Manhattan, NY · On-site · Full-time Compensation: $200,000–$300,000 + 0.25%–1% equity
The Role
Build and own the company's voice AI agent infrastructure end-to-end on LiveKit — the orchestration layer, the prompting strategy across millions of consumer interactions, and continuous performance improvement through rigorous testing and iteration. This role suits either a deep voice AI engineer or a strong, analytical, business-minded infrastructure engineer.
What you'll be doing
- Build the voice AI infrastructure on LiveKit from the ground up
- Design and own the architecture of real-time voice agent systems: orchestration, state management, latency optimization, prompting, and reliability
- Own the end-to-end prompting strategy: conversation flows, tone, compliance-safe phrasing, guardrails, and edge-case handling
- Build and maintain testing and evaluation frameworks: A/B testing, regression testing, conversation QA, benchmarking, and KPI reporting
- Continuously expand AI prompting to cover more real-world scenarios
- Iterate on performance data and call outcomes to improve containment, conversion, liquidation rates, and customer satisfaction
- Optimize ASR, STT, TTS, turn-taking, interruption handling, and state transitions to improve voice quality
- Build scalable systems and tooling to support millions of voice interactions
- Work closely with product, operations, and leadership to translate business goals into high-performing voice agent behavior
Tech stack: LiveKit, Node.js, AWS, SQL; ASR/STT/TTS, real-time audio pipelines, SIP/telephony
Requirements
- 2+ years of experience in voice AI, conversational AI, prompt engineering, speech systems, or related agentic workflows
- 3+ years of experience in platform, infrastructure, or backend engineering
- Strong experience with Node.js, AWS, and SQL
- Experience building and shipping production systems in a startup or similarly fast-paced environment
- Experience with voice orchestration platforms or agent frameworks such as LiveKit or equivalent
- Strong prompt writing instincts and ability to design clear, effective, and resilient conversational flows for real-world edge cases
- Strong analytical skills and comfort tying technical work directly to business outcomes and ROI
Green Flags
- Voice AI experience in production, even from a no-name company or non-prestigious background.
- Has built AI infrastructure or agentic systems at a startup or AI company, understands what production-grade means at real scale
- LiveKit experience or direct experience with voice orchestration frameworks
- Business-minded, can connect technical decisions to liquidation rates, containment rates, and conversion metrics, not just engineering metrics