Rasa Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Rasa
Collin K.
Last position:
Software Architect / Fullstack Developer at Equity Bytes
Built an international e-commerce platform for a multi-vendor marketplace for digital assets from scratch. Designed and operated cloud native architectures at enterprise scale.
- Designed and operated a highly scalable microservice and serverless architecture
- Built the complete cloud infrastructure with Terraform + AWS CDK in AWS
- Provisioned ECS/EKS clusters (Fargate), Application Load Balancers (reverse proxy), and Lambda functions
- Observability & tracing with CloudWatch, DataDog, Prometheus, and Grafana
- End-to-end setup with DataDog (formerly AWS CloudWatch), Prometheus, and custom Grafana dashboards
- Integration of advanced metrics (including ORM mapper) and distributed tracing with Jaeger
- Robust backup and disaster recovery strategies
- RDS Postgres backups and hourly snapshots
- Read-only, asynchronously synchronized replicas with automated master failover in emergencies
- Minute-level rollback capability through versioned Docker images on ECS and Git-based CI/CD pipelines
- Created CI/CD pipelines with GitHub Actions for automated multi-stage deployments (Dev, Testing, Prod)
- Integrated Stripe for international payment processing
- Built a marketplace payment system with multiple parties and payout routines
- Used Algolia for high-performance real-time search of digital assets on the platform
- Federation of services with GraphQL and Hasura
- Later migration to GraphQL Mesh
- Test Driven Development (TDD) - unit, integration, and E2E testing with Jest, Vitest, and Playwright
- Used Next.js / React for modern frontend applications in the nx monorepo
- Enterprise security architecture & access control
- Integration of JWT tokens with Auth0, OAuth, OIDC, IP guards, BOLA protection, and secret vaults
- Authorization concepts with RBAC, ABAC, and native Postgres Row-Level Security (RLS)
- Built internal microfrontends with Retool for fast prototyping and operational business processes
Technologies: ABAC, AWS CDK, AWS CloudWatch, AWS ECS, AWS EKS, AWS Fargate, AWS RDS, AWS S3, Algolia, Auth0, DataDog, Docker, GitHub Actions, Grafana, GraphQL, GraphQL Mesh, Hasura, JWT, Jaeger, Java, JavaScript, Jest, Kotlin, Kubernetes, Monorepo, Next.js, OIDC, Playwright, Postgres, Postgres RLS, Prometheus, RBAC, Redis, Retool, Serverless, Stripe, Terraform, TypeScript, Vitest
Alexander S.
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 K.
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
Andreas E.
Last position:
Consultant at Iteratec GmbH
Noushad H.
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 P.
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 M.
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
19 years
Position duration
2.2 years
Positions per freelancer
11
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Healthcare, Professional Services
Certification focus areas
Information Technology, Human Resources, Marketing
Bachelor's degree or higher
71%
Master's degree or higher
57%
Certifications per freelancer
1
Most common languages
German, English, Bangla
Speak two or more languages
100%
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 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Rasa 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 (57%)
- Professional Services (57%)
- Education (43%)
- Energy (43%)
- Transportation (43%)
- Manufacturing (43%)
- Advertising (29%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Rasa does
Rasa is an open-source framework for building conversational assistants. It helps companies create chatbots and voice assistants that understand intent, manage dialogue, and trigger actions in business systems.
Where it fits
- Customer support bots and service triage
- Internal assistants for HR, IT, and operations
- Booking, intake, and lead qualification flows
- Multichannel assistants for web, apps, and messaging
Core ecosystem
Strong Rasa work usually includes Rasa Open Source, Rasa SDK, custom actions, stories, rules, and NLU pipelines. Experts also work with Python, REST APIs, webhooks, and the tools used to test and track conversational behavior.
When companies bring in help
Teams often need freelance support when a bot needs better intent handling, cleaner dialogue design, or integration with live systems. In Germany, this is common when local teams need English and German conversation flows, or when an existing assistant must be stabilized after launch.
What strong specialists deliver
A capable Rasa professional writes clear conversation paths, reduces fallback errors, and connects the assistant to real business data. They also document training data, edge cases, and handover steps so the system can be maintained by the team.
Signs you need Rasa expertise
- Intent detection is inconsistent
- The assistant cannot call external systems cleanly
- Conversation flows are hard to maintain
- Training data needs structure and cleanup
- The bot must support multiple languages or domains
Frequently asked questions
The facts hiring teams ask for most often when it comes to Rasa.
Rasa is used to build conversational assistants that can understand user intent, manage dialogue, and take action through backend systems. Companies use it for support automation, internal service requests, and guided workflows where a simple FAQ bot is not enough.
Rasa is often chosen when a team wants more control over conversation logic, data, and deployment than a managed chatbot product offers. Compared with many low-code tools, it gives specialists more freedom to design custom dialogue behavior and connect to internal APIs.
A strong Rasa specialist usually also knows Python, API integration, conversation design, and data labeling for intents and entities. Experience with testing, logging, and maintaining training data is just as important as model setup.
A small proof of concept may need one experienced Rasa professional, while a production assistant usually needs someone who has shipped and maintained similar systems before. The more complex the dialogue, integrations, or multilingual setup, the more important practical experience becomes.
Yes, most Rasa work can be done remotely, especially model tuning, dialogue design, and API integration. On-site time can still help at the start if stakeholders need workshop sessions, domain reviews, or faster access to local business knowledge in Germany.
A strong Rasa expert asks about user journeys, failure cases, handoff rules, and the systems the assistant must connect to. They also explain why certain intents, entities, or stories are needed instead of simply adding more training data.
Rasa can work well for multilingual assistants when the conversation design and training data are planned carefully. The specialist should separate language-specific content from shared logic so the assistant stays maintainable as the project grows.
With an existing Rasa setup, freelancers often review intent quality, fix broken dialogue paths, improve custom actions, and clean up training data. They may also document the current architecture so the team can keep extending it without breaking core flows.
The average hourly rate of freelancers in Germany who have used Rasa in their recent projects is 80 €, which corresponds to a daily rate of about 638 € based on an 8-hour working day.
Of the freelancers in Germany who have used Rasa in their recent projects, 71% hold at least a Bachelor's degree and 57% hold at least a Master's degree.
On average, freelancers in Germany who have used Rasa in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Germany who have used Rasa in their recent projects are German (100%), English (100%), and Bangla (14%).
The most common industries among freelancers in Germany who have used Rasa in their recent projects are Information Technology (100%), Healthcare (57%), and Professional Services (57%).
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 Project Management (71%).
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.
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
