Real-Time Media AI Engineer

Build and integrate real-time media and AI capabilities into production products Work with real-time audio, video, speech and streaming technologies Integrate AI inference into latency-sensitive applications Improve audio/video synchronization, responsiveness and reliability Build asynchronous pipelines capable of handling load, interruptions and failures Profile AI inference, GPU and media-processing workloads Optimize latency, throughput, memory usage and infrastructure cost Build automated testing, tracing and diagnostics Troubleshoot complex issues across backend, client and media-processing systems

Desired Candidate Profile

Strong experience with: Python Real-time audio/video, streaming or speech systems Asynchronous and concurrent systems APIs and service integration AI/ML inference Performance profiling and optimization Production testing, tracing and diagnostics Experience with technologies or areas such as WebRTC, browser media APIs, GPU inference, speech systems, ML model serving or interactive avatar technologies would be particularly interesting. You don t need to tick every box. We re interested in engineers who are technically curious, enjoy solving difficult performance problems and are comfortable working across different parts of a system to make the overall product work reliably. This is a particularly interesting opportunity for someone who wants to work where real-time engineering meets production AI .