Job Summary

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

Role Overview

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 quick-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 factorys 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 5-8 years of professional software engineering experience, or equivalent demonstrated ability.
- Experience owning delivery end to end, not only your own tasks. You have seen how a whole product goes together, you can plan and sequence the work, and you have carried something over the finish line. This matters as much as your coding ability - it is the half of the job that most engineers have never done.
- Strong full-stack development skills across:
- Modern frontend frameworks such as React, Next.js, or equivalent
- Backend development using Python, TypeScript, Node.js, or similar technologies
- REST, GraphQL, event-driven, or asynchronous system integrations
- Relational and/or NoSQL databases

- Strong understanding of software architecture, API design, data modeling, testing, and production engineering.
- Practical experience building with LLMs or agentic AI systems - not only using AI coding assistants.
- Understanding of agentic AI concepts such as:

- Tool use and function calling
- Planning and multi-step execution
- Agent orchestration and delegation
- Multi-agent collaboration
- Memory and context management
- Retrieval-augmented generation
- Structured outputs and validation
- Model selection and routing
- Guardrails and permission boundaries
- Human-in-the-loop workflows

- Ability to assess AI-generated code critically and validate it through tests, reviews, security checks, and architectural reasoning.
- Working knowledge of cloud infrastructure, containers, CI/CD, production monitoring, and deployment practices.
- Basic understanding of cybersecurity principles, including:

- Authentication and authorization
- Encryption and secrets management
- Secure API design
- Dependency and supply-chain security
- Data privacy and access controls
- Common web application vulnerabilities

- High ownership, curiosity, and comfort working in an ambiguous startup environment.
- A strong desire to remain at the cutting edge of agentic AI and AI-native software development.

Disclaimer: This job posting & Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI-Native Full-Stack Software Engineer / Technical Project Manager (India)
🏢 Zenara Health
📍 India