- Generalintelligencecompany
- New York, NY
- Full-Time
- 67 days ago
- $225,000 – $300,000
Fullstack Engineer - Cofounder.
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Fullstack Engineer - Cofounder: our view in 3 lines...
- The Role:This role is for a fullstack engineer building autonomous agent products for startups.
- The Person:The person will build and improve agent flows, integrations, and UI and backend features, while also adding instrumentation, analytics, testing, observability, and developer tooling.
- Requirements:The ideal candidate has 4+ years building and shipping user-facing products end to end with React, Next.js, TypeScript, Python FastAPI, and Postgres.
About the role
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
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End-to-end product work across the agent experience: flows, integrations, and UI/UX
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Flows: creation, editing, run criteria, execution reliability, and observability
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Integrations: add new integrations and deepen existing ones
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UI/UX: work on novel, interesting ways of building human<>agent interactions
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Product sense for complex UX: making powerful systems feel simple and reliable
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Ship features across the stack with a tight feedback loop from real users (frontend + backend)
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Improve performance, reliability, and cost across agent runs and flow execution
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Build instrumentation, analytics, and developer tooling to speed up iteration
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Maintain a high bar for code quality, tests, observability, and documentation
Requirements
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4+ years building and shipping user-facing products end to end
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Frontend: React/Next.js (or equivalent), TypeScript; component-driven development, performance profiling, accessibility, data fetching/state, optimistic UI and cache invalidation
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Backend: Python FastAPI, background workers/queues, webhooks, Postgres (or similar) schema design, transactions, migrations
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Solid testing and observability habits (unit/integration tests, metrics, traces, structured logs)
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Bias to ship: scope thin slices, deliver quickly, instrument, iterate
Nice to have
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Event-driven architectures, WebSockets/real-time UIs
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LLM/agent experience: tool-use patterns, prompt hygiene, guardrails, evaluation
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Infra familiarity (Vercel/AWS/Modal/Supabase/Redis Cloud or equivalent), CI/CD, feature flags
Why join
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Ship directly to engaged users; your work is visible and high-impact
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Build the core of an autonomous agent platform with real integrations and real workloads
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Small, elite team; high ownership; fast decisions; zero bureaucracy

