Note: The job is a remote job and is open to candidates in USA. ngrok is an all-in-one cloud networking platform that secures, transforms, and routes traffic to services running anywhere. The Senior Full-stack Software Engineer will build and evolve AI Gateway components, enforce AI traffic policies, track usage and token consumption, and make AI behavior observable and explainable. The role also involves designing customer-facing abstractions and collaborating with Gateway, Customer Data, and Platform teams to deliver reliable production systems.
Responsibilities
- Build and evolve the AI Gateway: You’ll work on the AI-aware gateway components that classify and handle AI traffic in real time. This code runs directly in the request path and must be fast, safe, and predictable
- Own AI traffic policy enforcement: You’ll design and implement AI Gateway Traffic Policy Objects—rate limits, usage caps, and access rules specific to AI workloads. These policies exist to prevent runaway costs, misuse, and accidental exposure without breaking legitimate traffic
- Track AI usage and token consumption: You’ll build and maintain systems that accurately measure AI usage—requests, tokens, and related metadata—so customers can understand how their AI systems behave and what they’re consuming
- Make AI behavior observable and explainable: You’ll expose clear, trustworthy signals around AI traffic: what was allowed or blocked, which policies applied, and how usage accumulated. When customers ask “what happened?”, the gateway should already know
- Design abstractions that hide complexity: You’ll work with product and design to build AI-specific gateway primitives that feel intentional and safe, without leaking provider quirks or infrastructure details into customer workflows
- Ship systems customers trust in production: You’ll collaborate closely with Gateway, Customer Data, and Platform teams to ensure AI usage data, policy enforcement, and billing signals line up—so customers can turn these features on with confidence
Skills
- You're comfortable in a statically typed, compiled language such as Go, Rust, C++, or Java (with bonus points for Go)
- Experience in frontend engineering, including expertise in TypeScript, React, HTML, CSS
- You've worked with AI/LLMs and can appreciate their unique brand of edge-cases
- You care about developer experience and thoughtful abstractions
- You enjoy defining system behavior, not just plumbing
- You've thought about retries, limits, and costs before being asked
- You like systems that move complexity from the user to the system
- All candidates must be US-based, and legally authorized to work in the United States
- Applicants must be authorized to work in the United States on a permanent, ongoing basis without the need for current or future sponsorship
- AI platforms or inference infrastructure
- API gateways with product-level opinions
- Usage limits, quotas, or billing-adjacent systems
- Customer-facing observability tools
Benefits
- Attractive mix of salary and equity.
- Remote position for candidates outside of the Bay Area and a hybrid role for candidates within commuting distance to San Francisco.
- Full premiums covered on base healthcare, dental, and vision for you. Half covered for your dependents.
- Mental health and well-being support included.
- 401(k) with 100% match up to 3% of your salary and 50% match up to another 2%.
- Open, flexible vacation policy.
- Up to 16 weeks if you give birth, up to 8 weeks for new parents (birth, adoption, fostering—however your family grows).
- Annual professional development budget for books, courses, conferences, or whatever helps you level up.
- Annual home office/desk stipend.
- Co-working space stipend if you want to get out of your house but aren't near our SF office.
- 2x+ per week for employees onsite at our San Francisco office.
- Company offsites twice a year.
- Bi-annual reviews to make sure you're getting real feedback and staying competitively compensated.
Company Overview