Write high-quality product or system development code for scalable agentic infrastructure, focusing on performance and reliability in distributed environments.

Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

Contribute to and maintain technical documentation or educational content; adapt materials based on AI product updates and developer feedback.

Triage system issues and debug, track, and resolve issues by analyzing the impact on network performance, service operations, and AI model quality.

Implement solutions in specialized ML areas (e.g., agent orchestration), utilize ML infrastructure, and contribute to model optimization and data processing for generative AI.

Bachelor’s degree in computer science, mathematics, statistics, a related technical field, or equivalent practical experience.

2 years of experience with software development in one or more programming languages (e.g., Python, C++, Java), or 1 year of experience with an advanced degree.

1 year of experience with one or more of the following: speech/audio technology, reinforcement learning, or specialization in another ML field.

1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, and debugging).

Experience in writing unit and integration tests to ensure the accuracy and efficiency of production-level code.