Full-Stack Engineer

Full-Stack Engineer Location: San Francisco, CA (Onsite) Compensation: $150,000 – $250,000 base + 0.50% – 1.50% equity (founding-tier) Visa Sponsorship: None available — US citizen or visa holder only (no $100K H-1B) Employment Type: Full-Time About the Role The company is hiring 2 full-stack engineers to own big chunks of its AI Experience Generation product serving millions of users daily. The team is not prescriptive — you are given problems and expected to propose solutions and execute them, write your own PRDs and specs, talk to customers, and own features end to end. In-office Monday to Friday, with weekend pushes common. What You’ll Own Ship features on the Next.js / Golang AI Experience Generation product serving tens of millions of users daily Tune, optimize, and load-test servers as volume increases toward hundreds of millions of users per day Design data systems and ML training infrastructure that power automated experimentation at scale Work directly with founders and customers to design, implement, and deliver new experiences Own features end to end: write PRDs and specs, ship, test, and validate against real users Technical Stack Frontend: Next.js, TypeScript / JavaScript, React Backend: Golang, Python Infrastructure: AWS Requirements 0 to 7 years of software engineering experience with a full-stack range (both backend and frontend) Backend experience (Python, Go, or infrastructure like AWS) AND frontend experience (TypeScript / JavaScript / React or modern equivalent) One of the following: 1.5+ years at a Tier‑1 engineering team (FAANG, YC company, scale‑up); ex‑founder background; CS degree from an elite school; or other clear evidence of greatness (side projects, OSS, etc.) Open to relocating to SF and working Monday to Friday in office with frequent weekend pushes US citizen or visa holder (no $100K H‑1B) Nice to Have Built or owned 0 to 1 products or features from scratch Early engineer at a startup (roughly #1 to 15) or at an early‑stage startup / small product team LLM APIs shipped in production: prompting, RAG, agents, evals, AI workflows Data pipeline, ingestion, or analytics infrastructure (queues, async jobs, webhooks, ETL/ELT, workflow systems) Builds in public: writing, OSS, talks, Show HN, meaningful GitHub Benefits 0.50% to 1.50% equity for founding‑tier engineers All meals (breakfast, lunch, dinner) in office Gym membership at a nearby gym Quarterly off‑sites Build on the newest AI models even before public release #J-18808-Ljbffr David Joseph & Company