AI Product Engineer

New
3
3Y HealthHealthcare software
Remote - Buenos AiresContractSenior
Salary not disclosed
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Job Details

Experience
5+ years of experience building and shipping production software
Required Skills
PythonFrontend DevelopmentTypeScript

Requirements

  • Have 5+ years of experience building and shipping production software.
  • Have recent, hands-on experience using or building AI harnesses, including project instructions, tools and MCP servers, skills, hooks, subagents, or evaluations.
  • Have at least one personal project published on the web that is live and usable by anyone; a SaaS with working payments is preferred.
  • Show a track record of owning products or features end to end, from an unclear problem to a system people depend on.
  • Bring strong full-stack skills in Python and TypeScript across frontend, backend, databases, and cloud infrastructure.
  • Be comfortable working in a large, established codebase.
  • Have hands-on LLM experience, including tool use, agent orchestration, structured outputs, retrieval, and evaluations.
  • Use AI coding agents such as Claude Code, Codex, or Cursor daily, and know how to configure them for a codebase, run parallel tasks, and review their output.
  • Make sound UI decisions using a component library without a dedicated designer.
  • Be able to work independently, find context, and ask questions when needed.
  • Communicate clearly in writing; the distributed team makes many decisions in specifications, pull requests, and tickets.

Responsibilities

  • Design and build AI agents and automated workflows for clinic operations, including insurance benefits verification, prior authorizations, patient intake, claims, and clinical documentation.
  • Build web and mobile features for clinicians, patients and families, and the internal operations team.
  • Define ambiguous problems with operators and clinicians, write specifications, and ship first versions.
  • Design services, data models, and APIs, and manage infrastructure as code.
  • Deploy, monitor, and respond to incidents for owned production services.
  • Write evaluations for model-facing features and track workflow metrics.
  • Handle protected health information using least-privilege access, keeping PHI out of logs and changes auditable.
  • Build and maintain engineering skills, plugins, MCP integrations, and review bots used with Claude Code and Codex.
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