Jobs at LiveKit

Build post-training infrastructure for voice and text agents, including training environments, verifiers, synthetic data pipelines, evaluations, and model release gates. Run end-to-end training experiments, select open-weight models, improve tool-using and multi-turn behavior, deploy models to production, and iterate using real-world usage. The role emphasizes Python engineering, reinforcement learning, GPU-based training, data quality, reward design, and production machine learning.

As a Senior Product Engineer, you'll build user-facing products on the LiveKit platform in TypeScript and Go while engaging with developers and contributing to strategic decisions.

The role involves designing and evolving core systems at LiveKit, implementing resilient architectures, and building tools to enhance system reliability and developer speed. Strong distributed systems experience and programming skills are essential.

Design and develop functionalities for the Agents framework, iterate on feedback, and create documentation while working with various programming languages.

Design, implement, and operate low-latency, highly available distributed control, data, and observability systems. Build region-spanning architectures, libraries, protocols, and tooling; diagnose and harden critical paths using metrics, tracing, testing, and real traffic; and shape platform capabilities around identity, scheduling, observability, and distributed state management.

Work directly with developers to triage and fix bugs, write sample and production-quality code, update docs, support community technical issues, meet with customers to ensure success, and partner with Sales/BD/Partnerships to drive integrations and adoption.

Partner with customer engineering teams to design, prototype, and deploy real-time audio, video, and voice AI applications on LiveKit. Build integrations and reference implementations, debug production systems, lead technical workshops, and translate customer needs into product and platform improvements.