Full-Stack Engineer

About the Role

We’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 Own

1. Ship features on the Next.js / Golang AI Experience Generation product serving tens of millions of users daily
2. Tune, optimize, and load-test servers as the software 10x's volume to hundreds of millions of users per day
3. Design data systems and ML training infrastructure that power automated experimentation at scale
4. Work directly with founders and customers (Calm, Whisprflow, Locket, comparable) to design, implement, and deliver new experiences
5. Own features end-to-end: write PRDs/specs, ship, test, and validate against real users

Requirements

Must-Have

1. 0-7 years of software engineering experience with a full-stack range (both backend and frontend) 
2. Backend experience (Python, Go, or infrastructure like AWS) AND frontend experience (TypeScript/
3. JavaScript/React or modern equivalent) 
4. One of the following: 1.5+ YOE at a Tier-1 engineering team (FAANG, YC company, scale-up), ex-founder
5. background, CS degree from an elite school (Ivies, Waterloo, well-respected state schools), or other evidence
6. of greatness (side projects, OSS, etc.) 
7. Open to moving to SF and working Monday-Friday in the office with frequent weekend pushes 
8. US citizen or visa holder. No $100K H-1B. 

Nice-to-Have

1. Built or owned 01product/features from scratch
2. Early 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 workflows
3. Data pipeline/ingestion/analytics infra experience (queues, async jobs, webhooks, ETL/ELT, workflow systems)
4. Builds in public: writing, OSS, talks, Show HN, meaningful GitHub