Founding Support Engineer

Companies are moving beyond simple chatbots to production agentic systems. These systems route between OpenAI, Anthropic, Google, and self-hosted models. They integrate dozens of tools via protocols like MCP. They orchestrate multi-agent workflows where agents coordinate with other agents.

The infrastructure to support this doesn't exist yet. You can't just duct-tape together a few API calls and call it production-ready.

You need a control plane that handles:

Intelligent routing with observability, cost policies, and fallback logic

Centralized tool and MCP server management with security and lifecycle controls

Agent orchestration with governance and guardrails

A unified compute layer to run self-hosted models, custom tools, and agents

AI Gateway is the control plane five composable components (Prompts, LLM Gateway, MCP Gateway, Guardrails, Agent Gateway) that handle routing, orchestration, and governance.

We're Series A, backed by Intel Capital and Sequoia. Companies like CVS, Mastercard, Siemens, Paytm, Synopsys, and Zscaler run production AI workloads on our platform.

About Role As a Support Engineer, you are the person these teams call when their production AI stack hits a wall. You are not answering how-to tickets for a SaaS tool. You are debugging MCP proxy scaling issues, RBAC and SSO configs, Gateway sizing, and guardrail behavior for engineering teams at some of the most sophisticated companies in the world, across finance, healthcare, retail, and more. Few support roles anywhere put you this close to how enterprise AI actually gets built and run.

What you will do

Be the first and most trusted line of response when enterprise customers hit issues in production, across severities from routine questions to P0 incidents.

Get hands-on with real infrastructure problems, Gateway configuration, MCP proxy scaling, RBAC and SSO, guardrails, sizing, not surface-level troubleshooting.

Own tickets to actual resolution, not just closure, and know the difference.