Bilingual Computational Linguist (English & Spanish)

Software Engineer focused on data infrastructure and acquisition for Speechify. Responsible for building and scaling data pipelines that ingest and process content for the text-to-speech platform. Requires experience with distributed data systems and ETL workflows.

Software Engineer focused on data infrastructure and acquisition for Speechify. Responsible for building and scaling data pipelines that ingest and process content for the text-to-speech platform. Requires experience with distributed data systems and ETL workflows.

This is a Software Engineer, Platform role based in San José, Costa Rica. The description is minimal, providing only the title and location, with no specific responsibilities, technologies, or requirements detailed. The role likely involves building and maintaining core platform infrastructure for Speechify's text-to-speech products.

This role is for a Software Engineer focused on platform development at Speechify, based in Córdoba, Argentina. The position involves building and maintaining core platform infrastructure to support Speechify's text-to-speech and productivity applications. Specific technologies and responsibilities are not detailed in the provided description.

This role is a senior client-facing position responsible for driving AI consulting engagements within the Energy, Oil & Gas sector. The Client Principal will lead business development efforts, build executive relationships, and oversee the delivery of AI transformation projects. This role requires deep industry domain expertise and a track record of selling complex consulting services.

This role involves deploying and integrating AI solutions directly at client sites, bridging the gap between product and customer needs. The engineer will work with APIs, cloud infrastructure, and computer vision models to ensure successful implementation and customization.

This Senior Site Reliability Engineer role is responsible for ensuring the reliability, scalability, and performance of cloud infrastructure and production systems. The engineer will implement automation for deployment, monitoring, and incident response, while driving improvements in system architecture and operational efficiency. Key focus areas include SLO/SLI management, capacity planning, and building robust CI/CD pipelines.