Rasa Experts in Germany
matched in minutes from over 15,000 CVs with the power of AIHire experts who design Rasa assistants, extend Rasa Open Source with custom actions and NLU flows, and tune dialogue handling for real customer journeys. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used Rasa
Collin Kempkes
Last position:
Lead Fullstack Developer at Freelance
- Development of cloud native applications to provide a multi-vendor marketplace for different digital assets (e.g. NFTs)
- Design and operation of a microservice architecture using Nest.js, MySQL, Redis, Hasura, Algolia, Docker and Serverless
- Design and operation of a streaming data architecture using Kafka (with JSON Schemas)
- Creation of CI/CD pipelines with GitHub Actions for automated deployment of applications
- Testing and evaluating new technologies for more stable, faster, safer and more sustainable application development
- Building the full infrastructure with Terraform in AWS
- Integration of Stripe to handle international payments
- Use of Algolia for real-time search of digital assets on the platform
- Presenting results to stakeholders and running internal meetups
- Federation of services with GraphQL and Hasura
- Discussions about architecture decisions in the IT landscape and their impact
- Use of message queues for app-internal communication and component encapsulation
- Advising internal staff on the implementation of business and technical requirements
- Test Driven Development: unit, integration and E2E testing using JUnit
- Use of Next.js/React with SASS/SCSS for frontend applications
- Use of Vue.js with SASS/SCSS for frontend applications
- Integration of security-related mechanisms (JWT tokens with Auth0, OAuth, OIDC, IP guards, BOLA, secret vaults)
- Creation of microfrontends using Retool for fast prototyping and testing of functionality
- Use of nx monorepo with nrwl
Alexander Schulze
Last position:
AI Consultant for AI Voice Bot System at Rudolf Hörmann GmbH & Co.KG
- Consultant for system architecture, AI agents & integration, coach for data & process logic, Graph-RAG approaches, security and data protection.
- On-premise AI solutions with high compliance and performance requirements.
- Architecture decisions, operational setup, strategic prioritization & deployment.
- Technologies: LiveKit JS SDK, LiveKit Agents, Web Audio API, JS, AudioWorklet, Loki, vLLM, Zscaler, Docker, Neo4j, MySQL, Python.
- Models: GPT-OSS 20B, Whisper large v3 turbo, Qwen3-TTS.
Werner Keil
Last position:
Test Coordinator, Designer and Engineer at IBM
- Testing the SekIDP and related components
- Test design, execution and automation, microservices, GitHub Enterprise, Eclipse, Katalon Test Platform, API Testing, Confluence 8, JIRA/Xray, Draw.io, Swagger/OpenAPI, Postman, Docker, Kubernetes, Podman, PuTTY, E-Health, Telematik, Gematik standards, EPA, E-Rezept, sektoraler IDP, encryption, XaDES, PaDES, DICOM, HL7, FHIR, IHE, ICD, SSO, SAML/Shibboleth, OAuth, smartcards, JWT, two factor authentication Android and iOS, Wireshark, BrowserStack, Cypress, gRPC, REST, SOAP, WS-Security, Linux Shell, PowerShell, SSH/SSL, Java, Kotlin, Cordova, Gradle, Groovy, Python, TypeScript
Noushad Hossain
Last position:
Lead Engineer at Cogwheel Analytics
- Lead the software engineering team to develop scalable systems and infrastructure
- Provide architectural guidance, design efficient algorithms, and mentor team members
- Continue responsibilities of software and data engineering in hospitality analytics
- Communicate results and insights to a range of audiences utilizing statistics, machine learning
Ivan Panov
Last position:
Engineering Manager at Commercetools GmbH
- Driving AI transformation of the company
- Scouting for business areas to be improved by AI
- Leading development of AI products
- Driving education of people in AI
- Organizing educational AI events
- Further development of company products
- Team management
- Technical leadership
Jose Minta
Last position:
Conversational AI Full Stack Developer at BOTfriends
- Designed and developed backend systems for conversational AI platforms using TypeScript, Node.js, MongoDB, and BOTfriendsX platform
- Collaborated with product development teams
Discover over 15,000 top freelancers
Statistics of experts using Rasa
Aggregated from the professional profiles of matched freelancers.
Experience
17 years
Position duration
1.7 years
Positions per freelancer
12
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Healthcare, Manufacturing
Certification focus areas
Information Technology, Human Resources, Operations
Bachelor's degree or higher
67%
Master's degree or higher
50%
Certifications per freelancer
1
Most common languages
German, English, Bangla
Speak two or more languages
100%
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 Germany 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 Germany using Rasa
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
Conversational systems
Rasa is used to build chat and voice assistants that need control over intent handling, entities, and conversation flow. Companies choose it when they want a system that fits their own data, logic, and channels instead of a closed assistant product.
What experts deliver
- Rasa Open Source setup and project structure
- NLU training data and intent design
- Stories, rules, and dialogue management
- Custom actions, APIs, and webhook work
- Testing, evaluation, and release support
Ecosystem and stack
Strong specialists know the full Rasa stack, including trackers, forms, slots, and the action server. They often work with Python, REST APIs, Docker, YAML, and message channels such as web chat, WhatsApp, or Messenger. Rasa X still comes up in older projects and migration work.
When companies bring them in
Teams usually need freelance help when a bot is too brittle, training data is messy, or a handover from prototype to production has stalled. In Germany, this often involves internal service assistants, support automation, and multilingual flows that must fit local process and language needs.
What strong specialists look like
Good Rasa professionals do more than label intents. They design clean conversation paths, keep custom code maintainable, and know when a rule, form, or action is the right choice. They also work well with product, support, and backend teams to keep the assistant stable after launch.
Quality signals
Look for clear conversation design, realistic fallback handling, and thoughtful use of confidence thresholds. Strong experts can explain why they chose a certain model, data structure, or action flow. They should also be able to improve the assistant with logs, tests, and measured iteration.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Rasa.
Rasa is used to build assistants that understand user intent, collect structured details, and trigger business actions. It fits customer support, lead qualification, internal help desks, and any flow where conversation logic needs to stay under your control.
Rasa is often chosen when teams want more control over dialogue design, deployment, and data handling. Dialogflow is usually faster for simple setups, while Microsoft Bot Framework fits well in Microsoft-heavy environments; Rasa is stronger when the team wants to own the conversation stack.
A strong Rasa specialist usually knows Python, REST APIs, JSON, and basic backend integration work. Experience with Docker, testing, and conversational UX also helps, because most production issues sit around data quality and system integration, not just model setup.
A simple proof of concept can be started by one solid Rasa expert, but production work needs someone who understands data design, fallback handling, and release discipline. If the assistant must connect to CRM, ticketing, or authentication systems, broader integration experience matters more than raw model tuning.
Most Rasa work can be done remotely because the core tasks are conversation design, training data, and integration review. On-site time in Germany can still help at the start of a project when teams need workshops, stakeholder alignment, or access to internal process knowledge.
Rasa Open Source is the core framework for building assistants with intents, stories, rules, and custom actions. Rasa X was used for testing, conversation review, and iteration in older setups, so many experts still know it from existing projects and migrations.
A good Rasa freelancer can explain the trade-offs in intent design, entity extraction, and fallback strategy without hiding behind jargon. Ask for examples of shipped assistants, how they handled ambiguous user input, and how they kept training data clean over time.
The most common problems in Rasa are weak training data, too many intents, unclear conversation goals, and custom actions that are hard to maintain. Strong specialists fix this by simplifying flows, tightening data quality, and testing the assistant against real user paths.
The average hourly rate of freelancers in Germany who have used Rasa in their recent projects is 77 €, which corresponds to a daily rate of about 618 € based on an 8-hour working day.
Of the freelancers in Germany who have used Rasa in their recent projects, 67% hold at least a Bachelor's degree and 50% hold at least a Master's degree.
On average, freelancers in Germany who have used Rasa in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 1.7 years.
The most common languages among freelancers in Germany who have used Rasa in their recent projects are German (100%), English (100%), and Bangla (17%).
The most common industries among freelancers in Germany who have used Rasa in their recent projects are Information Technology (100%), Healthcare (50%), and Manufacturing (50%).
The most common business areas among freelancers in Germany who have used Rasa in their recent projects are Information Technology (100%), Product Development (100%), and Business Intelligence (67%).
Main locations of FRATCH Experts, who have recently used Rasa
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.
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