Senior AI Data Engineer - Remote Data Pipelines

Speechify Inc.; Polska; Hybrid; PLN 544,000 - 777,000; Full time

Job summary

Speechify Inc. is seeking a Software Engineer - AI Data to join our distributed AI team and build data pipelines powering model training and AI products. You will work across sources, data quality, throughput, and cost to deliver high-quality datasets at scale.

You will collaborate with AI scientists and engineers, take ownership of projects from discovery to implementation, and help advance our next-generation models in a fully remote, international environment.

Qualifications

• Degree in Computer Science or related field or equivalent practical experience.
• 5+ years of professional software engineering experience, strong backend development fundamentals.
• Proficiency in Python and Bash in Linux environments.
• Experience building and operating production systems, ideally with data pipelines or large-scale data processing.
• Strong problem-solving skills and ability to work independently in ambiguous environments.

Responsibilities

• Discover new sources of audio data and build reliable pipelines to bring them into our training datasets.
• Build and improve large-scale data-processing systems, optimizing for data quality, throughput, and cost.
• Collaborate with AI Scientists to improve training datasets and support next-generation models.
• Take ownership of engineering projects from problem discovery through implementation and continuous improvement.

Skills

Python

Bash

Backend

Data pipelines

Education

B.S./M.S. in Computer Science or related

Job description

Speechify Inc. is seeking a Software Engineer - AI Data to join our distributed AI team and build data pipelines powering model training and AI products. You will work across sources, data quality, throughput, and cost to deliver high-quality datasets at scale.

You will collaborate with AI scientists and engineers, take ownership of projects from discovery to implementation, and help advance our next-generation models in a fully remote, international environment.