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AI Rate Limiting Engineer

Hudson Larsson

Full-time · Job · Los_Angeles

About the role

AI API platforms get abused in creative ways — one client sends 10,000 requests in a burst, another distributes the same volume across 100 API keys, a third uses the free tier for production traffic by catching and retrying rate-limited requests. Our rate limiting system needs to be smarter than the abuse patterns while never blocking legitimate high-volume clients. You'll build the adaptive rate limiting infrastructure: per-client quota management with burst allowances, abuse pattern detection that identifies coordinated evasion across multiple keys, fair queuing that prevents one client's burst from degrading service for others, and the pricing integration that automatically adjusts limits based on client tier and usage patterns. Rate limiting sounds simple until you realize that every decision affects revenue. Too aggressive and you lose clients. Too permissive and you subsidize abuse. You'll build the system that threads this needle at 50,000 requests per second.

Responsibilities

  • Build adaptive rate limiting for AI API platform at 50,000 RPS
  • Design abuse pattern detection identifying coordinated evasion across API keys
  • Implement fair queuing preventing burst traffic from degrading other clients
  • Integrate rate limits with pricing tiers for automatic quota adjustment
  • Monitor rate limiting effectiveness and false-positive block rates

Requirements

  • 3+ years in API platform engineering or infrastructure
  • Strong Python and FastAPI skills for high-throughput services
  • Kubernetes and Docker expertise for distributed systems
  • Understanding of rate limiting algorithms and queue theory
  • Experience with API abuse prevention and traffic management

Benefits

  • Fully remote — US West Coast hours
  • Competitive salary with equity
  • $2,000 learning budget
  • Protecting platform reliability for thousands of API clients

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Categories

MLOps & AI Infrastructure

Skills

python fastapi docker kubernetes aws

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Job Type

Full-time

Level

Mid-Level

Language

English

Salary Range

$80k – $100k / year

AI Expertise

MLOps & AI Infrastructure

Skills

python fastapi docker kubernetes aws sql

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