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Текст:
TL;DR
Full Stack Engineer (AI): Building DeepL Voice's real-time interpretation product across React and TypeScript interfaces, Node.js/TypeScript backend services, streaming audio architecture, and AI inference integration with an accent on low-latency communication and seamless user experiences. Focus on solving transcript flicker, audio glitches, unstable network conditions, and sub-second latency challenges while shipping end-to-end features in a cross-functional squad.
Location: London, United Kingdom; hybrid work with office attendance twice a week
Company
DeepL is an AI product and research company building Language AI solutions for translation, writing assistance, and real-time voice interpretation.
What you will do
- Build and deploy end-to-end features for DeepL Voice across frontend, backend, streaming audio, and AI inference layers.
- Develop polished user interfaces with React and TypeScript.
- Ship backend services with Node.js and TypeScript or a strongly transferable language.
- Design and improve real-time communication systems using WebRTC, WebSockets, and streaming architectures.
- Debug latency spikes, transcript flicker, audio glitches, and failures caused by unstable networks.
- Collaborate with Product Managers, Product Designers, and AI Researchers in a cross-functional squad.
Requirements
- Full-stack engineering experience across modern frontend and backend systems.
- Strong React and TypeScript skills, with backend experience in Node.js/TypeScript or a transferable language.
- Experience with real-time systems, WebRTC, WebSockets, streaming architectures, or latency-sensitive applications.
- Ability to build, prototype, refactor, and scale features in a 0-to-1 environment.
- Product-first mindset with attention to conversation flow, customer value, reliability, and performance.
- Ability to work in a hybrid setup in London, including office attendance twice a week.
Nice to have
- Experience building AI-powered products or integrating AI inference systems.
- Experience using AI-powered development tools such as GitHub Copilot or Claude.
Culture & Benefits
- Internationally distributed workforce representing more than 90 nationalities.
- Flexible working hours with a hybrid schedule and regular in-person team events.
- Virtual Shares for every employee.
- Monthly full-day Hack Fridays for independent projects and cross-team collaboration.
- 30 days of annual leave excluding public holidays, mental health resources, and location-tailored benefits.
Hiring process
- DeepL uses a unified engineering pipeline and hires for the company rather than only for one specific team.
- Successful candidates may be matched with roles in Core Product, Platform, Voice, or Enterprise according to their skills and business priorities.
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