2 months ago
Base Salary
$170k - $250k/yr
Responsibilities
- Work directly with customer engineering teams remotely or on-site when necessary to design and implement real-time applications built on LiveKit.
- Design scalable architectures for voice AI, real-time media, and developer platform use cases.
- Build prototype integrations, reference implementations, and sample applications.
- Help customers navigate SDKs, APIs, infrastructure, and deployment strategies for production systems.
- Debug and troubleshoot complex technical issues in production environments.
- Lead technical workshops and architecture sessions with developers and product teams.
- Translate customer needs into technical insights for product and platform development.
- Partner with Product and Engineering to improve developer experience, documentation, and tooling.
- Contribute code, examples, or improvements to LiveKit’s open-source ecosystem.
- Advise customers through successful application launches and scaling on LiveKit.
Requirements
- At least 5 years of backend or infrastructure engineering experience.
- Proficiency in one or more of Go, Python, Node, Rust, or C++.
- Experience working across APIs, SDKs, distributed systems, and cloud infrastructure.
- Experience building or integrating developer platforms or real-time systems.
- Ability to understand complex systems quickly and debug issues in real-world production environments.
- Strong communication and collaboration skills with customer engineering, product, and internal engineering teams.
- Experience with WebRTC, real-time media systems, telephony/SIP infrastructure, voice AI, conversational agents, AI infrastructure, customer-facing engineering, open-source projects, or LiveKit is preferred.
Benefits
- Competitive salary and equity package
- Health, dental, and vision benefits
- Flexible vacation policy
- Remote work with on-site customer work when necessary
- Opportunity to contribute to open source alongside world-class engineers
About LiveKit
LiveKit offers open source frameworks and a cloud platform for building voice, video, and physical AI agents.
