Senior AI Security Engineer in Dillo.Tech

We're a small, but effective IT Consultancy agency in the USA. We're looking for Senior AI Security Engineer for our client Applied Systems is building out its AI security program and looking for a security engineer to help secure our LLMs, generative AI systems, and ML infrastructure.

This is an emerging role for someone with deep traditional security fundamentals who is eager to apply them to AI-specific threats — from prompt injection and model poisoning to privacy in training pipelines.

You don't need to be an ML researcher, but you should understand how machine learning works and be genuinely curious about where AI creates new risk. You'll help shape how Applied approaches AI security, work with cutting-edge technology, and build expertise in a domain where few engineers have deep experience.

Great senior team, cool management, full remote benefits. Join us!

Apply directly on Get on Board.

• 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