Senior Product Security Engineer (AI/LLM Security)

techolution • India

Remote

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AI Summary

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 systems. Require strong expertise in offensive security, threat modeling, and integrating security into CI/CD pipelines.

Key Highlights

Focus on AI/LLM security including prompt injection and sensitive data leakage

End-to-end ownership of vulnerability discovery through verified remediation

Integration of SAST, DAST, and SCA into the SDLC and CI/CD pipelines

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.

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 and repositories.

Communicate technical findings, business impact, and remediation priorities clearly to engineering teams and business stakeholders.

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Technical Skills Required

Application Security Offensive Security AI/LLM Security

Benefits & Perks

Remote Work

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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

Job Description

We are looking for a Sr Product 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.

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Job Overview

Posted Date Oct 12, 2026

Employment Type Full-time

Experience Level Mid-Senior level

Location India

Category Cyber Security

Company techolution

Mentioned Skills

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