Lead Voice Infrastructure Engineer
Lead the design and operation of scalable telephony infrastructure powering AI voice agents for accounts receivable workflows, including SIP trunking, call routing, realtime media, and integrations with speech systems.
What You’ll Do
- Design, build, and operate telephony services that manage phone numbers, SIP trunks, carrier integrations, and call routing at scale
- Develop reliable signaling and media systems that bridge traditional telephony with realtime voice infrastructure and AI pipelines
- Build and improve core voice workflows: outbound calling, inbound routing, warm transfer, voicemail handling, DTMF interaction, and human handoff
- Work closely with speech and AI systems across STT, TTS, turn-taking, interruption handling, and agent orchestration
- Improve call quality, latency, reliability, and debuggability across the voice stack
- Build internal APIs and platform primitives that make voice capabilities accessible to product and engineering teams
- Instrument voice workflows so we can measure business outcomes: answer rates, transfer success, voicemail outcomes, and resolution rates
- Work with carriers and external vendors to expand coverage, improve routing performance, and handle regulatory or operational requirements
- Dive into production issues when needed, including packet captures, signaling traces, vendor debugging, and incident response
You Might Be a Fit If You…
- Are a strong senior software engineer with experience building distributed backend systems
- Have meaningful experience with telephony systems: SIP, RTP, PSTN connectivity, trunks, number provisioning, or call routing
- Are comfortable working on realtime media systems where latency, reliability, and observability matter
- Can debug across layers, from APIs and backend services down to protocols, signaling flows, and packet-level issues
- Think beyond code and understand how infrastructure decisions affect product behavior, developer experience, and end-user trust
- Are pragmatic, hands-on, and able to move between architecture and direct execution
- Have experience with WebRTC, realtime media platforms, or speech systems (streaming STT, TTS, turn detection, conversational voice agents)
- Have worked with contact center workflows, IVR systems, or enterprise telephony integrations
- Have experience with Go, Python, C, or C++
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