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AI Security Engineer

techolution • India
Remote
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Secure enterprise applications and AI-powered products across multiple engineering teams and repositories. Perform hands-on vulnerability discovery, exploitation, and remediation for web, API, cloud, and LLM-based systems. Integrate security controls into the SDLC and CI/CD pipelines to ensure scalable and repeatable security practices.

Key Highlights
Conduct manual security testing and source-code reviews to uncover real-world vulnerabilities beyond automated scanning.
Specialize in AI/LLM security, testing for prompt injection, data leakage, and insecure tool usage.
Drive the full remediation lifecycle by working directly with engineering teams to verify and close security findings.
Key Responsibilities
Own security assessments across multiple enterprise applications, AI-powered products, repositories, and engineering teams.
Perform hands-on web, API, cloud, and Kubernetes security testing, including vulnerability discovery, exploitation, validation, and remediation verification.
Identify security weaknesses through manual testing, source-code review, threat modeling, architecture reviews, and security tooling.
Assess authentication, authorization, business logic, APIs, cloud configurations, IAM, containers, and Kubernetes environments.
Test AI/LLM applications and agents for prompt injection, indirect prompt injection, sensitive-data leakage, insecure tool usage, authorization bypasses, and excessive agent permissions.
Prioritize vulnerabilities based on exploitability, business impact, exposure, and risk.
Work directly with engineering teams to drive remediation, resolve blockers, retest fixes, and close security findings.
Integrate security into the SDLC and CI/CD pipelines using SAST, DAST, SCA, secrets detection, and security gates.
Establish repeatable security practices and scalable controls across multiple products, repositories, and engineering teams.
Communicate technical findings, business impact, and remediation priorities clearly to engineering teams and business stakeholders.
Technical Skills Required
Application Security Web and API Security AI/LLM Security
Benefits & Perks
Remote Work
Nice to Have
Experience securing RAG-based applications, agentic AI systems, MCP integrations, or AI tool-calling workflows
Experience with AI red teaming and AI-specific threat modeling
GCP/GKE experience; AWS or Azure cloud security experience
Security certifications such as OSCP, OSWE, GIAC, CREST, or equivalent practical experience

Job Description

We are looking for a AI Security Engineer to secure enterprise applications and AI-powered products across multiple engineering teams and repositories. This role requires strong hands-on security expertise, practical vulnerability discovery and exploitation skills, and the ability to independently assess, prioritize, and drive remediation of security risks across multiple products.

The ideal candidate can go beyond automated scanning to uncover real-world vulnerabilities, assess their business impact, work directly with engineering teams, and ensure security findings are remediated and verified in fast-moving development environments.

Title : AI Security Engineer

Location :Remote Work

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