AI System Engineer
Core
Design and build the technical foundation for real-time, multimodal AI agents (Superhumans) that communicate via audio, video, and language to drive revenue and customer engagement.
Role type
Senior AI Systems Engineer (Multimodal/Real-time)
Builds
Low-latency, high-reliability systems integrating ASR, LLMs, TTS, and avatar rendering for live human-like interaction.
Domain
AI Infrastructure / Real-time Systems / Multimodal AI
Deliverable
production ML models
Required skills
ML systems engineering, LLMs, ASR, TTS, real-time/streaming systems, concurrent architectures, Python, Kubernetes, automated testing, observability, latency optimization
Preferred skills
Multimodal orchestration frameworks (LangChain, Pipecat, Daily), frontend orchestration logic (TypeScript)
Technologies
Python, Kubernetes, TypeScript, ASR, LLMs, TTS
Responsibilities
Design real-time multimodal pipelines connecting ASR, LLMs, TTS, and avatar rendering; Develop observability layers for metrics and tracing; Build infrastructure management tools for model deployment and scaling; Develop automated tests and evaluation frameworks; Integrate and optimize the full system for low latency and high reliability; Collaborate with product and AI teams to enable Superhuman capabilities.
Seniority
Senior, hands-on IC