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OpenRouter

Unified API router for 400+ LLMs

AI Provider Operations & Support Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • Have 2–3 years of experience at a startup, in software engineering, product operations, or a similar area.
  • Be comfortable building with inference APIs, including Chat Completions, Responses, and/or Messages API.
  • Be able to read API documentation and troubleshoot using logs, cURL, or Postman.
  • Have experience with TypeScript/JavaScript and/or Python.
  • Demonstrate technical aptitude if applying without a computer science or engineering degree; the degree is not required.

Responsibilities

  • Build internal tools to accelerate the model onboarding process.
  • Build internal evaluations to quickly evaluate models and endpoints.
  • Document internal processes and prepare them for automation.
  • Run end-to-end launch playbooks for text, audio, image, video, embeddings, and reranker models, including scoping, test plans, latency and quality checks, pricing and quotas, documentation, and announcement assets.
  • Coordinate with model providers to integrate and quality-assure models and meet ship dates.
  • Maintain clear versioning and release notes, and manage deprecations and migrations.

Desired Qualifications

  • A degree in computer science or engineering is a plus, but is not required.

About the Company

OpenRouter

Unified API router for 400+ LLMs

OpenRouter provides a single OpenAI-compatible API that lets developers access and switch between 400+ models from 60+ providers, acting as an LLM router and aggregator. It routes each prompt to the best model based on price, latency, and performance with about 25ms of overhead, and handles unified billing, spend tracking, automatic failover, and enterprise features like zero-logging and the option to use a company’s own keys. It differentiates itself by offering broad multi-model access through one API, real-time usage data and leaderboards, and privacy controls that support enterprise needs, avoiding vendor lock-in. Its goal is to simplify the fragmented AI model ecosystem and provide dependable, multi-model access and transparent usage data for developers and enterprises.

Company size
51-200
Company stage
Acquired
Total funding
$153M
Headquarters
New York City, New York
Founded
2023

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