AI Cyber Intelligence Engineer

Dream is a pioneering AI cybersecurity company delivering revolutionary defense through artificial intelligence. Our proprietary AI platform creates a unified security system safeguarding assets against existing and emerging generative cyber threats. Dream's advanced AI automates discovery, calculates risks, performs real-time threat detection, and plans an automated response. With a core focus on the ""unknowns,"" our AI transforms data into clear threat narratives and actionable defense strategies.

Dream's AI cybersecurity platform represents a paradigm shift in cyber defense, employing a novel, multi-layered approach across all organizational networks in real-time. At the core of our solution is Dream's proprietary Cyber Language Model, a groundbreaking innovation that provides real-time, contextualized intelligence for comprehensive, actionable insights into any cyber-related query or threat scenario.

We’re looking for a hands-on AI Cyber Intelligence Engineer – in the domain of network attack surface. Someone who lives and breathes network security, loves exploring how attackers move through real environments, and is excited to shape how AI can automate and extend that process.

In this role, you’ll analyse real-world environments, identify potential attack vectors, and work closely with our AI engineering teams to translate your domain expertise into actionable, intelligent workflows. You’ll play a key role in guiding how our platform “learns” to think and act like a top-tier security analyst.

Responsibilities:

• Analyse complex network environments, configurations, and security controls to map topologies and identify weaknesses or lateral movement paths.
• Research and model attacker behaviour and detection strategies, guiding how AI systems reason about threat scenarios.
• Collaborate with AI engineers to shape agentic flows - defining the logic, prompts, and reasoning patterns that replicate expert investigative thinking.
• Conduct hands-on assessments of enterprise networks to validate and improve automated detection and response capabilities.
• Stay current on evolving attack tactics, network security technologies, and AI-driven threat detection trends.
• Act as a security subject matter expert for cross-functional engineering teams.
  
  

• 5+ years of experience in cybersecurity research, threat analysis, or network security engineering.
• Deep understanding of networking technologies, protocols, and security principles.
• Strong background in network-based attacks, lateral movement, and detection techniques.
• Experience with analysing traffic, packet captures, and network topologies.
• Curiosity and understanding of modern AI techniques -or strong motivation to learn and work closely with AI experts.
• Excellent communication and collaboration skills; comfortable working across disciplines.