AI Software Engineer

Job Title:

AI Engineer / Software Engineer (Backend) Salary:

up to £135k / €155k Equity : up to 0.2%, currently valued at $250k (aiming to ~x10 in 3-4 years) Location:

fully remote anywhere in Europe (quarterly team get togethers) Company:

Cyber Security SaaS start-up building

AI agents

to identify and resolve cloud vulnerabilities Team : ~30 Funding : $30m+ (Series A)

The company 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: 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?”

✅ Must have requirements: 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