AI Platform Security Engineer (Remote) Company: Fluid AIAbout Us:Fluid AI is a specialized cutting - edge Gen AI company with an enterprise level GPT productthat caters to corporates. We are one of the pioneering companies in the field of ArtificialIntelligence. Our GPT product allows businesses to increase their productivity by gettingassistance in all key functions including sales and marketing, operations, customer supportetc. Our founders, Abhinav & Raghav Aggarwal have been on the cover of the ForbesMagazine as well as on the Forbes 30 Under 30 list and the Fortune 40 Under 40 list.Abhinav & Raghav have appeared on numerous TV channels including NDTV, CNBC TV18, ETNOW etc. They are the authors of the worlds first ever book written by an AI Algorithm.They have worked with Warren Buffet to create a digital human avatar for the Forbescentennial issue. Location: Remote (India) Experience: 1–4 Years About the Role Fluid AI is looking for an AI Platform Security Engineer to help secure our enterprise Agentic AI Platform. You’ll work across the entire technology stack—including Python services, JavaScript applications, Kubernetes, Docker containers, autonomous AI agents, APIs, databases, CI/CD pipelines, and cloud infrastructure—to identify, investigate, and fix security vulnerabilities before they reach production. This is a hands-on engineering role focused on building secure systems, improving the platform’s security posture, and enabling our engineering teams to build secure-by-default AI applications. ResponsibilitiesIdentify, investigate, and remediate security vulnerabilities across the Fluid AI Platform.Perform security reviews of Python, JavaScript/TypeScript, and infrastructure code.Secure autonomous AI agents, workflows, and tool integrations against common attack vectors.Harden Kubernetes clusters, Docker containers, and deployment infrastructure.Implement secure authentication, authorization, secrets management, and least-privilege access controls.Build automated security checks into CI/CD pipelines.Perform dependency analysis and remediate vulnerable packages.Conduct threat modeling for new platform features and AI capabilities.Improve platform security through continuous testing, automation, and monitoring. Required Skills1–4 years of software engineering or security engineering experience.Strong understanding of Python and JavaScript/TypeScript.Experience working with Linux, Docker, and Kubernetes.Good understanding of common web application vulnerabilities (OWASP Top 10).Familiarity with authentication, APIs, networking, and secure software development.Strong debugging and problem-solving skills.Good to HaveExperience with SAST, DAST, container security, or vulnerability scanning.Knowledge of Kubernetes security, RBAC, network policies, and admission controllers.Experience with OpenTelemetry or security monitoring.Familiarity with cloud platforms such as AWS, Azure, or GCP.Experience securing LLMs, MCP servers, autonomous agents, or AI applications.Exposure to penetration testing or Capture the Flag (CTF) competitions.Contributions to open-source security tools or bug bounty programs.What We’re Looking ForA security-first engineering mindset.Curiosity to understand how complex systems can fail or be exploited.Passion for finding and fixing security issues before customers do.Ability to work across application code, infrastructure, containers, AI systems, and cloud environments.Someone who enjoys learning new technologies and continuously improving platform security.Why Join Fluid AI?Secure one of the most advanced enterprise Agentic AI platforms.Work across AI systems, distributed applications, Kubernetes, cloud infrastructure, and modern developer tooling.Solve challenging security problems spanning code, infrastructure, autonomous agents, and enterprise deployments.Help define the security architecture for the next generation of enterprise AI platforms.Role: Engineering - Other,Industry Type: IT Services & Consulting,Department: Production, Manufacturing & Engineering,Employment Type: Full Time, PermanentRole Category: EngineeringEducationUG: Any Graduate