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LiveKit is seeking an experienced Software Engineer to join the Agents team and help build the infrastructure layer for the agentic era of computing. You'll work on core abstractions and infrastructure that developers use to build, test, deploy, scale, and observe AI agents in production.
In this role, you'll design and develop core functionality for the LiveKit Agents framework, a platform powering voice and agentic AI applications for companies like OpenAI, Salesforce, Spotify, and Meta. Key responsibilities include:
- Design and develop core functionality for the LiveKit Agents framework, working primarily with Python and TypeScript
- Help define the text modality of the framework, enabling agents to interact with users across channels such as SMS
- Design abstractions for stateful and durable agentic workflows, allowing agents to maintain state and coordinate work across interactions spanning minutes, hours, or longer
- Shape agent-to-agent communication and delegation patterns, enabling voice agents to hand off tasks, collaborate, and compose into more sophisticated systems
- Build simple, powerful developer APIs over complex distributed and real-time systems
- Iterate quickly based on feedback from the developer community
- Write clear documentation, examples, and reference implementations
You should have significant experience building LLM-based applications and agentic systems, with strong skills in navigating complex systems and turning complexity into clean abstractions. You're comfortable reasoning about state, concurrency, and asynchronous workflows, and you're product-minded with excitement about designing APIs and developer experiences. Experience building developer tools, frameworks, or SDKs is a plus. You should be interested in exploring emerging patterns in agent architecture rather than simply applying established ones, and comfortable working collaboratively in a remote environment.
