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Senior AI Security Engineer at Dillo.Tech – Remote | Jobyssey

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Senior AI Security Engineer

Senior AI Security Engineer

Dillo.Tech · Remote · 1 month ago

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Work mode: Remote
Seniority: Senior
Category: Security
Experience: 5+ years

ai ansible bash cloud cloud-security data-pipelines data-science devsecops distributed-training fine-tuning gdpr

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Secure AI systems by assessing LLM security, implementing controls for training/inference pipelines, and defending against prompt injection, data poisoning, and adversarial attacks.

Assess the security posture of LLMs and generative AI systems used within or by Applied Systems
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Implement and maintain security controls across model training, fine-tuning, and inference infrastructure
Identify and help remediate AI-specific vulnerabilities — prompt injection, model poisoning, data exfiltration, and adversarial attacks
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Develop security baselines, hardening configs, and incident-response runbooks for AI platforms
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3–5+ years in security engineering or DevSecOps
Foundational understanding of ML concepts, workflows, and frameworks (PyTorch, TensorFlow, scikit-learn)
Working knowledge of LLMs, transformer architectures, and their security concerns (prompt injection, jailbreaking, data poisoning, model extraction)
Container and Kubernetes security experience, including securing AI workloads
Hands-on Python plus Bash or Go, and comfort with common data science libraries
Cloud security in AI contexts — GPU security, distributed training, and data protection in ML pipelines
Infrastructure-as-code experience (Terraform, Ansible)
Solid grounding in encryption, key management, and PII/data privacy
Familiarity with secure SDLC, ML supply-chain security, and model governance/versioning
Working knowledge of compliance frameworks as applied to AI (GDPR, SOC 2)
Strong communication skills and the ability to work independently or on a team

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16 national bank holidays + 10 flexible holidays off
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Flexible hours
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