A managed implementation service that keeps company AI workflows running across model providers while controlling cost, routing, failover, and usage policy.
Added Jul 2, 2026
Last signal 0h ago
Teams are wiring multiple LLM? providers directly into separate services, agents, and automation workflows. When a provider rate-limits, has an outage, or becomes too expensive for routine prompts, production workflows fail or costs spike. The pain is operational: central policy, fallback chains, budget caps, observability, and token compression are missing or fragmented across services.
Offer a managed LLM? gateway setup and operations package for teams already using OpenAI, Anthropic, self-hosted models, or automation agents. The first version can be a service that installs and configures an existing gateway stack, defines routing policies, sets team budgets, adds fallback chains, and monitors failures and spend. Over time, the repeatable pieces can become a productized gateway configuration layer, reliability playbook, and managed control plane.
LLM? usage is spreading from prototypes into production services and agentic workflows, while provider outages, rate limits, and model price differences are becoming daily operational concerns. The emergence of many router projects suggests buyer awareness, but also fragmentation that creates demand for expert setup and ongoing management.
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About the Company 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 opera
Own the LLM gateway end-to-end : Set the roadmap and policy for the shared layer that routes every product surface to the models it depends on, from priority queueing to cost attribution to model access, and own its lifecycle from conception through execution.
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.
Multi-Vendor Orchestration: Strategically guide the integration, evaluation, and management of 6+ major LLM vendors and 50+ distinct models, optimizing for latency, cost, and reliability across different providers. Cross-Functional Alignment: Partner closely with product management, AI research teams, and executive engineering leads to align the gateway's roadmap with core product features and organizational goals.
You will own scalable, high-throughput gateway services and the platform capabilities that power them, model routing, tiered capacity management, chargeback, and observability, for a service that sits in the critical path of all LLM traffic at Grab. You will manage gateway features end-to-end. Independently build complex backend features — provider integrations, unified API endpoints, model onboarding, API key and identity management, rate limiting, tiering, and cost tracking, from conception through deployment.
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