TTS be

RedAI is seeking a talented and motivated TTS BE (Text-to-Speech Backend Engineer) to join our innovative team. As a TTS Backend Engineer at RedAI, you will play a crucial role in developing and optimizing state-of-the-art text-to-speech systems that power seamless voice interactions across our products and services. You will work closely with cross-functional teams including research, frontend, and product to design scalable and efficient backend solutions that support a wide range of languages, voices, and real-time applications. This role offers the opportunity to shape the future of voice technology by leveraging advanced machine learning models and audio processing tools. The ideal candidate is passionate about speech synthesis, algorithms, and backend architecture, and is eager to contribute to a fast-paced, collaborative environment. At RedAI, we value innovation, quality, and continuous learning, offering a stimulating workplace where your expertise can significantly impact the evolution of AI-driven voice technologies. Join us to be a part of our mission to create natural, expressive, and high-fidelity speech synthesis experiences that enhance user engagement globally.

Responsibilities

• Design, develop, and maintain scalable backend systems that support text-to-speech functionalities.
• Collaborate with research scientists to implement and optimize speech synthesis algorithms and models.
• Build APIs and services to integrate TTS capabilities into various applications and platforms.
• Ensure high performance, reliability, and low latency of TTS backend services in production environments.
• Troubleshoot and debug issues related to audio generation and backend processing pipelines.
• Implement monitoring, logging, and alerting solutions to maintain system health and quickly respond to incidents.
• Continuously improve and update TTS backend infrastructure to support new features, languages, and voices.
• Work closely with frontend and product teams to gather requirements and deliver efficient backend solutions.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Strong proficiency in backend programming languages such as Python, Java, or C++.
• Experience with building and deploying scalable backend services and APIs.
• Understanding of speech synthesis technologies, especially text-to-speech systems.
• Familiarity with machine learning frameworks and deployment of ML models in production.
• Experience with cloud platforms like AWS, GCP, or Azure and containerization tools such as Docker and Kubernetes.
• Knowledge of real-time processing, audio signal processing, and performance optimization techniques.
• Strong problem-solving skills and ability to work effectively in a collaborative team environment.