Product Security Engineer - AI

Crusoe

1w ago 3 views 0 applications
San Francisco, CA - US Onsite
Competitive
Full-time
Security Engineer

Job Description

AI Security Engineer

Crusoe is on a mission to accelerate the abundance of energy and intelligence. We're building the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Join us and be part of the AI revolution with sustainable technology!

Ready to dive deep into securing the future of AI? As an AI Security Engineer at Crusoe, you'll be at the forefront of protecting our rapidly evolving AI ecosystem. You'll be the go-to technical expert for securing Large Language Models (LLMs), AI-powered platforms, and the infrastructure that powers them. This role is a blend of strategic thinking and hands-on execution, shaping the security landscape for our next generation of secure AI systems.

What You'll Be Doing:
AI Security SME & Strategic Partner: Be the technical leader and SME on the practical security of our AI and LLM ecosystem. Define the long-term technical roadmap for AI security architecture and drive high-impact cross-functional initiatives.
LLM Architecture & Design Ownership: Lead the design and implementation of highly secure Generative AI solutions for security applications, with a focus on architectural patterns like Retrieval-Augmented Generation (RAG).
AI-Powered Tooling & Automation: Architect and implement custom, AI-powered security tooling that automates threat detection, vulnerability analysis, and data access control, scaling from proof-of-concept to production.
Secure MLOps & Governance: Establish governance and processes for secure MLOps pipelines. Define standards for model versioning, deployment, and monitoring, ensuring they meet rigorous compliance and security requirements.
Threat Mitigation & Mentorship: Lead threat modeling exercises for novel AI systems, applying advanced security and privacy best practices. Mentor senior engineers on secure development practices in the GenAI domain.
System-Level Ownership: Drive the entire lifecycle of critical AI security projects from inception to deployment.

What You'll Bring to the Team:
3+ years of professional experience building and maintaining production systems, with strong Python programming skills and experience across the stack (backend/frontend).
Deep expertise in advanced Generative AI techniques, including implementing Retrieval-Augmented Generation (RAG), designing AI Agents and Multi-step Cognitive Processes (MCP), and building with workflow orchestration frameworks.
Proven ability to own the entire model lifecycle by designing and managing robust MLOps pipelines; experience with containerization (Docker), virtualization (VMs), and cloud platforms (AWS, GCP, Azure) is a plus.
Experience in designing, implementing, and fine-tuning custom LLMs, coupled with a strong understanding of NLP fundamentals, transformer architectures, PyTorch/TensorFlow, and data structures.
Strong curiosity about security, privacy, and threat modeling; a desire to safely "break" systems to secure them and apply best practices to AI pipelines and deployments.
Strong product sense for rapid iteration and refinement based on data, combined with a collaborative mindset to work closely with engineers, product managers, and security analysts in a fast-paced environment.

Benefits:
Industry competitive pay
Restricted Stock Units in a fast-growing, well-funded technology company
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
Employer contributions to HSA accounts
Paid Parental Leave
Paid life insurance, short-term and long-term disability
Teladoc
401(k) with a 100% match up to 4% of salary
Generous paid time off and holiday schedule
Cell phone reimbursement
Tuition reimbursement
Subscription to the Calm app
MetLife Legal
Company paid commuter benefit; $300 per month

Compensation:
Compensation will be paid in the range of $135,000 - $150,000. Restricted Stock Units are included in all offers. Compensation is determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

Crusoe is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.