Fullstack Engineer - Cofounder
The General Intelligence Company of New York generalintelligencecompany.com Open · verified Oct 24, 2026 At a glance
Mid-level Full-stack Engineering role at The General Intelligence Company of New York. New York · full-time · $225,000–$300,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Build the agent experience end to end, including user flows, integrations and interface design
- Shape how users create, edit and run flows, making execution dependable and visible
- Add integrations and improve existing connections across the product
- Ship frontend and backend features, then use feedback from real users to guide changes
- Improve agent-run speed, reliability and cost while building analytics and developer tools
What you bring
- At least four years building and launching complete products for end users
- Frontend experience with React or Next.js, TypeScript, and component-based development
- Backend experience with Python FastAPI, queues or workers, webhooks and relational database design
- You test and monitor software using practices such as metrics, traces and structured logs
Who this fits
This suits a mid-level engineer who wants broad product ownership across frontend and backend, with a quick cycle of shipping and user feedback. The role is based on-site in New York.
From the employer
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
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Full-stack Engineering$220k+
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