Full-Stack Engineer

About the RoleWe’re hiring 2 full-stack engineers to own big chunks of the AI Experience Generation product serving millions of users daily. You'll add features to the Next.js frontend, ship scalable Golang code serving thousands of requests per second globally, tune and load-test servers as the team 10x's user volume from tens to hundreds of millions per day, and design data systems plus ML training infrastructure that power automated experimentation at scale. The team is not prescriptive about engineers: you'll be given problems and expected to propose solutions and execute them. Pure backend or pure frontend specialists are not the target right now. You'll write your own PRDs/ quick specs, talk to customers, and own features end-to-end. You’ll be in- office Monday-Friday, with weekend pushes common.What You'll OwnShip features on the Next.js / Golang AI Experience Generation product serving tens of millions of users dailyTune, optimize, and load-test servers as the software 10x's volume to hundreds of millions of users per dayDesign data systems and ML training infrastructure that power automated experimentation at scaleWork directly with founders and customers (Calm, Whisprflow, Locket, comparable) to design, implement, and deliver new experiencesOwn features end-to-end: write PRDs/specs, ship, test, and validate against real usersRequirementsMust-Have0-7 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+ YOE at a Tier-1 engineering team (FAANG, YC company, scale-up), ex-founderbackground, CS degree from an elite school (Ivies, Waterloo, well-respected state schools), or other evidenceof greatness (side projects, OSS, etc.) Open to moving to SF and working Monday-Friday in the office with frequent weekend pushes US citizen or visa holder. No $100K H-1B. Nice-to-HaveBuilt or owned 01product/features from scratchEarly engineer at a startup (roughly #1-15) or worked at an early-stage startup / small product team LLM APIs shipped in production: prompting, RAG, agents, evals, AI workflowsData pipeline/ingestion/analytics infra experience (queues, async jobs, webhooks, ETL/ELT, workflow systems)Builds in public: writing, OSS, talks, Show HN, meaningful GitHub Fill in the form, we will contact you...