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Senior AI/ML Engineer - Agentic Healthcare Automation Systems

david joseph & company • United State
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AI Summary

Lead the design and optimization of AI-driven agentic systems automating healthcare navigation tasks for Medicare beneficiaries, leveraging reinforcement learning and multi-agent orchestration to improve patient advocacy workflows. Requires hands-on production voice AI experience, systems engineering expertise, and a track record of shipping scalable AI solutions in fast-paced environments. Collaborate closely with a small, high-growth team to iterate rapidly and enhance AI-driven healthcare workflows.

Key Highlights
Build and scale agentic systems automating healthcare workflows (e.g., insurance, pharmacy, patient calls) using reinforcement learning and multi-agent orchestration
Ship production-grade voice AI systems with streaming STT/TTS, telephony, and latency optimization
Design evaluation infrastructure and reinforcement-learning loops to continuously improve AI quality using real-world interactions
Key Responsibilities
Automate manual tasks performed by healthcare advocates (e.g., outbound calls to insurance providers, doctors, pharmacies, and patients)
Design and implement agentic search and multi-agent workflows for complex healthcare navigation tasks
Develop evaluation infrastructure to measure and improve AI automation quality using real-time metrics and regression suites
Implement reinforcement-learning loops to train models using real-world patient interactions and actions
Collaborate with a small, high-growth team to iterate rapidly and deploy AI solutions in production
Technical Skills Required
Reinforcement Learning Agentic Systems (Multi-Agent Orchestration, Tool Use, RAG) Production Voice AI (Streaming STT/TTS, Telephony, Latency Optimization)
Benefits & Perks
$180,000 to $220,000 base salary plus competitive early equity
Visa sponsorship for eligible candidates (e.g., OPT or H-1B transfers)
Relocation assistance expected for Q1 2027 (San Francisco preference)
Nice to Have
Experience as an ex-YC founder or 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)
Undergraduate CS degree from a top-25 US or Canadian university

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

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