Posted today · be early
Senior AI-Native Product Engineer - Senior | Zenara Health
Zenara Health
IndiaremotePosted 1 day ago
Z
Skill Required
AI-Native-Product-EngineerProduct-EngineerFull-Stack-EngineerSoftware-EngineerAI-EngineerSenior-Applied-AI-Product-EngineerGenerative-AI-EngineerAI EngineerAIObservabilityEngineeringTypeScriptPostgreSQLPlaywrightTerraformdesigningdebuggingNode.jssecuritybuildingwrittenTestNGdesignReactRedisAzureISO 27001APIsandCIFulltime
Key highlights
- Competitive compensation
- Remote - India
- Approximately 50 hours per week
- Required overlap: 6:00 PM to 12:00 AM IST
- Requires AI-native engineering leverage
- Equipment allowance
Role overview
Zenara Health is a technology-oriented mental healthcare organization building clinical software for behavioral-health clinics, such as Assess and Zenflow. They are seeking a Senior AI-Native Product Engineer to act as a second independent technical owner capable of taking product work from requirement to production using a blend of strong engineering judgment and AI-native leverage. The role focuses on building an engineering system where highly capable engineers direct fleets of agents to design, implement, test, review, document, and improve software, increasing leverage while maintaining strict accountability for architecture, code quality, security, and production behavior.
Responsibilities
- 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.
- Break product requirements into agent-executable tasks.
- Design useful context for agents.
- Review and correct agent-written code.
- Create tests that actually detect failure.
- Prevent agent-created architectural drift.
- Improve release confidence.
- Mentor junior engineers in AI-native workflows.
- Set standards for human review, quality gates, and production ownership.
- Translate product requirements into clear agent tasks.
- Know when to delegate to agents and when to take over manually.
- Review AI output deeply enough to catch hidden bugs.
- Validate behavior through tests, logs, and production evidence.
- Prevent agents from introducing unnecessary complexity.
- Maintain architectural consistency across agent-written changes.
- Use AI to move faster without outsourcing your judgment.
Requirements
- 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.
Nice to have
- Healthcare, health-tech, or regulated-data experience.
- HIPAA or patient-data handling experience.
- Deep TypeScript, React, and Node.js experience at production scale.
- Experience mentoring junior engineers.
- Early-stage startup experience.
Benefits
- 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
Additional details
- 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
- Current Stack: TypeScript, Node.js, Hono, React, Prisma, PostgreSQL, Redis, BullMQ, Playwright, Azure AKS, Blob Storage, Azure Monitor / OpenTelemetry, Terraform, Helm, CI pipelines, Medplum / FHIR, Flowable, Claude Code, Codex, Dify-based AI workflows
- First 30 days success: ship one bounded feature through a verified release, leave clear maintenance notes, and help a junior developer complete one independently reviewed change.
- First 90 days success: own a product area, ship features regularly with agents, handle production issues in that area without depending on the Head of Engineering, and review junior engineering work.
- Long-term success: becoming a trusted technical owner of a major product area and helping set the team’s agentic development practices while improving delivery speed and keeping escaped defects low.
- Who will thrive: Loves building product, uses AI aggressively but does not trust it blindly, takes ownership without waiting for detailed instructions, can debug AI-generated code by hand, cares about tests/evidence/production behavior, wants to help define AI-native engineering.
- Who may struggle: Needs detailed instructions for every task, can only code manually, can only prompt but not debug, or treats passing tests as proof without understanding verification.
- Originally posted on Himalayas