Security engineer, application security (UK)

present of AI; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

present of AI is seeking a security engineer to embed application security into an AI platform from design onward, running threat models with product teams and setting up scanning and code review in the build pipeline.

The ideal candidate has hands-on application security experience on large production systems, can read code in multiple languages, and explains risk clearly to engineers and product people, favoring practical fixes over blocking work.

Qualifications

• Hands-on security work on large production systems.
• Reads code in more than one language.
• Experience running threat modeling with product teams.
• Familiar with SAST/DAST in CI/CD pipelines.
• Ability to explain risk clearly to engineers and product people.
• Prioritizes practical fixes over blocking work.

Responsibilities

• Embed security into AI platform design from the outset.
• Run threat models with product teams and security reviews.
• Set up scanning and code review in the build pipeline (CI/CD).
• Balance automation with necessary manual reviews to avoid bottlenecks.

Skills

Application security

Threat modeling

SAST/DAST

Code review

Multi-language

AI security basics

CI/CD security

Risk communication

Tools

CI/CD tooling

Job description

Security engineer, application security (UK)

The role asks for someone who can build security into an AI platform from the design stage onward, running threat models with product teams and setting up scanning and code review in the build pipeline. A strong candidate brings several years of hands on application security work on large production systems, reads code in more than one language, and knows when to automate checks versus review by hand. The person also needs to explain risk clearly to engineers and product people and to favor practical fixes over blocking work.

How it fits the AI era

Much of the routine scanning, triage and pattern matching can be handled by automated tools and AI agents, which frees the engineer to focus on design reviews, threat modeling and judgment calls on novel risks. The work shifts toward securing AI systems themselves, including agents, data pipelines and model training environments, where attack paths are less well known. What stays human is the ability to reason about business logic, weigh risk against delivery speed, and persuade teams to act.

How it builds AI experience

Working here means gaining direct exposure to securing LLM based applications and agent systems grounded in company data, plus building automation that uses AI agents to speed up security work. That experience is hard to get elsewhere and maps well to a growing field. Someone preparing for this role could build it by studying common LLM attack patterns, practicing threat modeling on AI features, and getting comfortable with security tooling in CI pipelines.

Worth showing

• Application security on production systems
• Threat modeling with product teams
• SAST and DAST in CI/CD
• Code review across languages
• LLM and AI security basics

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Writer

Writer is an enterprise AI platform for building and supervising AI agents grounded in company data, per the company.