You will join a specialized cross-functional team focused on pushing the boundaries of speech intelligence. By developing robust software solutions and integrating advanced models into client-facing products, you will help bridge the gap between complex engineering and user-centric applications, ensuring high performance across diverse linguistic and vocal datasets at scale.
Software Engineer at innovative voice technology AI startup
Are you ready to build the future of voice intelligence? We are looking for a Software Engineer to join a well-funded AI startup in London that is revolutionizing how machines understand human speech. You will work on high-scale distributed systems and collaborate with world-class researchers to bring cutting-edge machine learning models to production. If you are passionate about clean code, scalable architecture, and the intersection of AI and software engineering, this is the perfect opportunity to make a massive impact in a rapidly growing field.
About this role
Role overview
About the company
About the company
Innovative voice technology AI startup
What you'll do
What you will do
- Build and maintain scalable APIs and backend services to support next-generation audio processing features.
- Collaborate with product and research teams to integrate state-of-the-art machine learning models into production environments.
- Optimize system performance to ensure low-latency delivery of voice intelligence services to enterprise clients.
Who you are
Who this is a fit for
- Strong proficiency in modern programming languages such as Python, Golang, or TypeScript.
- Experience building and deploying distributed systems within cloud-native environments (AWS, GCP, or Azure).
- A passion for working in a fast-paced environment where software engineering meets advanced artificial intelligence.
Why this role
Why this role is remarkable
- Work at the intersection of machine learning and scalable backend engineering within a high-growth sector.
- Join a well-funded organization backed by top-tier VCs that is leading the way in global speech recognition.
- Tackle unique technical challenges involving real-time data processing and high-accuracy automation across multiple languages.
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