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Salary
≈ $145k – $302k per year (Estimated)
Location
Hybrid (San Francisco, United States, Lausanne, Switzerland)
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 28, 2026. First seen by Alion on Jul 27, 2026.

Overview
Company
Impact
Profile match
Compresr is an LLM context-compression API: send long context plus your query, get back a shorter context that keeps the answer-bearing tokens and drops the rest. Cut token cost and latency; at light compression, match or beat full-context accuracy. Python SDK, TypeScript SDK, or hosted HTTP API.

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)

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