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Senior AI Engineer, Voice Systems

David Joseph & Company

San Francisco, CA • On-site, Remote

$180K - $220K/yr

Full-time

Posted yesterday

New

Job description

About the Company
  • Early-stage, venture-backed healthcare AI company building an AI nurse concierge for Medicare beneficiaries
  • Pairs patients with a dedicated healthcare advocate while AI agents handle the tedious backend work, all covered by Medicare
  • Reached roughly $1M in run-rate revenue in under a year; team of nine
  • Industry: Healthcare, AI. Founded: 2025
The Role
  • Own and improve the agentic systems that automate healthcare-navigation tasks on behalf of patients, essentially building the "cursor for nurses"
  • Use reinforcement learning from real interactions to continuously improve quality
What You'll Be Doing
  • Automate tasks advocates currently do manually, including outbound voice calls to insurance, doctors, pharmacies, and patients
  • Build and improve agentic search and multi-agent orchestration across complex healthcare workflows
  • Design evaluation infrastructure to measure and improve the quality of AI automations
  • Implement reinforcement-learning loops that use real actions to train and improve models over time
  • Ship fast and iterate directly with the team that listens to real conversations daily
Requirements
  • Shipped voice AI to production (not demos)
  • 1 to 10 years of experience in AI/ML engineering, including systems with a voice component
  • A clear signal of excellence: a growing startup (Series A to D), major products shipped, funding raised, olympiad, or similar
  • Undergraduate CS degree from a top-25 university in the US or Canada
  • Production voice AI stack: streaming STT/TTS, telephony (Twilio/SIP), latency optimization, endpointing
  • Agentic systems: context engineering, multi-agent orchestration, tool use, RAG
  • Rapid learner who thrives in ambiguity and builds the playbook rather than following one
  • Willing to relocate to San Francisco in Q1 2027
Nice to Haves
  • Ex-YC founder, from a fast-scaling later-stage company, or Big Tech with prior startup experience
  • Built evaluation pipelines for voice systems: metrics, regression suites, production signal
Details
  • Location: San Francisco, CA, or remote (US), with preference for SF or Boston; relocation to SF expected around Q1 2027
  • Compensation: $180,000 to $220,000 base plus competitive early equity
  • Visa sponsorship: open to visa transfers (for example OPT or H-1B transfers)
  • Employment type: Full-time