Founding Engineer

Type: Full-time permanent contract or an Internship with a potential follow-up offer

Location: San Francisco or remote with future relocation to San Francisco (sponsored)

Start: ASAP

ABOUT US

- We're building state-of-the-art context compression. Our mission is to become the "Cloudflare for LLMs" — a compression layer embedded into most LLM pipelines by default.

- We're a team of ex-EPFL MSc/PhDs from dlab. We started by publishing papers, then got into YC and started making money helping companies cut their LLM costs.

- We run the business like a research lab: form hypotheses, kill the ones that don't work, double down on the ones that do.

ABOUT YOU:

- A cracked full-stack engineer who enjoys a high-paced startup environment, takes pride in what they build and owns it end to end.

- Solid understanding of cloud infrastructure, deployment, and production systems on AWS.

- Python/basic ML Ops skills. Experience in scaling AI infra products is a plus.

- Proactive, strong communicator with fast response time, team player

TECH REQUIREMENTS

- Strong backend engineering fundamentals

- Experience with concurrency and distributed systems

- Experience deploying and scaling production backend services on AWS

- Ability to work across systems (Python + light frontend)

- Excellent Claude Code (or similar) user

NICE TO HAVE

- Open-source contributions

- Startup experience

- OAuth / API auth flows

STACK

- Backend: Python, FastAPI, PostgreSQL (Supabase), Redis, AWS

- Frontend: Next.js, React, TypeScript

- Tools: GitHub, Docker, Sentry, GitHub Actions

INTERVIEW PROCESS

1. Intro call (20 min)

2. Practical technical interview (60 min)

3. Cultural interview (30 min)