Tavus is a research-heavy organization building generative video and conversational AI models—the stack is PyTorch + Node.js + React Native, with heavy lifting on GPU infrastructure and RAG systems. The hiring mix (research nearly matches engineering, senior roles dominate) reflects a company still in productization phase, moving research-lab outputs toward production systems. Current friction points—data labeling, video structuring, preventing production issues, faster customer integration—signal the tension between cutting-edge model development and operational maturity at scale.
Tavus builds AI avatar technology for real-time conversational interactions. The product synthesizes audio, video, and language models to create simulated human agents capable of natural dialogue in multiple languages. The company operates as a research lab with parallel engineering effort; the active project list (neural avatars, scalable motion language, agentic systems, multimodal model integration) shows focus on both core model research and production infrastructure. Founded in 2020 and based in San Francisco with 51–200 employees, the organization is hiring across engineering and research roles in the United States and United Kingdom.
Tavus builds on PyTorch for model development, Node.js and React Native for application layers, and RAG (retrieval-augmented generation) for memory and contextual response. Infrastructure runs on AWS/GCP with Kubernetes orchestration and GPU extensions for inference.
Tavus is developing generative video models, conversational avatar systems, scalable motion synthesis, and agentic systems (task scheduling, memory, async job handling). Current focus includes productionizing research outputs and extending GPU infrastructure for inference scaling.
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