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OpenRouter seeks a technical front-line engineer to support major customers, tracing issues from initial debugging through escalation. You will read logs, differentiate provider or gateway faults from customer code, and craft small reproduction scripts to confirm bugs.
The role emphasizes business impact consideration, documenting findings and building playbooks to improve resilience across AI model routing and gateway operations.
This role is the technical front line for the company's biggest customers, handling inbound issues and incidents from first debugging through to escalation. A strong candidate can read logs and stack traces, tell apart customer code problems from gateway or upstream provider faults, and write small reproduction scripts to confirm a bug. The work also calls for judging issues by business impact, not just severity, and turning findings into docs and playbooks.
The product itself routes traffic across many AI models, so the daily work is about keeping AI applications stable and explaining where failures come from. AI tools help with debugging and automation, but calm judgment during outages and clear updates to executives and developers stay human. The role sits where model behavior, infrastructure, and customer code meet.
Working here builds hands on knowledge of how LLM requests flow through a gateway, how provider errors differ from platform latency, and how tokens and context windows affect usage. Candidates can prepare by tracing real API calls, reading streaming responses, and practicing log analysis across providers. Familiarity with model provider differences and token usage reporting helps.
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
OpenRouter is a unified API gateway and marketplace that routes requests across hundreds of AI models from many providers, per the company.