AI Developer with Python for Customer Care AI Platform team (f/m/d)

🗓️ Posted 2026-09-10 Revaler Straße 28-31, 10245 Berlin Hybrid ICT

Company shared salary

NA

Market rate

4,500 EUR–6,500 EUR/mo (54,000 EUR–78,000 EUR/yr)

Based on similar roles (title + domain + location).

About the Company

Bei IONOS arbeitest Du bei dem führenden europäischen Anbieter von Cloud-Infrastruktur, Cloud-Services und Hosting-Dienstleistungen partnerschaftlich mit unterschiedlichen Teams zusammen. Wir bieten Dir eine Perspektive in einer der zukunftssichersten Branchen. Uns zeichnen offene Arbeitsstrukturen, Duz-Kultur und flache Hierarchien mit unvergleichlichem Team-Spirit aus. Wir sind fest davon überzeugt, dass Job und Spaß vereinbar sind und bieten Dir hierfür das entsprechende Umfeld. Bei ständigem Wachstum sind wir stets auf der Suche nach neuen Teammitgliedern. Werde Teil von IONOS und lass uns gemeinsam wachsen. The mission of the team is to build a modern ecosystem used for all IONOS customer support needs, with tools used in over 20 locations by more than 2,000 users, supporting 8 million customer contracts in 10 markets. The development team has full responsibility for the lifecycle, planning, developing, testing, and deploying software without external dependencies. Their portfolio revolves around an internally built CRM now being enhanced with AI capabilities. They are building a next-generation AI platform designed to redefine how the company interacts with customers, a high-performance, multimodal AI ecosystem powered by state-of-the-art Speech-to-Speech models, advanced Large Language Models, and intelligent orchestration frameworks. The platform will understand, reason, and respond across text and voice while executing real-time actions. The goal is a hybrid architecture of Open Source LLMs, proprietary models, and Model Context Protocol (MCP) to enable contextual reasoning and seamless orchestration. What makes this project unique includes the voice frontier with low-latency emotive speech-to-speech pipelines, deep system integration connecting to core systems via MCPs, self-evolving logic with automated QA and evaluation modules that continuously analyze interactions, and hybrid innovation at the intersection of build vs. buy.