AI Provider Operations & Support Engineer at OpenRouter

Confirmed open

OpenRouter is hiring a ai provider operations & support engineer focused on AI provider operations and support.

OpenRouter

Location: Remote
Employment: FullTime
Work arrangement: remote
Technologies: Python, JavaScript, TypeScript

Create a free application profile — Keep your skills and projects in a reusable profile. Private by default; you choose when to share. Apply for this job directly with the employer.

By continuing, you agree to processing needed to manage your account and profile. Privacy policy

Role overview

The AI Provider Operations & Support Engineer opening at OpenRouter is centered on Design, build or operate software and workflows for AI provider operations and support. The employer also lists Collaborate with product, engineering, customer and operations stakeholders. and Improve reliability, performance, testing, automation and documentation. These responsibilities define the practical scope more clearly than the job title: applicants should be ready to explain what they have built, supported or delivered that relates directly to this work. The listing summary says: OpenRouter is hiring a ai provider operations & support engineer focused on AI provider operations and support. The named technologies include Python, JavaScript, TypeScript.

The posting identifies Relevant professional experience in software, AI, operations, enablement or customer engineering. and Strong problem-solving, communication and systems-design skills. as relevant qualifications. Candidates should connect these requirements to evidence from their own work, including their individual contribution, technical decisions and outcomes. The listing describes the work arrangement as remote and gives the location as Remote (US) / United States. Confirm country eligibility, travel, employment terms and any details absent from this summary directly with OpenRouter before applying. This overview is based on the employer-provided posting; it does not infer team structure or expectations that the source does not state.

Responsibilities

Design, build or operate software and workflows for AI provider operations and support.
Collaborate with product, engineering, customer and operations stakeholders.
Improve reliability, performance, testing, automation and documentation.
Translate technical and customer requirements into maintainable systems.

Qualifications

Relevant professional experience in software, AI, operations, enablement or customer engineering.
Strong problem-solving, communication and systems-design skills.
Ability to work effectively in a remote, distributed environment.

Technology in this role

Python: The named technologies include Python, JavaScript, .
JavaScript: The named technologies include Python, JavaScript, .
TypeScript: The named technologies include Python, JavaScript, .
LLM: OpenRouter is an LLM marketplace that enables developers to use frontier models in one .
large language models: 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 .
CAN: can read API docs and troubleshoot with .
Postman: can read API docs and troubleshoot with .

Role-specific candidate guide

Preparation notes based on the employer’s stated responsibilities and qualifications.

Understanding the scope. This AI Provider Operations & Support Engineer position at OpenRouter is best assessed through the work described in the employer’s posting, rather than the title alone. The available role overview says: “The AI Provider Operations & Support Engineer opening at OpenRouter is centered on Design, build or operate software and workflows for AI provider operations and support. The employer also lists Collaborate with…” Read that statement together with the responsibilities below to understand the likely balance between delivery, coordination and technical decision-making. The role belongs to the AI and data area, but that label is only a guide to the work; the employer’s own requirements remain decisive. Before applying, check the original listing for reporting lines, product or team assignment, employment terms and any details that may have changed since this copy was checked. Where this page says a fact is not specified, treat it as an open question rather than an implied promise.

What the responsibilities signal. The posting specifically names “Design, build or operate software and workflows for AI provider operations and support.”; “Collaborate with product, engineering, customer and operations stakeholders.”; “Improve reliability, performance, testing, automation and documentation.”. For each duty, identify a project where you performed comparable work and be ready to describe the context, your own contribution, constraints, decisions, and measurable result. Explain how you moved from the initial need to implementation, review, release or operational follow-through, where those stages apply. If the work involved other teams or users, distinguish your decisions from the group’s contribution. Avoid presenting a technology keyword as proof by itself: connect.

Benefits

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.

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.

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.

Employer website

How to apply

Review the original posting and apply through the employer’s careers page.

View source and apply Apply directly

Source checked: 2026-11-08

Browse job categories

Python AI and machine learning engineer jobs in Vietnam