Senior AI-Native Product Engineer - Senior | Zenara Health

Location: Remote - India

Type: Full-time

Working Hours: All meetings and live collaboration happen between approximately 6:00 PM and 12:00 AM IST, overlapping US Pacific Time. Attendance in that window is required. Your remaining work is yours to schedule.

Commitment: Approximately 50 hours per week

Industry: Healthcare technology experience is preferred but not mandatory

About the Company

Zenara Health is a technology-oriented mental healthcare organization focused on improving access, quality, and operational effectiveness in behavioral healthcare. We build clinical software for behavioral-health clinics, including products such as Assess and Zenflow.

We are a startup, not a department. We are building a small, high-ownership, AI-native team that uses modern agentic tools to create software faster, more carefully, and with stronger accountability.

About the Role

We are looking for a Senior AI-Native Product Engineer who can take meaningful product work from requirement to production.

This is not a role for someone who merely uses AI autocomplete. It is also not a role for someone who refuses to use AI and wants to code everything manually.

You will use AI coding agents such as Claude Code, Codex, Cursor, and similar systems to accelerate development — but you will remain accountable for the architecture, code quality, tests, security, and production behavior of everything you ship.

Today, too much senior hands-on engineering work depends on our Head of Engineering. This hire creates a second independent technical owner who can ship quickly with agents without lowering quality ..

Here is the test: can you take a product requirement, break it into buildable pieces, delegate intelligently to agents, review the output, debug what is wrong, prove that the feature works, and carry it over the finish line?

We are not looking for a prompt operator who cannot code.

We are not looking for a traditional engineer who refuses to work with agents.

We need both: strong engineering judgment and AI-native leverage.

Our AI-Native Engineering Vision

We are building toward an engineering system where a small number of highly capable engineers can direct fleets of agents to design, implement, test, review, document, and improve software.

The goal is not to remove engineering accountability. The goal is to increase leverage while making quality more measurable.

You will help shape how this works at Zenara, including:

• Breaking product requirements into agent-executable tasks
• Designing useful context for agents
• Reviewing and correcting agent-written code
• Creating tests that actually detect failure
• Preventing agent-created architectural drift
• Improving release confidence
• Mentoring junior engineers in AI-native workflows
• Setting standards for human review, quality gates, and production ownership

You will be one of the people defining how software gets built here.

What You’ll Do

• Design, build, test, deploy, and maintain full-stack product features across Zenara’s clinical products.
• Own features end to end, from an 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 the skepticism of a senior engineer.
• Debug and fix code manually when AI output is wrong, incomplete, or misleading.
• Build and validate tests that prove the feature works — including tests that fail when the code is wrong.
• Own production issues in your area: 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.

What We’re Looking For

• 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 concer…