We’re building the AI-native distribution layer for the insurance industry — a massive, largely untouched market still running on manual workflows and legacy software. Voice is core to our product, not an afterthought: we operate a real-time voice platform with growing call volume and millions of production traces. As a Voice AI Engineer, you’ll own critical pieces of that infrastructure end-to-end, from telephony and ASR/TTS pipelines to the agent-skills layer that powers live calls.
We’re a fast-moving, distributed team with an AI-native engineering culture. We ship things that work for real customers — not demos.
What You’ll Do
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Build and improve our real-time voice platform: call handling, ASR/TTS pipelines, and latency-sensitive audio processing.
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Work on telephony infrastructure (Twilio/SIP) and the agent/skills layer powering live calls.
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Drive reliability and latency improvements for a system handling growing call volume at scale.
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Instrument and monitor voice quality, latency budgets, and failure modes in production.
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Ship daily using AI coding tools (Claude Code / Codex) as a core part of how you work — we’re an AI-native engineering org.
What We’re Looking For
Must-Haves
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Real-time voice / telephony experience: hands-on with Twilio, SIP, ASR/TTS, or latency-sensitive audio systems.
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Strong TypeScript / Node.js for production backend systems.
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High ownership mentality — you take a feature from design to production and support it after launch.
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Comfortable with distributed/event-driven systems, on-call rotations, incident response, and latency budgets.
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Proficiency instrumenting and monitoring voice quality and failure modes in production.
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Eligible to work in LATAM, Ukraine, or Portugal (fully remote); visa sponsorship is not available.
Nice-to-Haves
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Experience building agentic systems in production (tools/skills frameworks, MCP, evals, guardrails).