Early Full-Stack Engineer (AI Startup)Location: San Francisco, CA (Onsite)
Experience: 5+ years
ObjectiveSeeking a hands-on Full-Stack Engineer to join an early-stage AI startup and build customer-facing production software across the frontend, backend, and infrastructure. This is a high-ownership role working directly with founders and early customers to build and scale complex AI agent systems from product design through production.
Must-Have Requirements- 5+ years of full-stack, backend, or software engineering experience.
- Prior startup experience building and operating customer-facing production software.
- Strong technical depth with demonstrated experience designing or rearchitecting complex production systems.
- Strong experience with Python, TypeScript, and React.
- Experience building backend services, APIs, integrations, and distributed systems.
- Strong PostgreSQL experience; Redis experience preferred.
- Experience with authentication/authorization, testing, deployment, and release automation.
- Experience with production reliability, observability, monitoring, and failure recovery.
- Experience building with or deploying AI applications/agents.
- Comfortable owning features end-to-end across frontend, backend, database, and production.
- Experience working directly with founders, customers, or end users.
- Thrives in fast-paced, ambiguous startup environments with high ownership.
Preferred Traits- Strong systems thinker who can demonstrate depth beyond simply knowing the right technologies.
- Has personally built complex systems from scratch and can clearly explain architecture decisions, tradeoffs, scale, and technical challenges.
- Product-minded engineer who cares about UX and customer outcomes, not just backend architecture.
- Comfortable using AI coding tools to significantly accelerate development while understanding their limitations.
- Independent, curious, and capable of moving quickly with limited process.
- Willing to challenge assumptions and propose simpler or better approaches.
- Comfortable wearing multiple hats and handling the unglamorous work required at an early-stage startup.
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