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3Y

Full Stack Engineer

3Y

. Design and build AI agents and automated workflows for clinic operations, including insurance benefits verification, prior authorizations, patient intake, claims, and clinical documentation .

Posted 10/31/2026contractRemote • ArgentinaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in building AI agents and automated workflows for clinic operations, with strong full-stack development skills in Python and TypeScript. Proficient in managing infrastructure as code and ensuring compliance with healthcare regulations such as HIPAA.

Highest-signal resume keywords
AI Agent DevelopmentFull-Stack Development in Python and TypeScriptInfrastructure as Code ManagementHealthcare Compliance (HIPAA)Experience with LLMs and AI Coding Agents

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI Agent DevelopmentFull-Stack DevelopmentPythonTypeScriptInfrastructure as CodeAPI DesignData ModelingModel EvaluationsSaaS DevelopmentDatabase Management
Soft Skills
Clear Written CommunicationIndependent Problem SolvingProduct Sense
Tools & Technologies
Claude CodeCodexCursorMCP ServersStripeReact NativeTemporal
Industry Keywords
HealthcareHIPAAPayer WorkflowsClaims WorkflowsEHR IntegrationsHL7FHIR

Tech Stack

Tools & technologies
CloudPythonReactReact NativeTypeScript

About the role

Key responsibilities & impact
  • 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, families, and the internal operations team
  • Take ambiguous problems from concept to first production version with operators and clinicians
  • Define problems, write specifications, and ship features
  • Design services, data models, and APIs
  • Manage infrastructure as code
  • Own production services, including deployments, monitoring, and incident response
  • Write evaluations for model-facing features and track workflow metrics
  • Handle protected health information safely using least-privilege access, no PHI in logs, and auditable changes
  • Build and maintain skills, plugins, MCP integrations, and review bots used with Claude Code and Codex
  • Work across the full platform in a flat engineering team

Requirements

What you’ll need
  • 5+ years of experience building and shipping production software
  • Recent, hands-on experience using or building AI harnesses beyond model API calls, including project instructions, tools and MCP servers, skills, hooks, subagents, or evals
  • At least one personal project built and published on the web, live and usable by anyone
  • Ideally, experience with a SaaS project with working payments such as Stripe
  • Strong full-stack skills in Python and TypeScript across frontend, backend, databases, and cloud infrastructure
  • Experience working in a large, established codebase
  • Hands-on experience with LLMs, including tool use, agent orchestration, structured outputs, retrieval, and evaluations
  • Daily use of AI coding agents such as Claude Code, Codex, or Cursor
  • Ability to configure AI coding agents with project instructions, skills, MCP servers, hooks, and subagents; run multiple tasks in parallel; and review output carefully
  • Product sense and ability to make UI decisions without a dedicated designer
  • Ability to work independently and unblock yourself
  • Clear written communication
  • Nice to have: healthcare or regulated-industry experience, including HIPAA, payer and claims workflows, EHR integrations, or HL7/FHIR
  • Nice to have: Temporal or another durable workflow engine
  • Nice to have: React Native
  • Nice to have: production LLM evaluations or safety checks
  • Nice to have: personal agent harness, MCP server, or coding-agent plugin
  • Nice to have: open-source work or internal tools used by others

Benefits

Comp & perks
  • Remote work arrangement
  • Contract employment
  • Opportunity to work with AI coding agents and modern AI technologies
  • Opportunity to build products for healthcare practices
  • Work with distributed teams across time zones