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present of AI is seeking a VoIP-focused engineer in San Francisco to ensure medical practices can rely on clear, connected calls with an AI voice agent on top of the telephony layer. You will read SIP traces, interpret packet captures, and explain fixes to engineers and office staff, while spotting repeat issues to improve monitoring and internal guides.
Candidates should have hands-on VoIP experience, familiarity with CPaaS tools like Twilio or SignalWire, and basic scripting to automate
This role is about keeping phone systems for medical practices working well, so calls to an AI voice agent connect and sound clear. A strong candidate has a few years of hands on VoIP work, can read SIP traces and packet captures, and can explain a fix calmly to both engineers and office staff. The job also asks for someone who spots repeat problems and helps improve monitoring and internal guides.
The product is an AI voice agent, so the engineer supports the phone layer that the AI sits on top of. AI can flag patterns and speed up log review, but tracing a one way audio issue across network, PBX and carrier still takes human judgment. Clear communication with customers during a hard call stays a human skill.
Working here means learning how AI voice agents depend on reliable telephony, and how field issues shape the product. A candidate can build this by getting comfortable with CPaaS tools like Twilio or SignalWire and basic scripting to automate debugging. Understanding how call data feeds AI systems would help, since the company runs on a large set of patient interactions.
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
Specialty-specific AI voice agents that answer the phone for medical practices, handling scheduling, intake, triage and follow-up.