Product Security Engineer - AI

Crusoe•San Francisco, CA

22d•$135,000 - $150,000

About The Position

Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About This Role: At Crusoe, the AI Security Engineer is central to ensuring the safety, integrity, and resilience of our rapidly evolving AI ecosystem. You will serve as the technical authority on securing Large Language Models (LLMs), AI-powered platforms, and the infrastructure that supports them—driving both strategy and execution for our next generation of secure AI systems.

Requirements

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.

Responsibilities

AI Security SME & Strategic Partner: Act as the technical leader and SME on the practical security of our AI and LLM ecosystem and 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, focusing 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, moving from proof-of-concept to production at scale.
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. Apply advanced security and privacy best practices, and mentor senior engineers on secure development practices in the GenAI domain.
System-Level Ownership: Drive the entire lifecycle of critical AI security projects.

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