Product Security Engineer - AI

Crusoe Energy Systems LLC; San Francisco (CA); On-site; USD 135,000 - 150,000; Full time

Benefits offered by this job

Industry competitive pay

Restricted Stock Units

Health insurance options

Paid Parental Leave

401(k) with match

Tuition reimbursement

Job summary

A leading technology firm in San Francisco is looking for an AI Security Engineer to ensure the safety and integrity of their AI systems. You'll serve as a technical authority, leading secure AI solutions and MLOps governance. The position requires expertise in Generative AI, Python programming, and robust security practices. Benefits include competitive pay, stock options, and comprehensive health insurance. Join us in driving innovation with responsible technology.

Qualifications

• 3+ years of experience building and maintaining production systems.
• Deep expertise in advanced Generative AI and architecture design.
• Proven ability to manage robust MLOps pipelines.

Responsibilities

• Act as the SME on AI and LLM security.
• Lead design of secure AI solutions.
• Establish governance for MLOps pipelines.

Skills

Python programming

Generative AI techniques

Threat modeling

MLOps pipelines

Containerization (Docker)

NLP fundamentals

Tools

AWS

GCP

Azure

PyTorch

TensorFlow

Job description

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.

What You’ll Be Working On

• 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.

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 to be 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. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.