Founding Engineer

Compresr • San Francisco, CA

3d • Hybrid

About The Position

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.

Requirements

• Solid understanding of cloud infrastructure, deployment, and production systems on AWS.
• Python/basic ML Ops skills.
• 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 Haves

• Experience in scaling AI infra products.
• Open-source contributions.
• Startup experience.
• OAuth / API auth flows.

Responsibilities

• Build state-of-the-art context compression.
• Act as a full-stack engineer, taking pride in what they build and owning it end to end.
• Deploy and scale production backend services on AWS.
• Work across systems, including Python and light frontend development.
• Be a proactive, strong communicator with fast response time and a team player.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level