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Full Stack Engineer

Technology
Ghost
Oberlin, United States3 weeks agoUntil 4/11/2026
Fully remote

Job 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 👻

Keywords
PythonTypeScriptCloudLLMsVoice AIAgent SystemsFull-Stack EngineeringProduct DeliveryAI AgentsHealthcareStartupFundingAutomationWorkflowsFounding EngineerRemoteGoAWSGCPAzure

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