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Specialized voice AI plus VC backing and metro location produce moderate competition.
Highly specialized voice, telephony, and ML skills reduce cross-industry transferability.
Many mandatory niche technical requirements (telephony, STT/TTS, codecs, deployment), raising selection rigidity.
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Design, build, and deploy scalable voice AI agents handling thousands of live customer conversations daily.
Own and optimize real-time audio pipelines and telephony integrations including WebRTC, SIP, RTP, and CPaaS platforms.
Operate and tune production voice AI systems on AWS with responsibilities including latency tuning, call quality monitoring, and incident response.
Hands-on experience with voice AI agent frameworks such as Pipecat or LiveKit.
Proficiency in telephony protocols and media servers (SIP, WebRTC, FreeSWITCH, Asterisk, Kamailio).
Production-level programming skills in Python plus at least one of Node.js, TypeScript, or Go.
Work Experience Required: Not explicitly mentioned in the JD.
Proven track record of delivering production voice AI or telephony systems with measurable impact on latency, call volume, and quality.
Deep expertise integrating STT, TTS, and LLM orchestration layers into reliable, low-latency voice experiences.
Experience with AWS cloud infrastructure (Lambda, EC2, S3, EKS) and container orchestration (Docker, Kubernetes) for production deployment.