AI Systems Engineer

Job Summary

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