Senior AI Engineer — Voice Systems

About this role

The company pairs Medicare beneficiaries with a dedicated healthcare advocate who navigates appointments, insurance, and care coordination on their behalf. Customers get the support of caring nurses while AI agents do the tedious backend work, all covered by Medicare. Today, 24/7 personalized health assistance is only available to the rich or extremely sick. Our vision is for everyone to be able to afford a health assistant who knows your health history deeply, navigates the healthcare system on your behalf, and propels you to become the healthiest version of yourself. Founded in 2025, backed by leading venture capital firms and top Silicon Valley angel investors. 9 employees, $6.5M total funding.

Responsibilities

• Automate tasks healthcare advocates currently do manually, including outbound voice calls to insurance, doctors, pharmacies, and patients
• Build and improve agentic search and multi-agent orchestration systems that coordinate across complex healthcare workflows
• Design evaluation infrastructure to measure and improve the quality of AI automations so advocates increasingly rely on them
• Implement reinforcement learning loops that use real nurse actions to train and improve models over time
• Ship fast and iterate directly with the team that listens to real conversations daily

Requirements

• 1-10 years of experience in AI/ML engineering, building systems including voice AI
• Has shipped voice AI and agentic/LLM-powered systems to production (not demos)
• Production voice AI stack: streaming STT/TTS, telephony, latency optimization, endpointing
• Agentic systems: context engineering, multi-agent orchestration, tool use, RAG
• Built evaluation pipelines for voice systems - metrics, regression suites, production signal
• Experience as a founder or from a stalling later-stage company, or Big Tech with prior startup experience
• Rapid learner who thrives in ambiguity - builds the playbook rather than following one
• Willing to relocate to SF in Q...