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Deepslate

Real-time European speech-to-speech AI platform

Frontend Engineer

Frontend EngineeringConfirmed live in the last 24 hours
Full-time€50k - €70k /yr

About the Job

Requirements

  • Solid professional experience with TypeScript and React.
  • Readiness and ability to take complete ownership of a modern front-end stack, such as Next.js or similar frameworks.
  • Comfort navigating an early-stage codebase, including inconsistent structures and missing documentation.

Responsibilities

  • Architect and own the modern front-end stack from the ground up using TypeScript and React, such as Next.js.
  • Build responsive, accessible user interfaces that handle complex data and real-time interactions without dropping frames.
  • Write clean, consistent code; implement advanced state management, optimize bundle sizes, and improve load times.
  • Troubleshoot and resolve live client-side issues, and build unit, integration, and end-to-end testing systems to prevent UI regressions.
  • Design and build internal component libraries and streamline front-end continuous integration and continuous delivery pipelines.
  • Build scalable, modular front-end architectures that support rapid iteration and low maintenance overhead.
  • Implement client-side logging and performance monitoring to improve user experience and error tracing.
  • Shape the product, architect solutions, and take ownership of projects.

Desired Qualifications

  • Previous experience in a fast-paced startup or deep-tech environment.
  • Experience with WebSockets, WebRTC, or handling real-time audio streams or data in the browser.
  • A strong eye for user interface and user experience design, and experience translating designs from tools such as Figma into code.
  • Fluent spoken and written German.

About the Company

Deepslate

Real-time European speech-to-speech AI platform

Deepslate provides an enterprise European voice AI platform that runs ultra-realistic speech-to-speech models for real-time conversations, including inbound and outbound calls and human‑machine interactions. It combines text-based reasoning from large language models with fast speech-to-speech processing, delivering about 440 ms latency across 27 languages and integrating with tools like calendars and CRMs to perform real-time tasks. The company emphasizes a European, GDPR-friendly approach with self-hosting or EU-based hosting, aiming for production-ready infrastructure rather than prototypes and highlighting data protection as a differentiator. Its goal is to help businesses build and deploy natural, real-time voice agents while meeting European privacy standards.

Company size
11-50
Company stage
Seed
Total funding
$8.5M
Headquarters
Templin, Germany
Founded
2023

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