AI-Native Full-Stack Software Engineer / Technical Project Manager

AI-Native Full-Stack Software Engineer / Technical Project Manager— Mid-Level | Zenara Health

Location

Remote

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

Compensation

Competitive, based on demonstrated ability and experience

About the Company

Zenara Health is a technology-oriented mental healthcare organization focused on enhancing accessibility and quality of mental wellness services. We integrate AI-driven platforms with professional clinical care to offer personalized and effective mental health solutions, fostering a seamless digital experience for both patients and providers. We are a startup, not merely a department.

About the Role

We are looking for an AI-native Full-Stack Software Engineer who understands that AI-assisted software development goes far beyond using Cursor, Claude Code, or other coding assistants.

You will use and build autonomous agentic development workflows — delegating complex tasks to agents, designing effective context and tool architectures, evaluating outputs, and creating reliable systems in which AI agents can plan, execute, test, and iterate.

You should also be a strong software engineer capable of making sound architectural decisions and delivering production-grade applications across the stack. You will work across product development, AI systems, cloud infrastructure, security, testing, and deployment.

Here is the test. Are you someone who knows how to run a piece of work and get a product over the finish line? Could you build it yourself if you had to — but you get there faster with a team around you? We are not looking for a project manager who cannot code, and we are not looking for a coder who cannot run a project. We need both, in one person.

The difference in this role is who the team is. You will not be coordinating twenty engineers. You will be coordinating agents, and holding yourself to the same standard of delivery you would if they were people.

This is a hands-on role in a fast-moving startup. You will have meaningful ownership, work through ambiguity, learn quickly, and help shape both our product architecture and engineering culture.

Our Software Factory Vision

We are building toward an AI-native software factory: an engineering system where coordinated swarms of specialized agents can translate product requirements into architecture, implementation, tests, security checks, documentation, deployments, and continuous improvements — with engineers providing direction, judgment, and governance.

You will help design and operate this software factory, including

Agent roles and responsibilities

Multi-agent orchestration and delegation

Context and memory architecture

Tool access and permission controls

Testing and quality gates

Security and compliance checks

Evaluations, tracing, and observability

Human review and approval workflows

Feedback loops for continuous improvement

The goal is not to eliminate engineering accountability. It is to enable a small, highly capable engineering team to deliver software with dramatically greater speed, quality, and consistency.

As you grow in this role, you will have the opportunity to lead this software factory and direct a swarm of autonomous development agents. You will increasingly operate as the technical leader of an intelligent delivery system — while remaining hands-on with architecture, engineering standards, and critical technical decisions.

What You'll Do

Design, build, test, deploy, and maintain full-stack product features.

Develop AI-native applications and workflows using autonomous agents, LLMs, tools, APIs, retrieval systems, and structured data.

Build agentic systems that can plan and execute multi-step tasks with appropriate observability, evaluation, permissions, and human oversight.

Use autonomous development agents to accelerate implementation, testing, debugging, refactoring, documentation, and code review without compromising engineering quality.

Build and operate multi-agent workflows across product discovery, architecture, development, testing, security, deployment, and maintenance.

Define clear agent responsibilities, communication patterns, permissions, escalation paths, and quality gates.

Design robust backend services, APIs, data models, integrations, and modern frontend experiences.

Contribute to system architecture and make practical decisions involving scalability, reliability, security, cost, and maintainability.

Create evaluation frameworks and feedback loops for measuring agent quality, accuracy, reliability, and business impact.

Develop safeguards that prevent agents from introducing architectural drift, security vulnerabilities, unreliable code, or unnecessary complexity.

Implement protections against AI-specific risks, including hallucinations, prompt injection, excessive permissions, data leakage, and unreliable tool execution.

Measure the software factory's effectiveness using delivery speed, defect rates, test coverage, reliability, cost, and business outcomes.

Work with cloud infrastructure, CI/CD pipelines, containers, logs, monitoring, secrets, environments, and production deployments.

Apply foundational cybersecurity practices across application development and infrastructure.

Collaborate directly with founders, product stakeholders, customers, and other engineers.

Take ownership from initial problem definition through production deployment and ongoing improvement.

Continuously evaluate emerging agentic AI frameworks, models, protocols, and development practices.

Gradually take ownership of coordinating the agent swarm and shaping the next generation of our AI-native engineering organization.

What We're Looking For

Approximately 5–