AI Systems Engineer (Agent Platform)

Why this role matters right now

We believe the next generation of security platforms will be heavily agentic. This role is an opportunity to build that future from relatively early on.

What you'll do

• →Design and implement agentic workflows that can reason over security data and take actions.
• →Work with LLMs, tool calling, memory, and evaluation systems.
• →Integrate the agent deeply with our scanning data, findings, and customer context.
• →Build reliable, observable, and safe agent experiences.

What we're looking for

• →Hands-on experience building with LLMs and agent frameworks (LangChain, LlamaIndex, custom agents, etc.).
• →Strong software engineering fundamentals (you should be able to ship production-quality systems).
• →Interest or experience in security is a big plus.
• →Ability to think about evaluation, reliability, and failure modes of agentic systems.
• →Bonus: Previous work on security copilots, autonomous security tools, or complex data agents.

What success looks like in the first year

• →Ship a production-grade agent experience that customers actually use and find valuable.
• →Establish strong patterns for building reliable agents on top of security data.
• →Help define what 'AI-native security tooling' means for mid-market companies.