Fullstack Engineer - Cofounder

About Cofounder

At General Intelligence, we’re building highly-capable autonomous agents for startups. Our goal is to enable the one-person, one-billion-dollar company.

Our product, Cofounder, enables entrepreneurs to start and run companies. Using it should feel more like a company-building game where users coordinate agents, unlock roadmap nodes, run missions, build artifacts, grow departments, and make revenue go up.

What you’ll own

• End-to-end product work across the agent experience: flows, integrations, and UI/UX
• Flows: creation, editing, run criteria, execution reliability, and observability
• Integrations: add new integrations and deepen existing ones
• UI/UX: work on novel, interesting ways of building human<>agent interactions
• Product sense for complex UX: making powerful systems feel simple and reliable
• Ship features across the stack with a tight feedback loop from real users (frontend + backend)
• Improve performance, reliability, and cost across agent runs and flow execution
• Build instrumentation, analytics, and developer tooling to speed up iteration
• Maintain a high bar for code quality, tests, observability, and documentation

Requirements

• 4+ years building and shipping user-facing products end to end
• Frontend: React/Next.js (or equivalent), TypeScript; component-driven development, performance profiling, accessibility, data fetching/state, optimistic UI and cache invalidation
• Backend: Python FastAPI, background workers/queues, webhooks, Postgres (or similar) schema design, transactions, migrations
• Solid testing and observability habits (unit/integration tests, metrics, traces, structured logs)
• Bias to ship: scope thin slices, deliver quickly, instrument, iterate

Nice to have

• Event-driven architectures, WebSockets/real-time UIs
• LLM/agent experience: tool-use patterns, prompt hygiene, guardrails, evaluation
• Infra familiarity (Vercel/AWS/Modal/Supabase/Redis Cloud or equivalent), CI/CD, feature flags

Why join

• Ship directly to engaged users; your work is visible and high-impact
• Build the core of an autonomous agent platform with real integrations and real workloads
• Small, elite team; high ownership; fast decisions; zero bureaucracy

Compensation: $225K - $300K