Senior AI Engineer — Voice

The role

You will own the voice AI end to end, including the calling pipeline and conversation quality. You will build and operate the real-time stack and systems to improve it through evaluation and tooling.

What you will do

• Turn goals into a roadmap.
• Own the voice pipeline including telephony, speech-to-text, LLM orchestration, and text-to-speech.
• Drive call quality by building evaluation harnesses and regression suites.
• Handle real world telephony issues like automated menus, holds, transfers, and noisy lines.
• Scale calling volume reliably.
• Close the loop with the team that listens to calls to implement prompt and model changes.
• Ship fast and iterate with real users.
• Lay the foundation for scale through architectural decisions.

Required qualifications

• Built and shipped real-time voice AI to production.
• Hands-on depth across the voice stack including streaming speech-to-text, text-to-speech, turn detection, endpointing, barge-in, and latency optimization.
• Experience running telephony in production such as SIP/PSTN, Twilio or similar.
• Built evaluation for voice or conversational systems.
• Debugged AI systems in production.
• Product judgment.

Nice to have

• Experience with real-time voice agent frameworks.
• Speech model fine-tuning, custom vocabularies, or domain adaptation for specialized terminology.
• Experience building agents that navigate automated phone systems on the other end of the line.
• Experience in healthcare or another regulated industry (HIPAA, PII/PHI handling, call recording and consent).
• Experience as founder / founding team member / early stage startup.

Benefits

• Competitive compensation
• Meaningful early equity

About the company

Mira Mace pairs Medicare beneficiaries with a dedicated healthcare advocate. The founding team has technical experience from companies like Google, Meta, Dropbox, and Amazon.