Cyber AI Engineer - Remote

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