Audio Data Infrastructure Engineer

About us

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 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

We’re looking for an Audio Data Infrastructure Engineer to design and maintain a robust, scalable data pipeline that transforms raw audio from diverse sources into structured analytics at scale .

In this role, you’ll own the database architecture, high-volume ingestion pipelines, and analysis and labeling workflows that process many terabytes of audio. This includes ingesting raw audio, running large-scale ML- and DSP-based analysis , and storing the resulting metadata and analytics efficiently in a large PostgreSQL database .

Your work underpins our training, evaluation, and analysis workflows , and requires careful attention to performance, correctness, and fault tolerance across ingestion, processing, and storage layers. The role is on-site in Berlin .

Tasks

• Architect and maintain a large-scale PostgreSQL database optimized for analytical workloads.
• Design scalable ingestion pipelines for audio data from many sources.
• Build distributed compute pipelines for ML inference on audio frames.
• Design and maintain efficient metadata storage for audio, frames, statistics, and analysis results.
• Optimize ETL / ELT pipelines for performance, reliability, and scalability.
• Ensure idempotent, fault-tolerant workflows across ingestion and analysis.
• Work closely with ML and backend teams to integrate new models and analytics.

Requirements

Benefits

If you are ready to lead the charge in revolutionizing Voice AI and drive our startup to new heights, we would love to hear from you. Apply today to join the ai-coustics team!

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.