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Remote option, mid-level (5+ years), metro location, and broad AI/security skillset drive high competition.
Specialized AI platform security, multi-tenant isolation, and threat-modeling needs make cross-industry fit highly sensitive.
Explicit 5+ years requirement plus mandated platform security, auth, and LLM-related skills make shortlisting highly strict.
Own substantial security components of Esko's AI Platform including design and implementation of identity, authorization, and policy enforcement controls.
Build protections against AI-specific threats such as prompt injection, unauthorized access, and data leakage with mechanisms like approval gates and execution limits.
Develop audit, monitoring capabilities, conduct threat modelling and adversarial testing to ensure traceability and detection of high-risk activities.
5+ years of software engineering experience securing cloud, distributed, or platform services including authentication, authorization, and multi-tenant isolation.
Strong programming skills in Python, TypeScript, or similar languages.
Practical experience with threat modelling, application security testing, and deploying effective engineering controls.
Degree (Bachelor's, Master's, or PhD) in Computer Science, Machine Learning, Data Science, AI, or related field.
Experienced in designing secure, reusable platform controls and APIs for multi-team use, balancing security with usability and operational complexity.
Familiar with security challenges specific to AI systems including LLMs, retrieval-augmented generation, and agent-based workflows.
Able to communicate complex security concepts and tradeoffs clearly across engineering, security, compliance, and product teams.