Job description
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/Ph. Ds 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
- Intro call (20 min)
- Practical technical interview (60 min)
- Cultural interview (30 min)
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