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

Role Description

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.

Qualifications

• Approximately 5–8 years of professional software engineering experience, or equivalent demonstrated ability.
• Experience owning delivery end to end, not only your own tasks.
• 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.
• Strong understanding of software architecture, API design, data modeling, testing, and production engineering.
• Practical experience building with LLMs or agentic AI systems.
• Understanding of agentic AI concepts.
• 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.
• High ownership, curiosity, and comfort working in an ambiguous startup environment.
• Clear written and verbal communication skills.
• Availability for the required meeting overlap with US Pacific Time.

Requirements

• 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.
• Use autonomous development agents to accelerate implementation, testing, debugging, refactoring, documentation, and code review.
• Define clear agent responsibilities, communication patterns, permissions, escalation paths, and quality gates.
• Design robust backend services, APIs, data models, integrations, and modern frontend experiences.
• Create evaluation frameworks and feedback loops for measuring agent quality, accuracy, reliability, and business impact.
• Implement protections against AI-specific risks.
• Measure the software factory's effectiveness using delivery speed, defect rates, test coverage, reliability, cost, and business outcomes.
• Collaborate directly with founders, product stakeholders, customers, and other engineers.
• Continuously evaluate emerging agentic AI frameworks, models, protocols, and development practices.

Benefits

• Competitive compensation, based on demonstrated ability and experience.
• Fully remote work.
• Equipment allowance.
• Local public holidays.
• Flexible paid time off.
• Direct and regular access to the founders, without intermediaries.

Schedule

Meetings and live collaboration take place between approximately 6:00 PM and 12:00 AM IST, overlapping US Pacific working hours. Attendance in that window is required. Outside that window, you decide when you work. We care about output, reliability, and being reachable when the team needs you — not clock-in times. The role carries a commitment of approximately 50 hours per week, and availability is expected during critical deployments and incidents.

What You Can Expect

• Significant ownership and direct influence over product and technical direction.
• Hands-on exposure to cutting-edge autonomous and agentic AI development.
• The opportunity to help build an AI-native software factory from the ground up.
• A path toward leading a coordinated swarm of specialized software-development agents.
• Fast learning, rapid experimentation, and short feedback cycles.
• A rigorous, high-accountability startup environment.
• Challenging work alongside ambitious and curious teammates.
• The opportunity to grow with the company and participate in the rewards of startup success.
• A demanding but energetic, collaborative, and fun working culture.

Who Will Thrive in This Role

This role is well suited to someone who:

• Enjoys startup intensity and moving quickly through ambiguity.
• Is deeply curious and learns aggressively.
• Takes ownership rather than waiting for detailed instructions.
• Understands that AI-generated output must still be validated and governed.
• Wants to build the systems through which software will be created — not merely complete individual tickets.
• Is excited by the prospect of eventually leading a software factory powered by autonomous agents.
• Wants to help define how AI-native software engineering will work in practice.