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3Y

AI Product 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 11/4/2026contractRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in building and shipping production software with a strong focus on AI agents and automated workflows in healthcare settings. Proficient in full-stack development using Python and TypeScript, with a solid understanding of HIPAA compliance and healthcare workflows.

Highest-signal resume keywords
AI Agent DevelopmentFull-Stack DevelopmentPython ProgrammingTypeScript ProgrammingHIPAA Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Production Software DevelopmentAI HarnessesAPI DesignData ModelingInfrastructure as CodeLLM Tool UseAgent OrchestrationWorkflow Metrics TrackingSaaS DevelopmentEHR Integrations
Soft Skills
Clear Written CommunicationGood Product Sense
Tools & Technologies
Claude CodeCodexCursorStripeTemporalReact Native
Industry Keywords
HealthcareRegulated IndustryPayer WorkflowsClaims WorkflowsHL7FHIR

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 internal operations teams
  • Take ambiguous problems from concept to production by working with operators and clinicians, defining problems, writing specifications, and shipping initial versions
  • Design services, data models, and APIs
  • Manage infrastructure as code
  • Own services in production, 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, excluding PHI from logs, and maintaining auditable changes
  • Build and maintain engineering skills, plugins, MCP integrations, and review bots for Claude Code and Codex

Requirements

What you’ll need
  • 5+ years of experience building and shipping production software
  • Recent, hands-on experience using or building AI harnesses beyond simple 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 that is live and usable by anyone; ideally a SaaS with working payments such as Stripe
  • Track record of owning products or features end to end
  • Strong full-stack skills in Python and TypeScript across frontend, backend, databases, and cloud infrastructure
  • Comfort working in a large, established codebase
  • Hands-on experience with LLM 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 tasks in parallel and review outputs carefully
  • Good product sense and ability to make UI decisions without a dedicated designer
  • Clear written communication
  • Experience with healthcare or another regulated industry, HIPAA, payer and claims workflows, EHR integrations, or HL7/FHIR is nice to have
  • Experience with Temporal or another durable workflow engine is nice to have
  • React Native experience is nice to have
  • Experience running LLM evaluations or safety checks in production is nice to have
  • Experience building an agent harness, MCP server, or coding-agent plugin is nice to have
  • Open-source work or internal tools used by others is nice to have

Benefits

Comp & perks
  • Remote work arrangement
  • Opportunity to work on an AI-native healthcare platform
  • Opportunity to work with AI coding agents, including Claude Code and Codex
  • Work across the full engineering platform in a flat engineering team
  • Exposure to healthcare operations and regulated-industry workflows