AI Security Engineer

We are looking for an AI Security Engineer with a strong foundation in both Artificial Intelligence and Cyber Security. This role focuses on building secure AI systems, protecting LLM-based applications, and embedding security across the entire AI lifecycle, from data to deployment.

Key Highlights:

• Work hands-on with LLMs and Generative AI use cases with a strong security focus
• Design and secure RAG-based intelligent applications
• Implement secure vector databases and semantic search systems
• Drive AI security across MLOps and DevSecOps pipelines
• Opportunity to build and scale secure AI solutions in production environments

Required Skills & Qualifications:

• 5+ years of experience in Python development
• Strong experience with frameworks like Django, Flask, or FastAPI
• Hands-on expertise in AWS cloud services (EC2, Lambda, S3, RDS, ECS, etc.)
• Experience with Hugging Face, LangChain, Transformers
• Strong understanding of microservices and distributed systems
• Experience with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB), vector databases
• Proficiency with version control practices
• Experience with CI/CD pipelines and automation tools

Must-Have Skills (AI- specific):

• Strong proficiency in Python
• Hands-on experience with ML, DL & Large Language Models (LLMs),
• Experience with RAG architecture and secure data pipelines
• Strong background in Cyber Security / Information Security domain
• Understanding of application security, cloud security, and network security fundamentals

Security-Specific Expertise

Strong knowledge of:

• OWASP Top 10 / API Security Top 10, Encryption (data at rest & in transit)
• Secure coding practices, Vulnerability Assessment & Penetration Testing (VAPT)
• Authentication & Authorization (OAuth2, JWT, SSO)
• Prompt Injection Attacks, Identity & Access Management (IAM)
• Data Leakage & Sensitive Data Exposure
• Model Poisoning / Adversarial Attacks
• Threat Modeling (STRIDE / MITRE ATT&CK)
• Secrets management (Vault, KMS, etc.)

Responsibilities:

• Design and implement secure AI/ML architectures
• Perform AI security assessments, threat modeling, and VAPT
• Build and enforce LLM guardrails and security controls
• Collaborate with engineering teams to embed security-by-design principles
• Monitor and respond to AI-specific and cyber security threats
• Ensure compliance, governance, and risk management for AI systems