We are looking for an AI Security Engineer with a solid 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
Robust 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
Robust 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

📌 Ai Security Engineer Telangana
🏢 Multi Recruit
📍 Telangana