CTO Cofounder for AI Agent Healthcare Automation

Full-time contractAdvanced4040h est.

Opportunity Summary

This is a cofounder-level, hands-on CTO role focused on building AI agents to automate work for outpatient healthcare practices. You will code daily, take primary responsibility for architecture, and partner directly with customers to shape what gets built. The platform involves Python and Django, a Next.js front end, Postgres for data, and AWS for infrastructure. The role also includes LLM and voice or agent infrastructure to support real-world automation workflows. Strong fit is an engineer who wants to build product deeply rather than manage an org.

Ideal Candidate

A senior to principal-level builder who has shipped AI agent systems and full-stack web products. You enjoy owning architecture, working directly with customers, and making product decisions through implementation.

Project Insights

  • Architecture and customer feedback are tightly coupled in cofounder roles
  • Agent systems need careful fallbacks, observability, and iteration loops
  • A strong full-stack background helps you move from prototype to production faster

How to Prepare

  • Prepare a concrete plan for agent workflow architecture and monitoring
  • Show 1-2 examples of agent or automation systems you shipped to users
  • Be ready to discuss tradeoffs for latency, reliability, and data handling

Typical Challenges

  • Designing reliable agent workflows for complex, real-world operations
  • Integrating LLM and voice capabilities with dependable backend logic
  • Handling data modeling and privacy constraints in healthcare contexts

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Project Details

Project sizeLarge
TimelinePermanent position
Hours estimate40–40 hours
ExperienceExpert
EngagementFull-time contract

Skills & Requirements

pythondjangonext.jspostgresqlawsllm engineeringvoice/agent infrastructure
Response tip: Pitch your agent architecture and show how you ship healthcare workflows.
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