AI Provider Operations & Support Engineer
Join OpenRouter as an AI Provider Operations & Support Engineer to drive model launches and provider onboarding in a collaborative environment.
Posted by employer 7 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
OpenRouter enables developers to use frontier models in one place, operationalizing LLMs across various workloads.
Requirements
- Experience
- 2–3 years
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Benefits
Joblaze summary
In this role, the AI Provider Operations & Support Engineer at OpenRouter is responsible for managing the onboarding of new AI models and providers, ensuring smooth integration and timely launches. The position requires proficiency with inference APIs and familiarity with programming languages like TypeScript or Python, making it suitable for candidates with a background in software engineering or product operations. This role is ideal for someone who is passionate about AI and eager to contribute to a fast-paced startup environment focused on advancing LLM technology.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from OpenRouter's career page.
- OpenRouter has 23 other open roles including Strategic Account Executive , Technical Recruiter (Fixed-Term Contract), Software Engineer, Platform.
- 6517 active Python roles on Joblaze right now.
- 5136 active AI/ML roles on Joblaze right now.
- 1939 active TypeScript roles on Joblaze right now.
- Typical Python salary we track runs $125,000–$190,800 (median $160,000, across 3225 roles). See Python salary trends
Quick facts
- How much experience is required?
- 2–3 years of relevant experience for this AI Provider Operations & Support Engineer role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, JavaScript, Python, TypeScript.
- What seniority level is this role?
- OpenRouter targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this AI Provider Operations & Support Engineer role at OpenRouter.
From the original posting
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.