Software Engineer, AI Data - Sofia, Bulgaria

Role overview Build the data systems that support AI model training and new audio-focused products. The work combines backend engineering, data infrastructure, and collaboration with research teams to create high-quality datasets at very large scale while managing processing cost and efficiency.

Responsibilities - Find audio data sources and develop dependable pipelines to bring that material into training datasets. - Build and refine large-scale processing systems, improving data quality, throughput, and cost efficiency. - Work with AI researchers to strengthen datasets and support the development of new models. - Lead projects from identifying a problem through implementation and ongoing improvement.

Requirements - At least five years of professional software engineering experience and strong backend fundamentals. - Proficiency in Python and Bash in Linux environments. - Experience building and operating production systems; data pipelines or large-scale processing experience is especially relevant. - A computer science or related degree, or equivalent practical experience. - Strong problem-solving skills, initiative, and ability to work independently through ambiguity.

Nice to have - Experience with web crawling, data acquisition, or distributed processing. - Familiarity with cloud infrastructure and infrastructure as code, particularly GCP and Terraform. - Knowledge of machine-learning datasets, data quality, or audio processing.

Benefits and work setup The role offers autonomy and an asynchronous work culture, with the opportunity to contribute to products at the intersection of AI and audio. For candidates based in Bulgaria, the listed compensation is USD 30,000–55,000 per year, plus bonus and stock, depending on experience.