About the job
About The Role
We are looking for an experienced Senior AI DevSecOps Engineer to ensure the secure and compliant deployment of LLMs and AI systems across the platform
Key Responsibilities
- Design and implement secure deployment pipelines for LLMs using ArgoCD, Kubernetes, and GitHub
- Identify and mitigate AI-specific security threats including prompt injection and model poisoning
- Automate security controls, monitoring, and compliance checks using Golang and Python
- Manage AI data storage infrastructure using Cassandra, PostgreSQL, and Redis
- Ensure security and compliance of AI systems in production LLM inference environments
- Navigate data protection requirements across multi-jurisdiction operating contexts
- Collaborate with AI engineers, DevOps, and security teams across a distributed organisation
Qualifications
- Proven experience in DevSecOps with a specific focus on AI/ML systems
- Strong skills in Golang and Python
- Hands-on experience with ArgoCD, Kubernetes, and GitHub for secure AI deployment
- Deep understanding of AI-specific security threats: prompt injection, model poisoning, adversarial attacks
- Working knowledge of Cassandra, PostgreSQL, and Redis
- Demonstrated LLM experience in production environments
- Familiarity with data privacy regulations (GDPR or equivalent) is an advantage
Why Join Dexwin
- Work in a fast-paced, high-ownership environment
- Contribute to meaningful projects with real-world impact
- Collaborate with a skilled, forward-thinking team
- Influence architecture and product direction as we scale
