Senior Product Security Engineer - AI/LLM Security

techolution • India

Remote

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AI Summary

Secure enterprise applications and AI-powered products by performing hands-on security assessments, vulnerability discovery, and remediation verification across multiple engineering teams. Integrate security into the SDLC and CI/CD pipelines while assessing AI/LLM applications for specific risks like prompt injection and data leakage. Drive the closure of security findings by working directly with engineering teams to prioritize risks based on business impact and exploitability.

Key Highlights

Hands-on security expertise in web, API, cloud, and Kubernetes environments with a focus on manual testing and source-code review.

Specialized experience in testing AI/LLM applications for prompt injection, sensitive-data leakage, and insecure tool usage.

Ability to independently assess, prioritize, and drive remediation of security risks across multiple products and repositories.

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—not solely on scanner severity or CVSS scores.

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.

Rapidly assess new applications, identify the highest-risk gaps, and recommend actionable security improvements.

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

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Technical Skills Required

Web and API Security Cloud and Kubernetes Security AI/LLM Security Testing

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 is also valuable.

Security certifications such as OSCP, OSWE, GIAC, CREST, or equivalent practical experience.

Job Description

We are looking for a Senior 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 09, 2026

Employment Type Full-time

Experience Level Mid-Senior level

Location India

Category Cyber Security

Company techolution

Mentioned Skills

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