AI Platform Security Engineer

Fluid AI International; Mumbai; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Fluid AI International is seeking an AI Platform Security Engineer in Mumbai to secure an enterprise AI platform. You will work across Python services, JavaScript applications, Kubernetes, Docker, and cloud infra to identify and fix vulnerabilities before production.

This hands-on role focuses on building secure systems, improving security posture, and enabling teams to ship secure-by-default AI apps.

Qualifications

• 1–4 years of software or security engineering experience.
• Strong Python and JavaScript/TypeScript skills.
• Experience with Linux, Docker, and Kubernetes.
• Solid understanding of web app vulnerabilities (OWASP Top 10).
• Familiarity with authentication, APIs, networking, and secure software development.

Responsibilities

• Identify, 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.

Skills

Python

JavaScript/TypeScript

Linux

Docker

Kubernetes

OWASP Top 10

Authentication

APIs

Networking

Secure SDLC

Tools

OpenTelemetry

Job description

About Fluid AI

Fluid AI is a specialized cutting-edge Gen AI company with an enterprise level GPT product that caters to corporates. We are one of the pioneering companies in the field of Artificial Intelligence. Our GPT product allows businesses to increase their productivity by getting assistance in all key functions including sales and marketing, operations, customer support etc. Our founders, Abhinav & Raghav Aggarwal have been on the cover of the Forbes Magazine 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, ET NOW etc. They are the authors of the world's first ever book written by an AI Algorithm. They have worked with Warren Buffet to create a digital human avatar for the Forbes centennial issue.

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.

Responsibilities

• Identify, 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 Skills

• 1–4 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 Have

• Experience 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 For

• A 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