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
- 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
- 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

📌 AI Security Engineer (Telangana)
🏢 Multi Recruit
📍 Telangana