Conversational AI Experts in Munich
, matched in minutes from over 15,000 CVsHire experts who design AI assistants, connect chatbots to business systems and improve natural-language interactions across customer service, sales and internal operations. FRATCH matches you quickly with vetted, available freelancers whose skills fit your project.
Meet FRATCH Experts in Munich, who have recently used Conversational AI
Paul W.
Last position:
Enterprise Architect at ePrimo GmbH
Led the end-to-end integration and migration architecture for decommissioning SAP IS-U market communication and transitioning to Salesforce Marketing Cloud (SFMC) with E.ON IT Services — covering regulated EDIFACT market messaging, a three-phase data migration (transfer of market message inventory after cutover), redesign of market communication processes, and full GDPR and German energy-market compliance.
- Designed the three-tier target architecture (SAP IS-U → NScale B2B gateway → SFMC) processing 50,000–100,000 EDIFACT messages daily within sub-5-minute SLAs.
- Architected the three-phase data migration: 36 months of historical data, zero-loss cutover of in-flight market messages, and near-real-time CDC synchronization.
- Delivered secure, BDEW/GDPR-compliant integration (AS2/OFTP2, RFC/IDoc, REST APIs, OAuth 2.0, Azure AD, AWS S3) achieving >99.5% uptime, <0.1% migration discrepancy, and RTO <4 hours.
- Applied BPMN to model and optimize the market communication processes.
Technologies: SAP IS-U, NScale, Salesforce Marketing Cloud, EDIFACT, OAuth 2.0, Azure AD, AWS S3, BPMN, Jira, Confluence, Draw.io
Philipp T.
Last position:
Founder & CEO at FRATCH.IO
AI-native B2B SaaS for freelancer sourcing; DACH market.*
Enterprise partnerships across four industries: structured and closed multi-stakeholder deals with Telefónica (Telco), Emma Matratzen (Retail), Nürnberger Versicherungen and Flatex (Financial Services), Hubert Burda Media and Serviceplan Gruppe (Media).
Revenue and growth: scaled FRATCH from €0 to €3.8M annual GMV, with ~80% of revenue sourced from founder-led direct outreach and partner relationships.
Channel partnerships: sold FRATCH as a SaaS solution to recruiting firms (e.g., YER) — built the partner-enabled motion alongside direct enterprise sales.
Team build: scaled FRATCH from solo founder to a team of 7 across engineering, product design, operations, and supply outreach.
Proprietary network asset: onboarded 15,000+ freelancers as registered users — the proprietary DACH network powering FRATCH's matching.
Built and launched FRATCH GPT (fratch.io/gpt): a production conversational AI agent. Architected the full stack — LLM orchestration, embeddings, re-ranking — with hands-on involvement in technical design and execution.
GTM build: owned the full go-to-market stack — outbound, LinkedIn (organic + paid), content, and sales enablement.
Hans-Heinrich W.
Last position:
Senior AI Product Engineer | Flutter · MVP · Agentic Engineering at struppilog.com
struppilog.com – Digital health record for pets / MVP → Full Product
Design, development, and full further development of a digital health platform for pets – from my own MVP development to a fully built and production-ready platform.
Independent concept and development of the MVP Development of the full application with Flutter/Dart and Firebase Expansion of the MVP into a full digital health record with health data, findings, allergies, medications, documents, and emergency data Development of user registration, authentication, roles, data models, and secure user interactions Implementation of QR-code-based data exchange and digital interaction features Development of a multilingual, responsive web application Integration of AI-supported features and AI/agentic workflows Development and continuous improvement of product logic, UX/UI, and technical architecture Building and expanding a scalable cloud-based solution with Firebase Integration and further development of APIs and external services Use of AI-native / agentic engineering to speed up development, testing, debugging, and product iteration Independent implementation of all other features and technical extensions Continuous further development of the MVP into a full digital product
Impact: The MVP I built myself was continuously developed technically and functionally into a broad, production-ready platform – including frontend, backend, data model, authentication, UX/UI, APIs, cloud infrastructure, and ongoing product development.
Luigi C.
Last position:
Senior Full Stack Developer at Almuc Advertising GmbH
- Applied modern JavaScript features, including ES6+ syntax, destructuring, modules, array methods, and asynchronous programming, to develop efficient and readable frontend code.
- Implemented frontend integration patterns for PHP and Laravel backend services, connecting React interfaces to REST APIs and handling structured JSON data.
- Developed interactive, functional component-based frontend applications using React Hooks, JavaScript, and TypeScript, alongside backend applications and RESTful APIs using Python, Django, Flask, and FastAPI, focusing on reusable components, modular architecture, maintainability, and efficient data processing.
- Maintained a dynamic portfolio platform using PHP, Laravel, Livewire, and MySQL, implementing end-to-end functionality across frontend interfaces, backend services, and database operations.
- Validated server-side request handling, routing, middleware, and form validation using Laravel features to support reliable application workflows and consistent data processing.
- Designed and managed relational database structures using MySQL and Laravel Eloquent ORM, implementing data models, relationships, database migrations, and efficient queries for content management.
- AI-powered applications integrating Large Language Models (LLMs) through external APIs and locally hosted models, exploring practical use cases for conversational AI, intelligent automation, and AI-assisted workflows.
- Built local AI applications and developer tools for running, configuring, and interacting with locally hosted language models, gaining experience with local inference, model integration, and privacy-conscious AI workflows.
- Explored Retrieval-Augmented Generation (RAG) approaches to combine language models with external knowledge sources, enabling context-aware responses based on relevant application data and retrieved information.
- Integrated AI services with backend APIs and application components, developing reusable modules for model communication, response processing, error handling, and data exchange.
Hans-Christian R.
Last position:
AI Voice Systems Consultant at QuantaLingo
Consulting and prototype work on AI voice and multilingual agent systems, using AI-assisted delivery across realtime translation prototypes, call-centre automation, and voice-to-voice consultation workflows.
- Built and advised on AI voice / agentic conversation prototypes, including realtime translation and consumer-facing consultation experiences.
- Worked across call-centre automation, voice UX, product architecture, implementation tradeoffs, and prototype development.
Will C.
Last position:
Freelance Writer | UX Content Designer | AI Content Engineer at Cade Communications
- Airbus: Forum - feature writing on technology for internal employee magazines
- Bosch: Security and Safety Systems - feature writing and copy writing for industry magazines and social media
- Dassault Systemes: 3DExcite - screenwriting for corporate vision videos on digital transformation
- Deutsche Telekom: Brand & Design - copywriting and translating guidelines and books on design thinking
- GoTo: LogMeIn Rescue & GoTo Admin - UX writing and AI prompt engineering for IT support software
- MTU Aero Engines: Aeroreport - judging and ranking the editorial quality of B2B and B2C translations
- Siemens: Financial Services - copywriting and editing for internal finance sites and newsletters
- Zeiss: Beyond Design System - UX writing for voice & tone guidelines to help improve conversational AI
Nurbüke T.
Last position:
Working Student – Software Engineer at Rohde & Schwarz
- Developing software tools within the EICACS program (LDACS project) supporting secure avionics communication.
- Built Python-based automation and monitoring services to validate AI components under Trustable AI guidelines.
- Designed CI/CD and test pipelines improving reproducibility and reliability across teams.
Mohamed S.
Last position:
Machine Learning Engineer (Part Time) at E.ON Digital Technology
- Designed and implemented an advanced, agentic RAG pipeline using LangChain and LangGraph for structured data extraction from PDFs, utilizing tools, state management, and OpenAI LLMs (GPT-4) to improve accuracy and handle complex document structures.
- Developed a Google AI agent for extraction of structured information from PDF documents and deployed the agent on Vertex AI.
- Architected data pipelines using Azure Data Factory and Databricks to ingest data from Azure Blob Storage, process it with PySpark, and load it into Azure SQL Database via Linked Services.
- Containerized AI agents and services using Docker for consistent local development and deployment.
- Utilized PySpark and Dask for database querying in coordination with Azure Blob Storage and Document Storage.
- Created a ReAct agent that extracts structured data from PDF documents using tools and integrating Azure Document Intelligence.
- Contributed to the CPO invoices validation check project using Databricks to find existing CDRs and calculate total valid costs.
- Developed a conversational AI agent (chatbot) with a FastAPI backend, integrating RAG for precise tariff extraction and deployed the service using Azure Container Apps.
- Tools used: Azure, Azure OpenAI, Azure Document Intelligence, Azure Blob Storage, Google ADK, Google Cloud, Vertex AI, Gemini, Databricks, LangChain, LlamaIndex Ollama, Docker, PySpark, Azure SQL, Azure Data Factory, Azure AI Agent, Microsoft SQL Server
Discover over 15,000 top freelancers
Statistics of experts using Conversational AI
Aggregated from the professional profiles of matched freelancers.
Experience
16 years (Germany: 15 years)
Position duration
3.4 years (Germany: 2.4 years)
Positions per freelancer
9 (Germany: 8)
Top business areas
Product Development, Information Technology, Business Intelligence
Top industries
Information Technology, Healthcare, Manufacturing
Certification focus areas
Project Management, Information Technology
Bachelor's degree or higher
86% (Germany: 90%)
Master's degree or higher
43% (Germany: 64%)
Certifications per freelancer
2
Most common languages
German, English, Spanish
Speak two or more languages
100% (Germany: 98%)
Based on our profile pool as of 26 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Munich are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Munich using Conversational 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 26 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Conversational AI experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (100%)
- Healthcare (50%)
- Manufacturing (50%)
- Media and Entertainment (50%)
- Education (38%)
- Transportation (38%)
- Professional Services (38%)
- Retail (38%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What it does
Conversational AI enables software to understand human language and respond through text or voice. It powers customer-service chatbots, employee assistants, voice interfaces and guided workflows. Unlike fixed scripts, modern systems use language models, retrieval and context to handle varied requests while staying within defined business rules.
Typical applications
Companies use conversational systems across customer-facing and internal processes:
- Automating support questions and service triage
- Guiding product discovery, sales qualification and bookings
- Answering questions from policies, manuals and knowledge bases
- Supporting employees with search, IT help and workflow actions
- Providing voice experiences in contact centres and connected products
Ecosystem and tooling
Projects often combine large language models with orchestration, prompt design, retrieval-augmented generation and evaluation. Common components include OpenAI models, Azure OpenAI Service, Anthropic Claude, Google Dialogflow, Microsoft Copilot Studio, LangChain and vector databases. Production work also involves APIs, webhooks, identity, analytics, moderation and cloud deployment.
When expertise matters
Freelance specialists are useful when a proof of concept must become a reliable product, or when an existing bot produces inconsistent answers. They can define intents and conversation flows, select models, connect enterprise data and establish testing before launch. Munich companies may also need collaboration across German and English customer journeys, with remote or on-site work depending on data access and team structure.
Signs you need support
Bring in dedicated expertise when conversations fail at handovers, knowledge is difficult to govern or usage costs are unclear. Other signals include poor answer traceability, missing escalation paths and disconnected CRM or ticketing workflows.
- The assistant gives confident answers without reliable sources
- Business teams cannot update content safely
- Voice, chat and human support follow different processes
- Privacy, access control or audit requirements are unresolved
Strong professionals
Strong Conversational AI professionals combine language-model knowledge with product thinking and software delivery. They test real user journeys, measure answer quality, protect sensitive data and design clear fallbacks to human support. They understand that a successful assistant is not only fluent: it must be useful, observable, maintainable and aligned with the process it supports.
Frequently asked questions
What clients ask us most about Conversational AI — answered in short.
Companies use Conversational AI for customer support, sales assistance, employee help desks, knowledge search and voice interfaces. A specialist can connect the assistant to approved data and business actions such as booking, ticket creation or order lookup.
A Conversational AI system can interpret varied language, preserve context and generate responses, while a traditional chatbot often follows fixed intents and scripted paths. The right choice depends on risk, content variability, integration needs and the level of control required.
A strong Conversational AI specialist may also bring skills in NLP, prompt engineering, retrieval-augmented generation, API integration and cloud services. Experience with data governance, analytics, conversation design and human handover is equally important for production systems.
The required background depends on scope, from a focused FAQ assistant to a voice system connected to sensitive business processes. For production work, choose a Conversational AI professional who can show experience with evaluation, monitoring, security, integrations and controlled releases.
Yes, many Conversational AI projects can be delivered remotely through shared design sessions, repositories and secure environments. On-site collaboration in Munich can help when specialists need direct access to service teams, physical devices or restricted enterprise systems.
A Conversational AI assistant for Munich users should be tested with German terminology, regional phrasing, formal and informal address, and realistic support questions. Teams should also define when English is supported and how the assistant handles unclear requests or transfers to human staff.
Ask how the Conversational AI professional evaluates factual accuracy, source use, safety, latency and successful task completion. Strong specialists explain their test data, failure handling, observability and approach to improving conversations after launch.
Conversational AI works best for repeatable questions and well-defined actions with accessible, current information. Processes involving high-risk decisions, complex exceptions or sensitive data may need strict limits, approval steps and prompt escalation to a human.
The average hourly rate of freelancers in Munich, Germany who have used Conversational AI in their recent projects is 82 €, which corresponds to a daily rate of about 658 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Conversational AI in their recent projects, 86% hold at least a Bachelor's degree and 43% hold at least a Master's degree.
On average, freelancers in Munich, Germany who have used Conversational AI in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 3.4 years.
The most common languages among freelancers in Munich, Germany who have used Conversational AI in their recent projects are German (100%), English (100%), and Spanish (25%).
The most common industries among freelancers in Munich, Germany who have used Conversational AI in their recent projects are Information Technology (100%), Healthcare (50%), and Manufacturing (50%).
The most common business areas among freelancers in Munich, Germany who have used Conversational AI in their recent projects are Product Development (100%), Information Technology (88%), and Business Intelligence (63%).
Main locations of FRATCH Experts, who have recently used Conversational 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 Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg 
Berlin Request a free demo
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Philipp Thomaschewski
FRATCH CEO
