C
Security Engineer
Contract type
Ongoing
Work mode
Hybrid · Cambridge, United Kingdom · London, United Kingdom
Experience
Mid-level · 3+ years
Job description
Security Engineer at CuspAI responsible for building automated security pipelines and AI-specific guardrails to protect frontier models, research data, and infrastructure. The role is an early security hire focused on architecting a shift-left security culture across the ML lifecycle and cloud environments.
At a glance
- Employment
- Full-time · Employee (employment agreement)
- Work mode
- Hybrid · Cambridge, United Kingdom · London, United Kingdom
What you'll do
- 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 into CI/CD workflows, including secret scanning, API exposure checks, and software composition analysis (SCA)
- Codify security policies using Infrastructure as Code (IaC), ensuring cloud resources are automatically compliant with global standards (e.g. GDPR, SOC2)
- Manage secrets and vulnerability patching for containerized environments (e.g. Docker, Kubernetes)
- 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 the AI, chemistry, and engineering teams
- Partner with researchers, chemists, and engineers to translate security requirements into practical workflows
What we're looking for
- Motivated by the mission of using AI for planetary-scale impact and understand 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
Nice to have
- 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
Benefits
- A competitive salary
- Equity in CuspAI
- 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays
- 'Gold Standard' parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay
- Professional development budget
- Solve meaningful problems
- True interdisciplinary teamwork
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About CuspAI
The frontier AI company on a mission to solve the breakthrough materials needed to power human progress
CuspAI is a frontier AI company working at the intersection of AI and materials science, building a 'search engine' for next-generation materials. Its founding team is comprised of world-class researchers in AI, chemistry and engineering.
Mission
To solve the breakthrough materials needed to power human progress by harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia
Key facts
- AI and materials science
- 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
What they value
- Diverse and inclusive workplace
- Collaboration
- Shared responsibility