Senior Full-Stack AI Engineer — HealthTech Platform

3Y Health

Argentina

On-site

ARS 139,086,000 - 200,903,000

Full time

4 days ago
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Job summary

3Y Health is building an AI-native operating system for healthcare practices, delivering software and back-office services to ABA, therapy, and psychiatry clinics. The team builds with AI agents, model harnesses, and scalable cloud infrastructure across web and mobile platforms.

The role focuses on end-to-end ownership of features, from problem scoping to production, with a strong emphasis on AI-enabled workflows, data models, and secure handling of health information in a fast-growing MSO

Qualifications

  • 5+ years of experience building and shipping production software.
  • Hands-on experience building AI harnesses around models or coding agents, not just API calls.
  • At least one personal project published online, ideally a SaaS with payments working.

Responsibilities

  • Design and build AI agents and automated workflows for clinic operations.
  • Build features for clinicians, patients and families, and internal teams on web and mobile.
  • Take ambiguous problems from 0 to 1, define problem scope, write specs and ship first version.
  • Design services, data models and APIs behind features and manage infrastructure as code.
  • Own services in production: deployments, monitoring and incident response.
  • Write evals for model-facing features and track workflow metrics.
  • Handle PHI safely with least-privilege access and auditable changes.
  • Develop and maintain agent harnesses, MCP integrations and review bots.

Skills

Python
TypeScript
React
LLMs integration
AI agents

Tools

Claude Code
Codex
LangGraph SDK
Hasura

Job description

3Y Health is building an AI-native operating system for healthcare practices, delivering software and back-office services to ABA, therapy, and psychiatry clinics. The team builds with AI agents, model harnesses, and scalable cloud infrastructure across web and mobile platforms.

The role focuses on end-to-end ownership of features, from problem scoping to production, with a strong emphasis on AI-enabled workflows, data models, and secure handling of health information in a fast-growing MSO

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