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Vectoral

Detects and blocks LLM token abuse

Founding Member of the Technical Staff

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

  • Be a generalist who can choose the appropriate layer for a problem and work across the stack.
  • Have strong backend fundamentals in Go or be able to ramp up quickly.
  • Have deep familiarity with Postgres and ClickHouse, including query plans, indexes, and load.
  • Have experience carrying production on-call for a latency-sensitive service and a track record of debugging difficult, non-obvious incidents.
  • Bring an adversarial mindset to building systems facing motivated adversaries.

Responsibilities

  • Work end-to-end across the stack to support mission-critical, high-throughput risk decisions for customers.
  • Own major technical decisions and ship code that serves production users.
  • Build a Go-based ingestion and scoring API.
  • Build signals pipelines with cost/velocity, network, behavioral, and prompt-content feature extractors mapped to an append-only feature schema shared with the model trainer.
  • Build a Python LightGBM trainer that fits and Platt-calibrates per-customer models, with a linear fallback scorer.
  • Build a browser sensor in vanilla JavaScript that detects Puppeteer, Playwright, and stealth plugins, combining automation signals with HMAC-signed short-lived tokens for server-side decisions.
  • Build the customer dashboard using Next.js, React 19, and Tailwind.
  • Shape the product, architecture, and company culture from the ground up.

Desired Qualifications

  • Familiarity with machine learning, including gradient boosting, calibration, feature engineering, and label scarcity.

About the Company

Vectoral

Detects and blocks LLM token abuse

Vectoral protects large language model endpoints from token reselling and API abuse. It monitors incoming requests to detect and block reseller traffic before tokens are spent. The platform uses behavioral fingerprints, request-graph clustering, and abuse-network intelligence to score and categorize each request as blocked, challenged, or clean, and logs the trigger signal. It lets teams rank users by spend, block abusive accounts, and set actions such as throttling, key rotation, or refusing calls inline. This helps providers prevent unauthorized use and minimize API costs. Vectoral aims to reduce fraud and abuse in generative AI services by stopping credential leaks and token resale at the gateway.

Company size
1-10
Company stage
Not listed
Total funding
Not listed
Headquarters
San Francisco, CA
Founded
2026

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