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: ~40

💸 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