Full Stack Engineer
GhostJob description
Founding Engineer (AI Agents) | Healthcare AI Startup | Top Angel & VC Backed | Remote SF Backed by $5M in funding from top-tier investors including SignalFire, Scale AI Angels, and founders from Decagon and Modal — this is a rare chance to join a high-velocity, deeply technical team at the ground floor. They have already partnered with one of the Top 3 largest for-profit hospital systems in the U.S., the company is building multimodal AI agents to transform how healthcare providers get paid — automating some of the most complex workflows in the industry. Why this is exciting?
Join a true rocket ship in stealth with real customers already lined up
Work alongside founders from Anduril with deep healthcare operator networks
Build at the frontier of LLMs, voice AI, and agent systems
Own products end-to-end as a founding engineer What you’ll do Build and ship multi-modal AI agents (browser, voice, text, APIs) that outperform human workflows
Work directly with healthcare operators to deploy and drive real financial impact
Design evaluation systems to continuously improve agent performance
Shape the agent platform strategy across customers
Build core infrastructure (context, memory, orchestration, evals) powering the full healthcare revenue cycle Tech Stack Python, Go, TypeScript, AWS/GCP/Azure Who they’re looking for 1–5 (Max) years as a full-stack or product engineer
Experience shipping real products end-to-end
Background at a recognizable company (or strong startup equivalent)
Strong in Python or TypeScript + cloud
Experience with LLMs, voice AI, or agent systems
Customer-facing mindset + high ownership
Currently a hands-on IC (not managing) with clear career momentum Not a fit if you: You dont like Pokemon You require sponsorship
Have been in pure management for 2+ years
Have a pattern of short stints without clear progression
Are heavily infra/DevOps focused without product delivery
Prefer large, slow-moving environments Why now? They’re moving fast — but need to move faster. Demand is already there, and the 1 priority is scaling the team to meet it. If you want to define the future of AI agents in healthcare — this is your moment 👻
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