Founding Full-Stack Engineer

Founding Full-Stack Product Engineer (AI-Native) On-Site | San Francisco | Full-Time $160K–$220K base + meaningful equity H-1B transfers supported The Bar This is a founding engineer seat at an early-stage AI company building core infrastructure for LLM-powered systems. If you need tight requirements, stable roadmaps, or a slow ramp, this is not the role. If you ship fast, think clearly, and believe AI-native development changes how software should be built — keep reading.

What Youll Own End-to-end product engineering: backend, frontend, infrastructure AI-driven product features (context engineering, internal GenAI tooling) Telemetry, observability, and system intelligence Direct interaction with founders and early customers Fast iteration under incomplete information You will regularly switch between products, systems, and customer realities. That's the job. Non-Negotiables 5+ years building and shipping real products as a full-stack engineer Strong backend bias (60/40 backend/frontend) Production experience with TypeScript, Node, Next.js Startup experience where priorities changed weekly — and you still shipped You actively use AI tools in your daily workflow (not interested in learning) Clear, concise communicator — in writing and conversation Strong Signals Seed to Series A startup experience Experience with developer tooling, telemetry, or infra-adjacent systems Public technical thinking (blog, GitHub, X, talks) Evidence of learning velocity over pedigree Red Flags (We Will Screen Out) Long resumes with vague impact Pure big-tech backgrounds without recent startup experience Engineers are optimized for promotion cycles instead of ownership Low-intensity, low-urgency working styles Candidates who talk about AI but don't use it Environment In-person, 5 days/week in San Francisco High-trust, high-expectation culture Not a 9–5 shop — consistency and output matter Small senior team, direct founder access Interview Process Founder screen (~15 minutes) Final on-site loop (up to 4 hours) Outcome Best case: you help define a category and build systems that scale with AI.

Worst case: you leave with elite experience, a powerful network, and accelerated growth.