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)