Mira Mace — Senior AI Engineer, Voice Systems
Mira Mace — Senior AI Engineer, Voice Systems
Type: Full-time | Remote (US), preference for San Francisco or Boston | San Francisco, CA Compensation: $180K–$220K + competitive equity Hiring count: 1 Visa sponsorship: Open to visa transfers (e.g. OPT, H-1B transfers) Reports to: Abhinav Garg, Head of Engineering
About Mira Mace
Mira Mace pairs Medicare beneficiaries with a dedicated healthcare advocate who navigates appointments, insurance, and care coordination on their behalf — nurses provide the human touch while AI agents handle the tedious backend work, all covered by Medicare. The long-term vision is an AI nurse concierge that makes 24/7 personalized health assistance affordable for everyone, not just the rich or the acutely ill.
Founded: 2025 | Team size: 9 | Total funding: $6.5MIndustry: Healthcare, AIWebsite: Office: Boston (relocating to San Francisco)Backing: Foundation Capital, DefineVC, and top Silicon Valley angels
Why Candidates Should Join
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$1M ARR in under a year: Rapid growth across multiple channels (direct-to-consumer plus B2B referrals from hospitals, insurers, and PCPs), venture-backed by Foundation Capital, DefineVC, and top Silicon Valley angels.
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Voice is the product, not a feature: Phone conversations are how the work gets done in healthcare — you own the core capability of the company, not a side project.
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Strong founding team: Google, Meta, Dropbox, and Amazon backgrounds with serial startup experience ranging from bootstrapped ventures to Series D scale-ups.
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Real moats being built: Reinforcement learning from real nurse interactions, plus local network effects (hospital pharmacy equipment vendor) that compound zip code by zip code, similar to Uber's city-level defensibility.
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Comp and ownership: Competitive comp ($180K–$220K) plus meaningful early equity, remote-friendly (US) or hybrid in SF/Boston, on a ~9-person team where your decisions define the company's technical DNA.
Intake Call Summary
- Care navigation for Medicare beneficiaries, with a vision of an AI nurse concierge; venture-backed, ~1 year old, at roughly a $1M run-rate revenue.
- Team of 9 full-time employees — 2 in Boston, the rest distributed across the US; planning to relocate to San Francisco soon.
- Hiring a Senior AI Engineer focused on reinforcement learning, voice, and agentic systems; core work is automating tasks nurses currently do manually and improving AI accuracy.
- Open to candidates with 1–3 years of experience, including recent graduates with demonstrated excellence; rapid-learning ability weighted over specific stack experience.
- Open to remote candidates, but preference for Boston or San Francisco.
- Ideal profile shows demonstrated excellence (top university or significant achievement) and thrives in unstructured, early-stage environments.
- Wants to raise the quality of AI automation to reduce reliance on human advocates.
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Compensation discussed on the call: $200K–$240K, with flexibility for the ideal candidate — note this differs from the $180K–$220K posted salary range (see Source Inconsistencies).
The Role
Own and improve the agentic systems that automate healthcare-navigation tasks on behalf of patients — building the "cursor for nurses": automating outbound voice calls, agentic search, and multi-agent orchestration, using reinforcement learning from real nurse interactions to continuously improve quality.
What You'll Be Doing
- Automating tasks that healthcare advocates currently do manually — outbound voice calls to insurance, doctors, pharmacies, and patients
- Building and improving agentic search and multi-agent orchestration systems that coordinate across complex healthcare workflows
- Designing evaluation infrastructure to measure and improve the quality of AI automations so advocates increasingly rely on them
- Implementing reinforcement learning loops that use real nurse actions to train and improve models over time
- Shipping fast and iterating directl