AI Security

6 days ago

New Delhi, India CloudMatos Full time

In order to proceed further, you have to take the test.Test details: https://docs.google.com/document/d/1M2nO77GO-BogYEl0NY4ceD60TtSJ2hFPnlW0lhizqDE/edit?tab=t.0#heading=h.vwab59sfmhv3About CloudMatosCloudMatos 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 OverviewWe’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 ResponsibilitiesAI 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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