About the role
TL;DR
Secure AI-driven systems, including LLM-based applications and machine learning models.
- •We are looking for an AI Security Engineer to secure our AI-driven systems, including LLM-based applications, machine learning models, and AI-enabled automation tools.
- •Key Responsibilities Design and implement security controls for AI/ML systems across development, training, and production.
- •Secure LLM integrations, RAG pipelines, and AI APIs.
- •Conduct threat modeling for AI systems and data pipelines.
- •Identify and mitigate AI-specific threats: prompt injection, model poisoning, data contamination, adversarial attacks, training data leakage, insecure model serialization, excessive permissions in AI agents.
- •Integrate AI security checks into CI/CD pipelines.
- •Requirements 3-5+ years in software engineering, ML engineering, or application security Hands-on experience with AI/ML systems
- •LLMs, NLP models, or similar.
- •Python proficiency for automation and scripting.
- •Experience working with Anthropic API.
- •Strong understanding of cloud platforms: AWS, Azure, or GCP Experience with API security, Docker, Kubernetes Knowledge of AI-specific security risks and mitigations Experience conducting threat modeling and risk assessments.
Required skills
PythonLLMsAnthropic APIAWSDockerKubernetesCI/CD
Nice-to-have skills
MLflowKubeflowSageMaker
Domain expertise
fintech
Benefits & perks
Competitive Salary, Work-Life Harmony, Generous Time Off, Employee Referral Program, Comprehensive Health & Pension Benefits, Workation Wonderland, Volunteer Days
Tech stack
PythonLLMsAnthropic APIAWSDockerKubernetesCI/CD