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About the Role

We are seeking a Security Engineer to ensure our innovation happens at speed without compromising the safety of our IP or our users. In this role, you will be building automated security pipelines and AI-specific guardrails that protect our frontier models and research data, critical for maintaining the integrity of our materials discovery engine and the trust of our global partners. As an early security hire, you will architect a "shift-left" culture where security is a fundamental product feature, ensuring our underlying infrastructure and world-class IP remain safely locked down as we scale.

Responsibilities

Secure the end-to-end ML lifecycle, implementing defenses against data poisoning and protecting proprietary model weights from theft.
Design and deploy prompt injection defenses and runtime firewalls to prevent unauthorized manipulation of LLM interfaces.
Implement AI Security Posture Management (AI-SPM) to monitor and catalog self-hosted models, internal training datasets, and proprietary endpoints.
Weave automated security “guardrails” directly into CI/CD workflows, including secret scanning, API exposure checks, and software composition analysis (SCA).
Codify security policies using Infrastructure as Code (IaC), ensuring all cloud resources are automatically compliant with global standards (e.g. GDPR, SOC2).
Manage secrets and vulnerability patching for containerized environments (e.g. Docker, Kubernetes) to ensure the research environment is resilient.
Design strict, least-privilege Identity and Access Management (IAM) controls to isolate sensitive training data and research workloads.
Lead incident response efforts by monitoring production logs for anomalies and collaborating with AI Researchers to deploy rapid fixes.
Empower the engineering team to own security by providing tools for local IDE security scanning and pre-commit hooks.
Act as a security educator, cultivating a culture of shared responsibility across AI, chemistry, and engineering teams.
Partner with researchers, chemists, and engineers to translate security requirements into practical workflows that support rather than slow down scientific work.

Requirements

Motivated by the mission of using AI for planetary-scale impact and understanding the high stakes of securing "deep tech" intellectual property.
3+ years of experience in a DevSecOps, Cloud Security, or Site Reliability Engineering role, preferably within a fast-paced startup or AI-centric company.
Proven experience building and securing CI/CD pipelines (e.g. GitHub Actions, GitLab CI, or Jenkins).
Strong proficiency in Infrastructure as Code (e.g. Terraform, Pulumi) and securing cloud environments (AWS, GCP, or Azure).
Deep understanding of container security and orchestration (Docker, Kubernetes).
Practical knowledge of security frameworks and how to implement them without slowing down development cycles.
Direct experience with AI-specific security tools or defending against LLM-specific vulnerabilities (OWASP Top 10 for LLMs).
Experience with AI Security Posture Management (AI-SPM) tools.
Relevant certifications such as AWS Certified Security, CSEP, or OSCP.
A background or personal interest in materials science, chemistry, or the intersection of AI and physical sciences.

Skills

DevSecOps
Cloud Security
Site Reliability Engineering
CI/CD pipelines
GitHub Actions
GitLab CI
Jenkins
Infrastructure as Code
Terraform
Pulumi
AWS
GCP
Azure
Container security
Docker
Kubernetes
Security frameworks
AI-specific security tools
LLM-specific vulnerabilities
OWASP Top 10 for LLMs
AI Security Posture Management (AI-SPM)
AWS Certified Security
CSEP
OSCP
Materials science
Chemistry
AI

Location

Cambridge
London
Amsterdam
Berlin

Work Type

Hybrid
Travel required

Experience Level

3+ years of experience

Salary/Compensations

Competitive salary

Benefits

Equity in CuspAI
28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays
26 weeks (primary caregiver) and 12 weeks (secondary caregiver) of parental leave at full pay
Professional development budget

About the Company

CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress.
Harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia.
Founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering.
Working on challenges including energy, clean water, the future of compute, and carbon capture.
Building a 'search engine' for next-generation materials.
Invites individuals to be part of a diverse, innovative team at the intersection of AI and materials science.
Creating impactful partnerships that drive innovation, scalability, and industry collaboration.
On the cusp of the on-demand materials era.

Equal Opportunity

CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace.
Does not discriminate on the basis of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding), veteran status, or any other basis protected by applicable law.
Actively encourages applications from all backgrounds and values the unique perspectives and contributions that diversity brings to the team.
Will provide reasonable accommodations during the interview process.