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Zenara Health

Senior AI-Native Product Engineer

Zenara Health

. Design, build, test, deploy, and maintain full-stack product features across Zenara’s clinical products .

Posted 10/21/2026full-timeRemote • IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong full-stack engineering capabilities with a focus on AI coding agents, production system ownership, and effective debugging. Proven ability to mentor junior engineers and maintain high standards for code quality and production readiness.

Highest-signal resume keywords
Full-Stack Product EngineeringAI Coding Agents ExperienceProduction Systems OwnershipTypeScript ProficiencyMentoring Junior Engineers

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
APIsDatabasesIntegrationsUser-Facing WorkflowsDebugging CodeTestingRefactoringDocumentationProduction Incident ManagementArchitectural Standards
Soft Skills
Clear Written CommunicationStrong OwnershipGood JudgmentComfort with AmbiguityFast Feedback Adaptability
Tools & Technologies
TypeScriptReactNode.jsAI Coding Agents
Industry Keywords
HealthcareHealth-TechRegulated DataHIPAAPatient Data Handling

Tech Stack

Tools & technologies
JavaScriptNode.jsReactTypeScript

About the role

Key responsibilities & impact
  • Design, build, test, deploy, and maintain full-stack product features across Zenara’s clinical products
  • Own features end to end, from agreed requirement through task breakdown, implementation, testing, release, and production follow-up
  • Use AI coding agents to accelerate implementation, refactoring, debugging, testing, and documentation
  • Review every agent-generated change with senior-engineer-level skepticism
  • Debug and fix code manually when AI output is wrong, incomplete, or misleading
  • Build and validate tests that prove features work, including tests that fail when code is wrong
  • Own production issues: diagnose, fix, document, and prevent recurrence
  • Mentor and review work from junior engineers
  • Raise risks early, keep tickets current, and prevent delivery surprises
  • Help define Zenara’s standards for AI-native engineering, code review, testing, and production readiness
  • Break product requirements into agent-executable tasks and design useful context for agents
  • Prevent agent-created architectural drift and improve release confidence
  • Set standards for human review, quality gates, and production ownership

Requirements

What you’ll need
  • Strong full-stack product engineering experience across APIs, databases, permissions, integrations, and user-facing workflows
  • Real experience using AI coding agents for multi-step engineering work, not just autocomplete
  • Strong ability to read, debug, and fix code without AI
  • Good judgment when reviewing AI-generated code and AI-generated tests
  • Experience owning production systems or production incidents
  • Comfort working across frontend, backend, data, integrations, and infrastructure-adjacent concerns
  • Clear written communication and strong ownership
  • Comfort with ambiguity, fast feedback cycles, and startup pace
  • Ability to learn quickly across a modern TypeScript product stack
  • Healthcare, health-tech, or regulated-data experience is preferred but not mandatory
  • Nice-to-have: HIPAA or patient-data handling experience
  • Nice-to-have: deep TypeScript, React, and Node.js experience at production scale
  • Nice-to-have: experience mentoring junior engineers
  • Nice-to-have: early-stage startup experience

Benefits

Comp & perks
  • Competitive compensation, based on demonstrated ability and experience
  • Fully remote work
  • Equipment allowance
  • Direct and regular access to the founder and Head of Engineering
  • Meaningful ownership in a fast-moving startup environment