AI Systems Engineer

To design and build the technical foundation for real-time multimodal AI beings, the full-time AI Systems Engineer will work remotely to develop pipelines, infrastructure, and orchestration layers that enable responsive and reliable interactions. Key responsibilities Design and build real-time multimodal pipelines connecting ASR, LLMs, TTS, and avatar rendering into cohesive experiences Develop the observability layer for the pipeline, including metrics, tracing, and performance instrumentation for end-to-end visibility Collaborate with product and AI teams to enable Superhumans to drive presentations and share information effectively Required qualifications Experience in ML systems or applied AI, particularly in LLMs, ASR, or TTS pipelines Strong background in real-time or streaming systems and concurrent architectures Proven ability to productionize AI models, serving, scaling, and monitoring them in live environments Proficiency in Python; experience deploying systems on Kubernetes or similar orchestration frameworks Familiarity with TypeScript for frontend or orchestration logic