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Applied AI Engineer, Voice Agents
Rovrstack
5 hours ago
Full-time
On-site
New York City, New York, United States
At RoVR, we’re on a mission to turn practices into AI-Native, Self-Optimizing Learning Health Clinics. At RoVR, we are building a multimodal, agentic operating system to launch, manage, and scale A-LHCs nationwide. We collaborate with large health organizations as well as local physician groups, modernizing legacy operations to launch these next-generation clinics.
Central to this vision are at RoVR, autonomous agents that orchestrate and optimize clinical, administrative, and patient engagement processes. By alleviating repetitive tasks, RoVRs free providers and admins to focus on proactive decision-making guided by actionable insights, laying the groundwork for a more responsive, outcome-driven healthcare ecosystem.
By uniting clinical and operational intelligence in one cohesive platform, we're building the infrastructure for a Learning Health System that can collaborate with and empower clinicians to redefine the patient experience and transform health outcomes.
Based in the heart of NYC and backed by leading venture capital firms/visionary healthcare leaders, RoVR is on a mission to transform the future of healthcare. We are seeking mission-driven engineers, designers, and operators to join our team and help us build the foundational operating system that will drive medicine for the next century.
Role Overview
As an Applied AI Engineer on Voice Agents, you will build the agents that talk to patients: calling and answering, verifying identity, scheduling, following up on referrals, and handing off to staff when a human is needed. These agents speak with real patients about their care, so the bar is high. You'll own the full loop: real-time speech, conversation design, tool use, evals, and the latency and reliability that make a call feel natural. We are hiring for this role across Senior and Staff levels. What You'll Do
Build and ship voice agents end to end: real-time speech pipelines, turn-taking, interruptions, and call outcomes. Partner with clinics and PMs to define what a great call looks like, and turn it into evals. Optimize performance through prompt engineering, model selection, tool design, and context management. Drive latency and cost down with smart model routing, caching, and streaming. Build observability for calls (transcripts, traces, metrics) with PHI redacted. Stay current on speech and agent models, and bring what works into production. What You Have
5+ years of software engineering experience, with recent hands-on work shipping LLM-powered products. Strong Python, including async, and experience with LLM APIs and agent frameworks. Experience with real-time voice: WebRTC, LiveKit or similar, STT, and TTS. Comfortable using evals to drive quality. Iterative mindset: you build proof of concepts, decide quickly, and ship v0s. Nice to have: telephony (SIP, Twilio), or experience with HIPAA and PHI. RoVR is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
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As an Applied AI Engineer on Voice Agents, you will build the agents that talk to patients: calling and answering, verifying identity, scheduling, following up on referrals, and handing off to staff when a human is needed. These agents speak with real patients about their care, so the bar is high. You'll own the full loop: real-time speech, conversation design, tool use, evals, and the latency and reliability that make a call feel natural. We are hiring for this role across Senior and Staff levels. What You'll Do
Build and ship voice agents end to end: real-time speech pipelines, turn-taking, interruptions, and call outcomes. Partner with clinics and PMs to define what a great call looks like, and turn it into evals. Optimize performance through prompt engineering, model selection, tool design, and context management. Drive latency and cost down with smart model routing, caching, and streaming. Build observability for calls (transcripts, traces, metrics) with PHI redacted. Stay current on speech and agent models, and bring what works into production. What You Have
5+ years of software engineering experience, with recent hands-on work shipping LLM-powered products. Strong Python, including async, and experience with LLM APIs and agent frameworks. Experience with real-time voice: WebRTC, LiveKit or similar, STT, and TTS. Comfortable using evals to drive quality. Iterative mindset: you build proof of concepts, decide quickly, and ship v0s. Nice to have: telephony (SIP, Twilio), or experience with HIPAA and PHI. RoVR is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
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