Kinro Verified
Manufacturing, Building Materials, Automotive (RV)
Founding AI Engineer
San Francisco, California, United StatesOnsiteFull Time$120,000–$300,000 /yrPosted 1 month agoHidden Gem · YC Startup
Role summary
Kinro is seeking a Founding AI Engineer to build AI sales agents for the insurance industry, automating the sales process from qualification to binding. This hands-on role involves end-to-end development of AI product systems, leveraging agentic coding tools, and improving agent quality, latency, safety, and cost. The engineer will work across the full stack, including product surfaces, infrastructure, and customer deployments, with a focus on systems judgment and a strong product sense. Experience building AI products or LLM systems in production is required, along with an understanding of agentic system tradeoffs. Preferred experience includes AI systems safety, high-ownership product environments, and regulated industries.
**About Kinro**
[Kinro](https://bookface.ycombinator.com/company/31382) builds AI sales agents for the insurance industry, automating the full sales flow from qualification and quoting to recommendations and binding. Our north star is selling insurance in LLM platforms (ChatGPT, Gemini….)
Launch video:\
**What you'll do**
You will help define how Kinro builds software in the age of agents. This is a hands-on role for someone who has built AI products end-to-end, trusts agentic coding as a force multiplier, and can ship across product, backend, evals, and infrastructure with strong systems judgment.
* Build AI product systems end-to-end, from tool use and backend services to evals and production monitoring.
* Use agentic coding tools aggressively and responsibly: break down large problems, set guardrails, and review generated work with high standards.
* Improve agent quality, latency, safety, and cost through better architectures, feedback loops, and evaluation harnesses.
* Work across the stack wherever leverage is highest, including product surfaces, infra primitives, and customer deployments.
* Turn one-off lessons from production into reusable product and platform capabilities.
**What we're looking for**
* You have built AI products, agent workflows, or LLM systems end-to-end in production.
* You know when to trust an agent, when to intervene, and how to structure work so the agent succeeds.
* You understand tool calling, latency, reliability, security, and cost tradeoffs in agentic systems.
* 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 reliable for the end user.
**Nice to have**
* Experience with evals, model routing, prompt injection defenses, sandboxing, or other AI systems safety work.
* Experience in high-ownership product environments where engineers talk directly to users and ship quickly.
* Experience in fintech, insurance, or other regulated environments.
[Kinro](https://bookface.ycombinator.com/company/31382) builds AI sales agents for the insurance industry, automating the full sales flow from qualification and quoting to recommendations and binding. Our north star is selling insurance in LLM platforms (ChatGPT, Gemini….)
Launch video:\
**What you'll do**
You will help define how Kinro builds software in the age of agents. This is a hands-on role for someone who has built AI products end-to-end, trusts agentic coding as a force multiplier, and can ship across product, backend, evals, and infrastructure with strong systems judgment.
* Build AI product systems end-to-end, from tool use and backend services to evals and production monitoring.
* Use agentic coding tools aggressively and responsibly: break down large problems, set guardrails, and review generated work with high standards.
* Improve agent quality, latency, safety, and cost through better architectures, feedback loops, and evaluation harnesses.
* Work across the stack wherever leverage is highest, including product surfaces, infra primitives, and customer deployments.
* Turn one-off lessons from production into reusable product and platform capabilities.
**What we're looking for**
* You have built AI products, agent workflows, or LLM systems end-to-end in production.
* You know when to trust an agent, when to intervene, and how to structure work so the agent succeeds.
* You understand tool calling, latency, reliability, security, and cost tradeoffs in agentic systems.
* 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 reliable for the end user.
**Nice to have**
* Experience with evals, model routing, prompt injection defenses, sandboxing, or other AI systems safety work.
* Experience in high-ownership product environments where engineers talk directly to users and ship quickly.
* Experience in fintech, insurance, or other regulated environments.
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