About the Role This is a rare early-engineer opportunity at a seed-stage startup building an agentic integration platform for the real economy . Specialized AI agents gather requirements in plain English, generate integration code, test it, deploy it, and keep it alive in production — autonomously, end-to-end. You'll be one of the first engineers on the team, owning core systems alongside the founders and setting the technical foundation that every future hire builds upon. This is not a chatbot or a thin LLM wrapper — the agents do real work with real consequences in production. The platform includes agent orchestration across specialized agents, a durable execution runtime (think: a mini Vercel for integrations), self-healing systems, and a knowledge base that compounds with every integration shipped. What You'll Do Own core systems end-to-end — agent platform, infrastructure, and the integrations runtime. Set the engineering patterns — the architecture and conventions you establish will underpin everything every future hire builds. Ship to production constantly — work directly with founders in tight feedback loops, moving fast with high ownership. Shape the entire system — within your first year, your fingerprints will be on the full stack: orchestration, runtime, infra, and tooling. What We're Looking For Strong full-stack or backend engineering background with a bias toward systems thinking and production ownership. Comfort with the tech stack: TypeScript, React, Bun, Effect-TS, PostgreSQL, Kubernetes, AWS . Experience building or operating complex, distributed systems in production. Self-directed — you can pick up an ambiguous problem, define the right solution, and ship it without hand-holding. Genuine interest in AI agent systems and what it means to build reliable, consequential automation. Prior experience at high-caliber engineering organizations (e.g., big tech, top-tier startups, or strong consulting/services backgrounds) is a plus. Compensation & Benefits Salary: $150,000 – $250,000 USD annually, depending on experience. Early-stage equity. Visa sponsorship is available where required. Location This role is on-site in San Francisco, CA . The team works together in person — remote work is not available for this position.
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