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.
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Security Engineer in Cambridge employer: present of AI
H Company is an exceptional employer for Product Designers, offering a dynamic work environment in London where innovation meets collaboration. With a strong focus on employee growth, the company encourages continuous learning and experimentation, particularly in the evolving field of AI design. The inclusive culture fosters open communication with users and cross-functional teams, ensuring that every designer's voice is heard and valued, making it a truly rewarding place to advance your career.
