Kinro is an autonomous insurance brokerage. Software runs the business: it talks to business owners, prepares quotes, places policies, and services them, with people stepping in only where judgment or licensing requires it. You will build that core. This is a hands-on role for an engineer who has shipped AI products end to end and wants their code to run a real company.
WHAT YOU'LL DO
Build the systems that operate the brokerage: customer conversations, quoting, placement, and policy servicing, designed to run without a human in the loop.
Own features end to end, from backend services and model integration to the monitoring that proves they can be trusted unattended.
Push the boundary of what runs autonomously by making our automation faster, safer, and more reliable.
Work across the stack wherever the leverage is highest, from customer-facing surfaces to core infrastructure.
Turn every lesson from production into a system that handles the next case without you.
WHAT WE'RE LOOKING FOR
You have built AI products or LLM systems end to end in production.
You think in terms of automation: when a system can act alone, when it should escalate, and how to widen the first category over time.
You understand the practical tradeoffs of language-model systems: latency, reliability, security, and cost.
You can reason across the stack: application code, APIs, databases, cloud systems, and operational tooling.
You have strong product taste and care whether something feels simple, fast, and trustworthy.
NICE TO HAVE
Experience with evaluation systems, model routing, or safety work in production AI.
Experience in high-ownership environments where engineers talk directly to customers.
Experience in insurance, fintech, or other regulated industries.