Software Engineer (Agent Infra)

Hinoki SecuritySan Francisco, CA
$200,000 - $300,000

About The Position

AI is collapsing the cost of offense. What used to require a skilled exploit developer can increasingly be automated, and defenders are still working from tooling that was designed two decades ago: tools that produce endless lists of findings without telling anyone what actually matters or what to do about it. Hinoki is building the AI-native platform that fixes this. We continuously map an enterprise's real exposure, figure out what is genuinely dangerous in the customer's specific environment, and drive the remediation through to verified resolution. Old scanners produce lists. We produce fixes. We're backed by Andreessen Horowitz and led by a second-time security founder, most recently from Google. The platform is already in production at Fortune 500 enterprises. This is a critical engineering hire with broad ownership over core platform infrastructure. Depending on your strengths, you may lead the systems that orchestrate our research agents, the data layer that models a customer's environment in real time, the verification surfaces that prove our agents' work is correct before anything reaches a customer, or the reporting surfaces where our hard-work translates to CISO-level impact.

Requirements

  • Three to six years of engineering experience
  • Experience with AI agents in production (real autonomous systems with multi-step reasoning, tool use, memory, evaluation, and failure handling)
  • Distributed systems experience (shipped systems with real failure modes: leases, retries, idempotency, blast-radius reasoning)
  • Production depth in at least one of AWS, Azure, or GCP
  • Experience with AI-native workflow (Claude Code, Codex, or Cursor in daily loop)
  • High agency (ability to read a plan doc and ship, fix what's broken regardless of whose code it is)
  • Taste for small, reversible changes

Nice To Haves

  • Ability to articulate where AI tools help and where they don't

Responsibilities

  • Lead systems that orchestrate research agents
  • Develop the data layer that models a customer's environment in real time
  • Build verification surfaces to ensure agent work is correct
  • Create reporting surfaces for CISO-level impact
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