AI Software Engineer

• Read vulnerability documentation
• Run tools against real infrastructure
• Determine exploitability in context
• Assess business impact
• Recommend concrete remediation

Their customers are seeing 80-90% reduction in vulnerability noise. That's huge.

The role

This is not an ML / AI research role. It's all about productionising AI systems that actually work in the real world, ingesting enormous volumes of data and solving complex problems at enterprise scale.

What you'll be doing:

• Designing and scaling LLM-powered agents operating in live cloud environments
• Architecting backend systems to support agent orchestration, evaluation and reliability
• Building production-grade services that integrate AI components with deterministic systems
• Making AI systems more reliable, observable and cost-efficient
• Optimising performance of distributed workloads
• Shipping customer-facing remediation tooling
• Expanding into AppSec (static analysis + software vulnerabilities)
• Working in a greenfield, high-ownership environment

You'll be expected to think in terms of:

• "How does this behave in production?"
• "How do we evaluate and monitor agent performance?"
• "What are the failure modes?"
• "How does this integrate cleanly with the rest of the stack?"

• Strong software engineering background and a mastery of Python
• Experience building and shipping LLMs or AI-agent systems in production
• Deep understanding of distributed systems and scalability trade-offs
• Deep AWS expertise
• Proven ability to operate in ambiguity and build from first principles

Bonus points for:

• Previous experience in big tech/companies moving massive data volumes as well as rapidly scaling start-ups
• Founding engineer experience
• Domain expertise in AI and/or Cyber Security, ideally understanding of vulnerability management
• Experience with agent frameworks (LangChain, LlamaIndex, DSPy, custom orchestration layers)
• Evaluation frameworks, tracing, observability for LLM systems
• Experience scaling systems under real load

This rapidly-growing, AI-native cybersecurity startup is building autonomous agents that investigate and remediate cloud vulnerabilities at enterprise scale. Their agents don't just classify alerts - they