AI Security

2 weeks ago

India CloudMatos Full time

In order to proceed further, you have to take the test. Test details : About CloudMatos CloudMatos is a next-generation cloud-security and AI-security platform designed for modern SMBs. We build intelligent security solutions across CNAPP, ASPM, ASM, API security — and now, AI-security products such as Prompt Firewall and Aegis Gateway that protect LLMs, agents, and enterprise AI systems from real-world threats. You’ll join a small, high-velocity team working directly with the founder to design, build, and deploy AI-security capabilities that define how organizations safely adopt AI. This Test is a required as part of the evaluation process. Role Overview We’re looking for a hands-on AI Security Engineer / Full-Stack Developer with deep technical curiosity and solid cybersecurity fundamentals. You’ll lead the engineering of new security capabilities — from API-level protections (Prompt Firewall) to enterprise-grade multi-agent controls (Aegis Gateway). This is a hybrid role blending secure software design, AI-model threat analysis, and modern cloud architecture . Key Responsibilities AI Security Design and build LLM/AI security controls such as prompt firewalls, DLP, red-team test harnesses, and output filters. Develop model-scanning tools for poisoning, vulnerabilities, and compliance gaps. Integrate telemetry and runtime policy enforcement into Aegis Gateway. Cybersecurity & Cloud Build and secure cloud-native microservices on AWS, Azure, or GCP. Implement zero-trust IAM , policy-as-code, and container/runtime hardening. Automate deployments and monitoring with DevSecOps best practices. Full-Stack Development Develop backend APIs and dashboards (Node.js, Python, React, Next.js). Build SDKs and integrations with OpenAI, Anthropic, and Azure AI. Create intuitive visualization and admin panels for AI-security data. R&D and Threat Analysis Research emerging AI-security threats (prompt injection, jailbreaks, model leaks). Conduct threat modeling for LLMs, agents, and data pipelines. Collaborate with open-source or academic partners on AI-security research. Product Collaboration Work directly with the founder on roadmap and architecture. Contribute to patents, whitepapers, and internal engineering frameworks. Write clean, well-documented, secure code with test automation. Required Skills 3–5 years in cybersecurity engineering or cloud security development. Strong full-stack proficiency — Node.js / Python / Go / React / Next.js. Solid understanding of OWASP , API security , container/runtime security , and IAM . Hands-on experience with LLM APIs (OpenAI, Anthropic, Gemini, Claude) and AI-integration patterns. Familiarity with prompt-injection , AI data-leak risks , adversarial examples , or model poisoning . Experience with DevSecOps , CI/CD, IaC (Terraform / CloudFormation). Strong debugging, architecture, and system-design skills. Excellent communication and documentation habits. Nice-to-Have Experience building AI agent frameworks (LangChain, CrewAI, AutoGen). Prior work on AI SPM / model observability / policy engines . Cloud security certs (AWS Security Specialty, GCP Security, CISSP, CCSP). Exposure to RAG pipelines, vector DBs, or LLMOps . Open-source security contributions or public research.

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