Job description

For our innovative subsidiary Thoesch, which is shaping the digital guest communication of tomorrow with its voice-first guest experience platform, we are looking for a  full-stack developer (m/f/d) with a focus on API integration, AI/LLM and GUI as soon as possible .

Your tasks:

You will be responsible for key development areas outside of actual voice skill development – ​​from API and system integration to the further development of our user interfaces and the integration of modern AI and LLM technologies.

• Conception, development and further development of proprietary REST APIs as well as integration of heterogeneous third-party systems (PMS, booking/eCommerce tools, destination data sources)
• Further development of RoomGrid's GUI/frontend components (dashboard, content manager, device manager, etc.) in JavaScript/TypeScript
• Practical integration and further development of AI technologies: LLMs, RAG, embeddings and vector stores for contextual, AI-powered applications
• Ideally, AI-supported tools/interfaces should be integrated via the Model Context Protocol (MCP).
• Contributing to backend, databases and Docker/CI-CD infrastructure as needed.
• Close collaboration with the founding team

Our architecture

RoomGrid is the central orchestration layer of our platform and connects multiple system worlds via APIs:

• Hotel property management and backend systems (PMS connectivity)
• Voice-enabled devices from major ecosystems: Amazon Alexa, Google, Samsung, Apple
• Destination data (events, attractions, POIs) for contextual answers
• E-commerce, reservation and other external provider interfaces
• Internal modules: Voice Content Manager, Campaign Scheduler, Device Manager, Ticket System, Dashboard & Analytics

For the AI-powered, contextual, real-time responses of our voice assistant, we rely on LLM, RAG, and embedding/vector store technologies—while strictly adhering to data privacy regulations: No conversations are recorded, and no personal or financial data is stored. In the current scaling phase (2026–2028), we are also building our own hardware and hosting infrastructure.

Qualifications

You should bring this with you

• Experience in integrating heterogeneous systems via REST APIs, as well as in developing and further developing custom APIs. Proficient in using JSON, HTTP, authentication methods, and API documentation.
• Solid knowledge of JavaScript/TypeScript and experience in GUI development
• Practical experience in the integration of AI technologies, especially Large Language Models (LLMs), RAG, embeddings and vector stores.