Job Specifications
AI Engineer | LLMs, Cybersecurity & Cloud | Greenfield AI R&D in Cybersecurity
Remote work with occasional travel (Leeds & Chester)
Salary: £75,000 - £90,000
The Role
You will join a growing technology business at a pivotal stage in its AI journey. These are the first dedicated AI engineering hires in the team, so you will have the chance to shape how AI is designed, built, and deployed across a live cybersecurity product environment.
Initially, your focus will sit within the cyber division, where you will work on AI-driven initiatives tied to vulnerability management, penetration testing workflows, remediation checking, intelligent reporting, and automation. Longer term, there is scope for the role to expand into wider product areas across the group.
This is a hands-on engineering role with real ownership. You will take AI projects from concept through to production, not just build prototypes and hand them over. You will be expected to design, develop, deploy, monitor, and maintain scalable AI services that integrate into existing platforms via APIs and microservices.
What They’re Looking For:
The key requirement is strong, real-world AI engineering capability. They need someone who can build and deliver, not someone who has only experimented on the edges of AI.
You will ideally bring:
AI/ML engineering experience in production environments
LLM development and orchestration experience
Python development
Cloud platform experience across AWS or Azure or GCP
End-to-end delivery experience from idea and prototyping through to deployment and support
Experience building scalable services and APIs
Strong communication skills and the ability to work closely with developers and stakeholders
A self-starting approach with the confidence to own your workload and move initiatives forward
Cybersecurity knowledge is not essential. That can be taught. The non-negotiable is deep AI and machine learning expertise.
What You’ll Work With
You will work across a modern AI and product environment, with plenty of room to influence standards and tooling as the function matures. Likely technologies and themes include:
Python development
OpenAI models
Anthropic models
AWS Bedrock
LLM workflows
Agentic AI systems
Machine learning algorithms
API-led microservices
Cloud platforms
Monitoring, management, and alerting
Vulnerability management workflows
AI-assisted report generation
Security testing automation
The current product direction is centred on building AI capabilities as services outside the main platform, then integrating them back in via APIs. That means the work has a genuine R&D feel, but always with a clear path into production.
Nice to Haves
These are helpful, but not essential:
Cybersecurity experience
Penetration testing exposure
Vulnerability management knowledge
Agent-based system design
Content analysis or anomaly detection experience
MLOps understanding
Enterprise environment experience
Change control awareness
KPI or ROI tracking experience
Leadership or mentoring capability
Product or solutions thinking
Why Join / Projects
You will be joining very early in the AI build-out, which means high ownership, a broad remit, and the chance to make a visible impact.
Early projects are expected to include:
AI-powered remediation checking following penetration tests
Worker or agent-style services that perform specific testing tasks and report findings back
LLM-powered reporting and consultant support tools
AI modules for external, web, cloud, and later internal testing use cases
Statistical analysis and machine learning models for wider business applications over time
Reusable AI services that can eventually support multiple products and business units
This role will suit someone who enjoys solving complex problems, working in ambiguity, and building things properly from the ground up. There is likely to be a blend of seniority across the hires, so candidates with leadership potential or experience guiding others will be particularly valuable.
You will report initially into the cyber product and technology function, with close collaboration across product, architecture, engineering, and technical leadership.
AI Engineer | LLMs, Cybersecurity & Cloud | Greenfield AI R&D in Cybersecurity
About the Company
We are Prism Digital, your DevOps and Cloud talent partner.
Proud sponsors and co-organisers of the London DevOps meetup group.
We are a niche consultancy with a tight focus on driving quality over quantity. We pride ourselves on our consultative approach, our extensive knowledge of the DevOps, Cloud and infrastructure sector and most importantly how important great talent is to help your company grow and succeed.
We offer:
• Expertise in Cloud (AWS, Azure, GCP), Linux, Windows, CI/CD, Configuration Management, IaC, Cont...
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