OpenRouter Inc. logo

Software Engineer, Platform

Job Overview

Location

Remote (US)

Job Type

Full-time

Category

Software Engineering

Date Posted

April 24, 2026

Full Job Description

đź“‹ Description

  • • Software Engineer, Platform role at OpenRouter Inc. focused on owning and scaling the infrastructure that routes and serves millions of LLM requests daily for enterprise AI workloads.
  • • Day-to-day responsibilities include owning and evolving edge and cloud infrastructure across Cloudflare, Google Cloud, and Vercel; scaling and operating data layers including Spanner, ClickHouse, and Postgres; optimizing performance for LLM inference under rapid traffic growth; partnering with engineering leadership on capacity, reliability, and cost; and setting standards for infrastructure operations, tooling, observability, and on-call practices as the team scales.
  • • OpenRouter is the leading AI routing and infrastructure layer enabling enterprises to access, manage, and optimize large language models across providers without lock-in or unnecessary cost, powering advanced AI teams globally.
  • • The role offers the opportunity to have broad impact in a high-growth environment, deepen expertise in large-scale distributed systems, shape operational excellence, and work directly on mission-critical AI infrastructure with minimal process between idea and production.

Skills & Technologies

TypeScript
PostgreSQL
AWS
Azure
GCP
Remote

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About OpenRouter Inc.

OpenRouter operates a unified API and routing platform that lets developers send requests to dozens of large-language-model providers—OpenAI, Anthropic, Google, Meta, open-source models and more—through a single endpoint. The service automatically handles authentication, quota management, load balancing, cost tracking and failover across vendors, while exposing standardized parameters and pricing. Users can switch or combine models without changing code, compare performance and cost in real time, and pay for all providers with a single account. The company also offers usage analytics, prompt caching and enterprise controls, positioning itself as an infrastructure layer for teams building AI-powered products.

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