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Product Security Engineer - AI

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Crusoe

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Location:
United States , San Francisco

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

135000.00 - 150000.00 USD / Year
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Job Description:

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.

Job Responsibility:

  • Act as 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
  • Lead the design and implementation of highly secure Generative AI solutions for security applications, focusing on architectural patterns like Retrieval-Augmented Generation (RAG)
  • Architect and implement custom, AI-powered security tooling that automates threat detection, vulnerability analysis, and data access control
  • Establish governance and processes for secure MLOps pipelines
  • Define standards for model versioning, deployment, and monitoring
  • Lead threat modeling exercises for novel AI systems
  • Apply advanced security and privacy best practices
  • Mentor senior engineers on secure development practices in the GenAI domain
  • Drive the entire lifecycle of critical AI security projects

Requirements:

  • 3+ years of professional experience building and maintaining production systems
  • 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
  • Strong understanding of NLP fundamentals, transformer architectures, PyTorch/TensorFlow, and data structures
  • Strong curiosity about security, privacy, and threat modeling
  • Strong product sense for rapid iteration and refinement based on data
  • Collaborative mindset to work closely with engineers, product managers, and security analysts in a fast-paced environment
What we offer:
  • 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

Additional Information:

Job Posted:
January 19, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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