The General Intelligence Company of New York
Fullstack Engineer - Cofounder
Employment
Full-timeFrom the employer
FullTime
Level
Not statedTeam
Product - Cofounder / Product - CofounderCountry assessment
Not doable from Austria because the employer's own board marks it as not remote.
Our assessment is guidance. Confirm arrangements with the employer.
Skills mentioned in this posting
Job description
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