Security Engineer

present of AI; Cambridge; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Terraform

Kubernetes hardening

Least-privilege access

LLM security awareness

Job summary

present of AI seeks an early security hire who embeds automated protections into software build and deployment processes. The role requires hands-on work in DevSecOps, cloud security or site reliability, with CI/CD pipelines, infrastructure as code, containers and access controls.

The successful candidate will make security approachable for researchers and engineers without slowing their work, contributing to a secure AI platform.

Qualifications

• Hands-on DevSecOps security experience with practical tooling
• Experience securing CI/CD pipelines and IaC
• Familiarity with container security and access controls
• Ability to simplify security for researchers and engineers

Responsibilities

• Build automated protections into how software gets built and deployed
• Implement secure-by-default practices across CI/CD and IaC
• Educate researchers and engineers on secure workflows

Skills

DevSecOps

Cloud security

Site reliability

CI/CD pipelines

Infrastructure as code

Containers

Access controls

LLM security awareness

Tools

Terraform

Kubernetes

Job description

The role is an early security hire who builds automated protections into how software gets built and deployed, rather than reviewing things by hand. It asks for a few years of hands‑on work in DevSecOps, cloud security or site reliability, with solid skills in CI/CD pipelines, infrastructure as code, containers and access controls. A strong candidate can make security easy for researchers and engineers to follow without slowing their work.

How it fits the AI era

AI brings new things to protect, such as model weights, training data and chat‑style interfaces that can be tricked by crafted input. Much of the routine checking can be automated, but judging risk, responding to incidents and earning trust from researchers and chemists stays with people. The job is as much about teaching and building good habits as it is about tools.

How it builds AI experience

Someone in this role would get close to defending a real AI platform that finds new materials, including self‑hosted models and valuable research data. To build this experience beforehand, it helps to study the OWASP list of risks for language models, try out prompt injection defenses on a small project, and learn how model and dataset inventories are tracked. Showing interest in how AI is used in chemistry would also fit this company well.

Worth showing

• Infrastructure as code with Terraform
• Kubernetes and container hardening
• Least‑privilege access design
• LLM security awareness

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 CuspAI

An AI search engine for new materials that the company says turns a wanted set of physical properties into synthesizable chemical designs in months instead of years of lab trial and error.