Cyber AI Engineer - Remote

Responsibilities

• Designing and developing OpenAI-powered solutions for cyber security operations
• Building and integrating LLM, Generative AI and RAG solutions
• Developing AI assistants, copilots and agentic AI workflows
• Experimenting with multi-agent orchestration and knowledge retrieval
• Developing AI solutions using Python and modern AI frameworks
• Working with vector databases and retrieval technologies
• Integrating AI capabilities with SIEM, SOAR and wider cyber platforms
• Designing prompts and optimising LLM performance
• Building proofs-of-concept and technical prototypes
• Developing evaluation frameworks to test model performance, accuracy and reliability
• Applying Responsible AI and AI safety controls
• Ensuring solutions are built with security, scalability and operational requirements in mind
• Working with technical and non-technical stakeholders to turn ideas into workable solutions

Required Expereince

We're interested in engineers who have genuine hands-on experience with Generative AI and LLM technologies, ideally alongside an understanding of cyber security operations. You'll ideally bring experience across:

• OpenAI platform / API development
• LLMs and Generative AI
• RAG implementation
• Prompt engineering and optimisation
• AI assistants / copilots
• Agentic AI or multi-agent systems
• Python development
• Vector databases and knowledge retrieval
• AI evaluation and model testing
• API integration and secure software engineering
• Cyber Security / SOC environments
• SIEM / SOAR technologies
• Rapid prototyping and PoC development

The opportunity

This isn't a role where you'll simply be talking about what AI could do.

You'll be building it, testing it and proving whether it works against real cyber security use cases.

If you're an AI Engineer, GenAI Engineer, LLM Engineer or Python Engineer who wants to move deeper into Cyber AI, this is an opportunity to work on some genuinely interesting problems across AI, automation and security operations.