Job title: Cyber AI Engineer - OpenAI / LLM / RAG
Location: Remote
Rate: £400 - £425 per day
Contract: 6 months rolling
Candidates must be willing and eligible to go through SC security clearance for this role.
Want to work at the intersection of Generative AI and Cyber Security? We're looking for a Cyber AI Engineer to help turn cutting-edge AI capabilities into practical solutions for Security Operations Centres (SOCs).
This is a hands-on role focused on prototyping, experimentation and proof-of-concept development - taking ideas from discovery through to working AI solutions that could genuinely augment cyber analysts and operations.
You'll work closely with an AI Solution Architect and Business Analyst, translating cyber use cases into secure, measurable and technically viable AI solutions.
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 developmentYou don't need to have done everything above. Strong practical GenAI engineering experience combined with an interest in applying AI to cyber security is what matters.
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
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