Stealth AI-native security startup, Seed

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Practice

Engineering

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Own the agentic and data layers of a live AI security platform as it moves from investigation to automated remediation.

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About the company

AI-native security platform that unifies security and IT data into a semantic model, with agents that investigate, surface risk and act. Live with early customers. $7M seed, Series A expected pre-launch.

What you'll own

• Core agentic layer: natural-language querying, reasoning pipelines, agent-driven workflows
• The semantic data model behind consistent answers across security tools and datasets
• Backend, data ingestion and infrastructure work as needed
• Rapid iteration with security teams using the product daily in production
• The push from investigation to automated remediation

Who we're looking for

• 5+ years shipping production software, with strong fundamentals
• Has built productised AI systems: LLMs, agents, retrieval, evals
• Fluent in AI-driven development workflows, beyond experiments
• Comfortable across backend, data and infrastructure; startup experience preferred
• Bias for ownership and speed, with real energy in how you collaborate