Senior Software Engineer (Agentic Systems)

About the role About Us Tavus is a research lab pioneering human computing. We’re building AI Humans: a new interface that closes the gap between people and machines, free from the friction of today’s systems. Our real-time human simulation models let machines see, hear, respond, and even look real—enabling meaningful, face-to-face conversations. AI Humans combine the emotional intelligence of humans with the reach and reliability of machines, making them capable, trusted agents available 24/7, in every language, on our terms. Imagine a therapist anyone can afford. A personal trainer that adapts to your schedule. A fleet of medical assistants that can give every patient the attention they need. With Tavus, individuals, enterprises, and developers can all build AI Humans to connect, understand, and act with empathy at scale. We’re a Series A company backed by world-class investors including Sequoia Capital, Y Combinator, and Scale Venture Partners. Be part of shaping a future where humans and machines truly understand each other. The Role We're hiring a Senior Software Engineer (Agentic Systems) to be a technical driver on the Tavus Conversational Video Interface (CVI) product. This is a very hands-on role focused primarily on adding agentic capabilities to our Replicas. This isn't your first rodeo - you've tackled ambiguous problems head on, you have strong opinions about architecture and interface design, and you know how to ship polished, reliable software. You'll work closely with product, and engineering leadership to build the future of human-computer interfaces, fast. Your Mission 🚀 Jump into our existing CVI codebase and own the development and delivery of new agentic systems and features (ex: RAG, Memories, MCP, Async task management, job scheduling) Help shape the future for how users interact with our real-time systems by partnering closely with our Research and Conversational Video Interface teams. Contribute across the full product stack as neede Requirements You are fluent in Python and have great knowledge of open-source agent frameworks You have deep experience building complex production-grade LLM-based agentic systems You're comfortable out of your normal comfort zone and are willing to learn on the fly You thrive in an ambiguous and fast changing space. The state of the art changes on a dime and you react fast You bring a senior mindset: you set direction, own decisions, and get things over the finish line You communicate the complex with incredible clarity and leverage your communication abilities to teach others Additionally, having some of the following experiences may help you be successful in this position: Experience with GPU management Extensive experience with low level systems Experience with decentralized systems