InterviewHack.ai

Senior Software Engineer | Language Products | Full-Stack

Deepl · London

Postularme en la empresa
Meet DeepL DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation. Founded in 2017 by CEO Jaroslaw “Jarek” Kutylowski, DeepL now has around 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP, and Index Ventures. Our goal is to become the global leader in trusted, intelligent AI technology, building products that drive better communication, foster connections, and create a meaningful impact. To achieve this, we need talented people like you to join our journey. If you’re ready to shape the future of AI and grow your career in a fast-moving, purpose-driven environment, DeepL is your next destination. What sets us apart What sets us apart is our blend of cutting-edge AI technology, meaningful work, and a culture where people truly thrive. We’re a team of innovators, researchers, and creators driven by a shared purpose to unlock human potential by making work simpler, smarter, and more connected. When we share what it’s like to work at DeepL, the reactions are overwhelmingly positive. This might be because of our technology that helps millions of people and businesses communicate and work better every day, or because of the trust, curiosity, and care that shape our culture. What we know for sure is this: being part of DeepL means joining a team dedicated to innovation, growth, and well-being. Discover more about life at DeepL on LinkedIn , Instagram , and our Blog . Meet the team behind this journey DeepL is not just a translation tool; we are building the Operating System for Global Communication . We are the rare AI company that builds the entire stack in-house: from training next-gen LLMs on our own NVIDIA DGX SuperPODs to delivering real-time Language AI to over 300 million users and 200,000+ businesses globally. You will join the Media Translation team . This is the heart of DeepL. You will be building and expanding our flagship translation products—the core engines that power everything from our consumer web translator to our Enterprise Customization Hub (Glossaries, Translation Memory, and Style Rules) and complex multimedia localization flows. We are shifting gears from "Software-First" to "Product-First." We don't hire engineers just to implement UI tickets or optimize algorithms in isolation. We hire Missionaries who obsess over the user experience and the business impact of their code . You will build the interfaces and backend systems that allow a global enterprise to maintain their brand voice across 100+ languages effortlessly, while keeping the experience simple enough for a casual user. Your responsibilities Own the Core Experience End-to-End: You will architect and build complex, user-facing features across our primary translation products . Whether you are building the UI for the Customization Hub, engineering the backend logic to parse and translate complex document formats (PDF, Word, PowerPoint) without losing formatting, or integrating DeepL directly into enterprise workflows, you own the outcome. Build for "Consumer-Grade" Enterprise: You will solve a unique product challenge: building an interface that feels instant and magical for a B2C user, but is powerful enough to handle the complex, multi-party collaboration and localization workflows required by enterprise teams. Architect for Ambiguity: You will make high-stakes technical decisions regarding state management, API integrations, and performance. You don't wait for perfect requirements; you prototype, measure user friction, and iterate fast . Bridge the Gap: You are bilingual in "Engineering" and "Business." You will collaborate closely with Research, Product, and Design teams to translate complex AI constraints into an intuitive UX

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