more sensitive the output, the more review and iteration you should plan for.
Yes, prompt engineering is usually well suited to remote work because most of the task happens in text, examples, and reviews. In Nuremberg, on-site sessions can still be useful for workshops with product, operations, or subject matter teams. Mixed collaboration often works best when stakeholders want to agree on tone and edge cases.
A good Prompt Engineering freelancer shows how prompts were tested, not just what they wrote. Look for clear examples, failure cases, versioning, and an explanation of why a prompt works for a specific model and use case. Strong specialists also document limits and know when a prompt should be replaced by another approach.
Before joining a prompt engineering project, freelancers should know the target user, the model stack, the output format, and the risk level of bad answers. They also need sample inputs, examples of good and bad outputs, and a clear review process. With that in place, the work becomes faster and easier to evaluate.
Of the freelancers in Nuremberg, Germany who have used Prompt Engineering in their recent projects, 100% hold at least a Bachelor's degree, 100% hold at least a Master's degree, and 29% hold a doctorate.
On average, freelancers in Nuremberg, Germany who have used Prompt Engineering in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 1.5 years.
The most common languages among freelancers in Nuremberg, Germany who have used Prompt Engineering in their recent projects are German (100%), English (100%), and Spanish (29%).
The most common industries among freelancers in Nuremberg, Germany who have used Prompt Engineering in their recent projects are Information Technology (100%), Banking and Finance (57%), and Healthcare (57%).
The most common business areas among freelancers in Nuremberg, Germany who have used Prompt Engineering in their recent projects are Information Technology (100%), Research and Development (100%), and Product Development (71%).
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 
Stuttgart 
Dusseldorf 
Dortmund 
Essen Request a free demo
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Philipp Thomaschewski
FRATCH CEO
