- Work at the forefront of technology: Help build industry-leading performance analysis agents and redefine the paradigm of performance optimization in the live streaming domain.
- Create real business impact: Your work will be applied to one of the world’s largest live streaming platforms, solving complex, high-impact technical challenges.
- Unlock significant growth opportunities: Grow in a fast-moving, innovation-driven global team, and collaborate with top talent worldwide.
We believe the best talent is driven to solve the most important problems using cutting-edge technologies. If you are passionate about AI, performance optimization, and delivering exceptional user experiences, we look forward to building a smoother and smarter LIVE future with you. Core Responsibilities As a core member of the team, you will be deeply involved in the design, R&D, and platform implementation of the Performance Analysis Agent, transforming cutting-edge AI technologies into a powerful engine that drives business growth.
- Design and develop the core capabilities of the Performance Analysis Agent
Lead or contribute to developing AI-powered capabilities for the performance analysis workflow, including but not limited to:
- Automatic Data Inspection and Attribution: Real-time monitoring, anomaly detection, and minute-level automated attribution of massive performance metrics.
- Automation of Experimental Analysis: Automatically generate scientific and rigorous A/B experiment reports to improve decision-making efficiency and quality.
- Thematic Analysis Assistance: Provide AI support for complex performance topics (e.g., power consumption, smoothness, loading speed) and produce in-depth insights at scale.
- Shift-Left Code Performance Review: Integrate AI into the Code Review (CR) phase to automatically detect performance risks, identify issues early, and address them at the source.
- Build and evolve the Agent platform and services
Contribute to the development and evolution of the team’s Agent platform, upgrading traditional APIs to a more powerful and flexible MCP (Model-Controller-Proxy) service framework. Strengthen the data and tooling foundation to enhance overall scalability, reusability, and reliability.
- Continuously improve Agent core performance
Leverage industry-leading technologies to enhance the Agent’s accuracy and efficiency in understanding, retrieval, decision-making, and response, including:
- Prompt Engineering and Chain of Thought (CoT): Design and optimize prompts to fully unleash large model capabilities.
- Retrieval-Augmented Generation (RAG): Combine with high-quality knowledge bases to improve accuracy and timeliness of responses.
- Function Calling: Extend the Agent’s ability to interact with external tools and data sources.
- Memory Mechanism and Evaluation Iteration: Enable the Agent to learn and iterate while establishing a robust, scientific evaluation system.
- Drive the AI value closed loop
Deeply understand live streaming business and technical pain points, identify opportunities for AI-driven innovation, and work closely with business, product, and R&D teams to turn AI solutions into measurable outcomes—improving R&D efficiency, service quality, and user experience metrics.