AI Provider Operations & Support Engineer
At a glance
Mid-level role at OpenRouter. Remote, United States · full-time · $215,000–$280,000 base.
remoteroles summary, based on the employer's posting.
What you'll do
- Build internal software that speeds up provider onboarding and create evaluations for models and endpoints
- Turn internal operating procedures into documented workflows that are ready for automation
- Run model releases from scoping and test plans through performance checks, pricing, quotas, documentation and launch materials
- Work with providers to connect and verify their models, then keep releases on schedule
- Track model versions and release notes, and handle migrations when models are retired
What you bring
- You have two to three years in a startup, software engineering, product operations or a comparable area
- You can build with inference APIs, read their documentation and investigate issues using logs and tools such as cURL or Postman
- You have worked with TypeScript, JavaScript or Python
- You bring demonstrated technical aptitude; a computer science or engineering degree is an added advantage
Who this fits
This role suits someone keen to work hands-on with AI models and improve the experience for developers. It is a remote position for someone based in the United States.
From the employer
About OpenRouter
OpenRouter is the open AI routing and infrastructure layer that enterprises use to access, manage, and optimize the best large language models across providers—without lock-in, capacity constraints, or unnecessary cost. We power some of the most advanced AI teams in the world by giving them the flexibility to move fast, scale confidently, and stay future-proof as models evolve.
As enterprise adoption of AI accelerates, OpenRouter sits at the center of how organizations operationalize LLMs across research, product, and production workloads.
About the Role
OpenRouter is an LLM marketplace that enables developers to use frontier models in one place. That means shipping frequent model launches and making integration dead simple.
We’re looking for an AI enthusiast to own model launches and provider onboarding. You’ll bring new models to market and drive the onboarding process for new providers. This is an ideal role if you love tinkering with AI models and want to build technical depth and work directly with all of the model labs and providers in the AI ecosystem.
Key Responsibilities
Tooling for benchmarks, onboarding and internal operations (~60%)
Build internal tools to help speed up the model onboarding process
Build internal evals to quickly evaluate models and endpoints
Document internal processes and prime them for automation
Model Launches & Provider Partnerships (~40%)
Run end-to-end launch playbooks for various model types (text, audio, image, audio, video, embeddings, and rerankers): scoping, test plans, latency/quality checks, pricing & quotas, docs, and announcement assets.
Coordinate with model providers to integrate, QA, and hit ship dates.
Maintain clear versioning and release notes; manage deprecations and migrations.
About You
Experience: 2-3 years at a startup, software engineering, product ops, or similar.
Technical Skills: Comfortable building with inference APIs, including Chat Completions, Responses, and/or Messages API; can read API docs and troubleshoot with logs/cURL/Postman. Experience with TypeScript/JavaScript and/or Python.
Mindset: Ambitious owner, fast learner, bias to ship. Passionate about AI and developer experience.
Education: CS/Engineering degree is a plus, not required with demonstrated technical aptitude.
What We Offer
A front-row seat to real-world LLM adoption and access to cutting-edge models.
Growth into specialized or senior roles as we scale.
Collaborative, high-ownership environment.
Competitive compensation, benefits, and equity.
If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone who is excited to join the team.
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