Founding Engineer

Compresr

San Francisco, UShybridPosted Jul 27, 2026
Posting intelligenceActively listedReposted 2×, possible evergreen/ghost posting

Skills

postgrescloudflaretypescriptsupabasenextdockergithubsentrypythonredisreactawsllmjavascriptml

About the role

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.

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

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)

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