TL;DR

Audio Data Infrastructure Engineer (AI): Design and maintain a scalable data pipeline for transforming raw audio into structured analytics at scale with an accent on database architecture, high-volume ingestion pipelines, and analysis and labeling workflows. Focus on performance, correctness, and fault tolerance across ingestion, processing, and storage layers.

Location: On-site in Berlin, Germany

Company

ai-coustics is building the reliability layer for Voice AI, closing the gap between raw audio input and reliable machine understanding in production.

What you will do

  • 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.
  • Work closely with ML and backend teams to integrate new models and analytics.

Requirements

  • 3+ years of experience in Data Engineering, ML Infrastructure, or Distributed Systems, working on production systems at scale.
  • Deep experience with PostgreSQL at scale, including schema design, partitioning, indexing, and high-throughput bulk loading.
  • Experience building and operating reliable ETL pipelines, using tools such as Airflow, Prefect, Dagster, or custom frameworks.
  • Strong Python engineering skills, including async processing, multiprocessing, and large-scale batch workflows.
  • Experience processing very large datasets, on the order of hundreds of millions of rows or TB-scale files, with efficient storage and access patterns.
  • Practical familiarity with audio data as a modality, including common processing tools (e.g. FFmpeg) and an understanding of how audio artifacts and preprocessing choices affect downstream analysis.

Nice to have

  • A startup mindset: You’re comfortable with ambiguity, take ownership of complex systems, and make pragmatic decisions in a fast-moving, product-driven environment. Prior startup or similarly dynamic experience is a strong plus.

Culture & Benefits

  • Opportunity to work at a rapidly growing Voice AI startup, backed by top investors.
  • Compensation and equity: Competitive salary package, additional benefits and stock options, enabling you to take part in the company’s success.
  • Dynamic, fast-paced environment with passionate and collaborative colleagues.
  • Ownership & Autonomy: Take full ownership of projects and ship fast.
  • Work With the Best: World-class team of engineers and builders with ample room for professional growth.
  • Contribute to the Future: Define the landscape of Voice AI technology.