Requirements
- 2–6 years of professional full-stack experience at a product-first company or FAANG-level environment (Senior SDE ownership expected).
- Comfortable building features across the entire backend stack.
- Care deeply about product, design, and user experience—not just code.
- Have owned something meaningful end-to-end (a product module, infrastructure refactor, major feature launch).
- Can set standards for engineering quality and architectural decisions in an AI-native environment.
- Resourceful and thrive in ambiguous environments—you figure things out independently.
- Have strong product intuition and can push back on requirements when needed to improve outcomes.
- AI coding experience is your most important and necessary skill - you have deep understanding of modern coding tools, specifically Claude Code, and are proficient with its various modes (Interactive, Plan, Headless, Agent Teams, Delegate).
- You're 'AI-pilled' when it comes to problem-solving - you tackle any new problem, skill, or architectural challenge by leveraging AI tools and an AI-driven workflow. This is your default approach, not an experiment.
- Strong systems thinking and architectural awareness - you direct AI to build while you architect, review, and verify. You know when AI output is correct and when it needs correction.
- Can demonstrate recent AI-native work - you've shipped meaningful projects in the last 90 days where AI coding tools were your primary development environment.
Nice to Have
- Experience building autonomous agents with the Claude Agent SDK or similar agentic frameworks—you understand multi-agent orchestration, MCP integrations, and production agent deployment.
- Experience with AI image/video generation or manipulation - familiarity with tools like Midjourney, Runway, Stable Diffusion, Sora, or integrating generation APIs into product workflows.
- You've built responsive, delightful UIs (React, TypeScript, Tailwind, shadcn/ui).
- You've worked at an early-stage startup or been a first/early engineering hire.
- You've built internal tooling, dashboards, or systems that scaled to thousands of users.
- You've led technical initiatives or mentored junior engineers.
- You've built or maintained design systems.
- You're curious about AI, e-commerce, or automation—we work in that space.
- You've shipped side projects or contributed to open-source.
- You've worked directly with designers and can contribute to design discussions.
