To support the development of innovative voice AI solutions, the full-time Voice AI Engineer will design, configure, and debug conversational agents for healthcare practices, ensuring seamless go-lives and high-quality performance in a hybrid or remote work environment. Key responsibilities Build and configure agent behavior, including conversation flows, escalation logic, and fallback paths Own go-live processes, scoping agent capabilities and ensuring successful implementation for practices Measure and analyze call quality, developing tests and fixes for agent performance issues Required qualifications Experience building and deploying at least one LLM-powered conversational agent with hands-on involvement in prompts and flow logic Proficiency in using LLM voice platforms or frameworks, such as Vapi, Bland, LiveKit Agents, or Pipecat Strong understanding of REST APIs and webhooks, with the ability to troubleshoot API interactions Ability to write scripts in Python or JavaScript/TypeScript for data analysis and testing Experience designing systematic tests for agent behavior, focusing on automated evaluations rather than manual checks Experience: 2 years required