Job Description
ai-coustics is building the reliability layer for Voice AI , the system that closes the gap between raw audio input and reliable machine understanding in production. By combining state-of-the-art speech and audio research with real-time, production-grade SDKs, we test, observe, and enable Voice AI systems to work in any environment. Our software is used by fast-growing Voice AI companies across Europe and the United States whose products require reliable performance at scale: call center agents, voice agents, telephony apps, and enterprise voice assistants. We believe voice will become the main interface for technology and ai-coustics is building the foundational infrastructure to make audio input reliable, measurable, and easy to deploy. We are backed by leading early-stage investors including Connect Ventures, Partech, Inovia Capital , as well as angel investors from HuggingFace , DeepMind and Amazon with deep expertise in AI and developer infrastructure. These partners share our vision and are helping us build a world-class team operating with high levels of responsibility and velocity . We look for people who take ownership, think systemically, and want to solve challenging real-world problems in close collaboration with our customers. If you're motivated by developing technology that is used in practice, shaping an emerging category and setting a new standard for how voice AI works in the real world, you'll feel at home at ai-coustics. Role Overview ai-coustics is seeking a Systems Software Engineer to join our Systems team , working at the core of our real-time Audio AI SDK and inference infrastructure. In this role, you will help maintain, optimize, and expand the SDK that powers ai-coustics' speech enhancement and Voice AI products across a wide range of platforms, runtimes, and languages. You will work primarily on our Rust-based inference and systems codebase , which underpins the Airten real-time inference engine , DSP modules, telemetry, model execution
