OpenAI Experts in Dortmund
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Meet FRATCH Experts in Dortmund, who have recently used OpenAI
Oliver K.
Last position:
Founder & Manager at ThinkForm Studio – AI Product Design & Innovation
Designing AI-native digital products by combining product strategy, UX research, interaction design, software engineering, and modern AI workflows. Leading projects from discovery to implementation while integrating AI throughout the entire product development lifecycle.
Key responsibilities
- → Product discovery, stakeholder workshops, Jobs-to-be-Done and user research
- → User journey mapping, information architecture and interaction design
- → Wireframes, high-fidelity UI, prototypes and scalable design systems in Figma and Penpot
- → AI-assisted interface generation and rapid concept exploration using Figma AI, Figma Make and generative design workflows
- → Design-to-code workflows with AI-supported frontend generation and engineering collaboration
- → Building accessible interfaces following WCAG 2.2 and enterprise design standards
- → Usability testing, iterative validation and KPI-driven product optimization
- → Development of AI knowledge systems, MCP-powered design workflows and human-in-the-loop review processes
- → Close collaboration with engineering teams to ensure production-ready implementation
Nemanja M.
Last position:
AI Engineer / Senior Backend Engineer at Intelycx
Manufacturing intelligence platform with enterprise workflows, RAG, real-time AI assistant features, and multi-repository backend architecture.
- Built and extended production AI/backend services with Django, DRF, FastAPI, GraphQL, Celery, PostgreSQL, MySQL, Redis, and WebSockets across a modular multi-repository platform.
- Contributed to ARIS V2, a real-time manufacturing AI assistant using LangChain, LangGraph, MCP tool orchestration, planning/execution flows, OpenAI, AWS Bedrock, Qdrant, and Elasticsearch/OpenSearch-backed retrieval.
- Supported rollout expansion from ARIS V1 in 4 of 17 client production plants to ARIS V2 currently active in 13 of 17 plants, increasing real-world deployment coverage to more than 50% of the client footprint.
- Worked on document-grounded RAG functionality including ingestion, OCR, chunking, embeddings, indexing, retrieval, reranking, and grounded answer generation for industrial workflows.
Stack: Python, Django, DRF, FastAPI, LangChain, LangGraph, GraphQL, Celery, WebSockets, OpenAI, AWS Bedrock, Qdrant, Elasticsearch/OpenSearch, PostgreSQL, MySQL, Redis, Docker.
Kersten L.
Last position:
Lead Architect / Lead Developer at Bettles: Sports Betting Platform
- Complete greenfield rebuild across the whole stack — built AI-native: backend in Go and NestJS, PostgreSQL (CNPG) on K3s with GitOps/Terraform; frontend on Angular 22, zoneless.
- Orchestrated coding agents (e.g. Claude Code, Cursor) across the entire lifecycle — architecture, implementation, testing, reviews, documentation — driven by Specification-Driven Development (SDD).
- “Bruno” — LLM commentator persona backed by RAG and MCP for a personality that stays consistent across all generations (match previews, post-match reports, his own virtual bets).
Angular 22 (zoneless, without Zone.js), Claude Code, Claude Code Skills, CNPG, Cursor, Design Tokens (Spec for Code), Docker, Gherkin, Git, GitLab, GitOps, Go, Google Gemini, Grafana, Hetzner Cloud, K3s, Keycloak, Kubernetes, Lighthouse, LLM Integration, Model Context Protocol (MCP), NestJS, Node.js, NPM, Playwright, PostgreSQL, Prometheus, RAG, REST, Specification-Driven Development (SDD), Structured Outputs, Terraform, TypeScript, Vitest
Laurin H.
Last position:
Software Architect (Freelance) at Care4Sure
- Delivered MVP-focused full-stack architecture for a health-sector client: Vite/React frontend, backend services on Google Cloud Run, and Supabase for database plus IAM/authentication.
- Supported product requirements engineering and prioritized cost-aware workload placement, implementing browser-side/edge computation where feasible before moving logic to backend services.
Patrik G.
Last position:
Technical Lead Conversational AI at CANCOM
- Technical lead of a team developing agentic chatbot solutions (React, TypeScript, Python, FastAPI)
- Architecture design for multi-LLM dialog systems - focus on maintainability, UX, and autonomous execution
- Stakeholder alignment, CI/CD processes, and AI integration at enterprise level
Derek M.
Last position:
AI Automations Manager - Hardware Setup, Automation & Voice Agent at Autohaus Mazda
- Setting up new desktop computers
- Setting up a VPS for automation, databases and chat interface
- Connecting to Azure AI Foundry
- Developing various n8n workflows for email, social media and document management
- Implementing a QA system (backups, error handling, HITL)
- Setting up and optimizing an inbound voice agent
Andreas E.
Last position:
AI Coach and Consultant at Studio 8 Dortmund
- Setting up and consulting a startup for organizational development (AI-supported)
- Vision and mission workshops
- Marketing roadmap and process design
- Development of sales processes (sales funnel, lead generation)
- Brand building and social media omnichannel strategies
- Content generation for audio, video, and posts (AI-supported)
- Agile consulting and SAFe implementation
- Atlassian consulting and setup of Confluence and Jira (workflows, dashboards, reporting)
- Setup of a podcast and video studio including live streaming setup
- Selection and implementation of hardware and software
- Website creation and brand building
- CMS implementation based on Typo3
- Consulting in sales, marketing, and social media
- Supporting companies in the efficient use of AI technologies
- Strategy development and consulting on implementing AI strategies
- Change management and supporting teams in AI adoption, including training
- Technical expertise in machine learning, data processing, and large language models (LLMs) like Llama, Claude, and OpenAI GPT
- Selection, fine-tuning, and integration of LLMs into business processes
- Consulting on ethics and governance for responsible AI use
- Conducting tailored training for executives and teams
- AI analysis of various large language models (Llama, OpenAI, Mistral)
- Creation and training of custom GPTs focused on organizational development (product vision, OKR, agile maturity)
- Development of a chatbot on agile maturity
- Development of an AI-generated survey to assess organizational agility
- Setup of local offline GPTs with a focus on data protection and GDPR compliance
- Conducting AI workshops for SMEs and mid-sized companies
Hendrik B.
Last position:
Lecturer at Front and Fullstack Development Lecturer
- Teaching JavaScript, HTML, CSS, React, NodeJS, MongoDB, MariaDB, and Express
- Designing and preparing lessons
- Classroom teaching and one-on-one coaching
Discover over 15,000 top freelancers
Statistics of experts using OpenAI
Aggregated from the professional profiles of matched freelancers.
Experience
19 years (Germany: 16 years)
Position duration
1.8 years (Germany: 2.8 years)
Positions per freelancer
14 (Germany: 11)
Top business areas
Information Technology, Product Development, Operations
Top industries
Healthcare, Information Technology, Automotive
Certification focus areas
Information Technology, Product Development, Human Resources
Bachelor's degree or higher
100% (Germany: 90%)
Master's degree or higher
40% (Germany: 62%)
Doctorate
20% (Germany: 10%)
Certifications per freelancer
2 (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 Dortmund 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.
Discover detailed OpenAI rate benchmarks:
Explore rate insightsAverage rates of experts in Dortmund using OpenAI
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.
OpenAI experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Healthcare (100%)
- Information Technology (100%)
- Automotive (75%)
- Education (75%)
- Manufacturing (63%)
- Professional Services (63%)
- Government and Administration (63%)
- Retail (63%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What OpenAI covers
OpenAI work usually means using the OpenAI API, ChatGPT, and GPT models to add language and reasoning features to products. Companies bring in specialists to build assistants, automate text tasks, classify content, and connect model output to business data.
Typical deliverables
- API integrations for chat, search, and summarization
- Prompt design and response tuning
- Retrieval workflows with company knowledge
- Safety rules, fallback logic, and human review steps
Skills that matter
Strong professionals understand model behavior, token use, structured outputs, and latency trade-offs. They also work with Python or JavaScript, webhooks, vector databases, and test cases that cover real user requests, not just ideal prompts.
When teams need help
Many teams in Dortmund bring in freelance expertise when a prototype needs to become a stable product, or when existing ChatGPT features need better control. Common cases include support tools, sales assistants, document processing, and knowledge search inside internal systems.
What good specialists do
Good specialists write prompts that are clear, versioned, and easy to maintain. They also measure output quality, reduce hallucinations, and keep the system useful when the model changes, the data changes, or the use case expands.
Where it fits
OpenAI often sits inside customer service tools, content workflows, onboarding flows, and internal copilots. It can work well alongside CRM systems, ticketing tools, document stores, and retrieval layers when the goal is fast, reliable language automation.
Frequently asked questions
Everything clients usually want to know about OpenAI, in one place.
OpenAI is used to add chat, text generation, summarization, classification, and search-like language features to products. Teams use it for support assistants, internal knowledge tools, document workflows, and guided content creation.
OpenAI usually gives teams a faster path to strong language quality and easier API access. Local open-source models can offer more control over hosting, but they often need more setup, tuning, and infrastructure work.
OpenAI is the company and model provider, while ChatGPT is a product built on top of its models. In projects, people often talk about both when they mean the same ecosystem, but the implementation usually happens through the API.
A strong OpenAI specialist usually knows prompt design, API integration, and data handling. Useful adjacent skills include Python or JavaScript, retrieval workflows, vector search, and testing with real user inputs.
You do not need a fully finished spec, but you should know the user problem, the target workflow, and the success criteria. A good OpenAI freelancer can help shape the scope, then turn a rough idea into a safe and testable implementation.
Yes. Most OpenAI work can be done remotely, because the core tasks are API design, prompt work, and software integration. On-site time in Dortmund only becomes useful when teams need close workshops, stakeholder interviews, or access to sensitive internal processes.
Look for someone who can explain trade-offs clearly and show real project examples, not just prompt snippets. A strong OpenAI specialist thinks about accuracy, fallback behavior, evaluation, and how the system behaves when users ask messy real-world questions.
The biggest mistake is treating OpenAI like a magic layer instead of a software component that needs rules and checks. Other common issues are vague prompts, no evaluation set, weak data retrieval, and no plan for handling unsafe or unreliable outputs.
The average hourly rate of freelancers in Dortmund, Germany who have used OpenAI in their recent projects is 89 €, which corresponds to a daily rate of about 714 € based on an 8-hour working day.
Of the freelancers in Dortmund, Germany who have used OpenAI in their recent projects, 100% hold at least a Bachelor's degree, 40% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers in Dortmund, Germany who have used OpenAI 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 Dortmund, Germany who have used OpenAI in their recent projects are German (100%), English (100%), and Spanish (25%).
The most common industries among freelancers in Dortmund, Germany who have used OpenAI in their recent projects are Healthcare (100%), Information Technology (100%), and Automotive (75%).
The most common business areas among freelancers in Dortmund, Germany who have used OpenAI in their recent projects are Information Technology (100%), Product Development (100%), and Operations (88%).
Main locations of FRATCH Experts, who have recently used OpenAI
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 
Essen 
Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
