AI Security

2 weeks ago


Surat, 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 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 asPrompt FirewallandAegis Gatewaythat 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 ahands-on AI Security Engineer / Full-Stack Developerwith 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 blendingsecure software design, AI-model threat analysis, and modern cloud architecture .Key Responsibilities AI Security Design and buildLLM/AI security controlssuch as prompt firewalls, DLP, red-team test harnesses, and output filters. Developmodel-scanning toolsfor poisoning, vulnerabilities, and compliance gaps. Integrate telemetry and runtime policy enforcement into Aegis Gateway. Cybersecurity & Cloud Build and securecloud-native microserviceson AWS, Azure, or GCP. Implementzero-trust IAM , policy-as-code, and container/runtime hardening. Automate deployments and monitoring withDevSecOpsbest practices. Full-Stack Development Developbackend APIs and dashboards(Node.js, Python, React, Next.js). BuildSDKs and integrationswith OpenAI, Anthropic, and Azure AI. Create intuitive visualization and admin panels for AI-security data. R&D and Threat Analysis Research emergingAI-security threats(prompt injection, jailbreaks, model leaks). Conductthreat modelingfor 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 yearsin cybersecurity engineering or cloud security development. Strongfull-stackproficiency — Node.js / Python / Go / React / Next.js. Solid understanding ofOWASP ,API security ,container/runtime security , andIAM . Hands-on experience withLLM APIs (OpenAI, Anthropic, Gemini, Claude)and AI-integration patterns. Familiarity withprompt-injection ,AI data-leak risks ,adversarial examples , ormodel poisoning . Experience withDevSecOps , CI/CD, IaC (Terraform / CloudFormation). Strong debugging, architecture, and system-design skills. Excellent communication and documentation habits.Nice-to-Have Experience buildingAI agent frameworks(LangChain, CrewAI, AutoGen). Prior work onAI SPM / model observability / policy engines . Cloud security certs (AWS Security Specialty, GCP Security, CISSP, CCSP). Exposure toRAG pipelines, vector DBs, or LLMOps . Open-source security contributions or public research.



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