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Senior Application Security Engineer - AI/LLM Security

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 environments. Drive the integration of security into SDLC and CI/CD pipelines while prioritizing risks based on business impact.

Key Highlights
Specialized focus on AI/LLM security including prompt injection and data leakage
End-to-end ownership of vulnerability management from discovery to verified closure
Integration of SAST, DAST, and SCA into fast-moving CI/CD pipelines
Key Responsibilities
Own security assessments across multiple enterprise applications, AI-powered products, and repositories.
Perform hands-on web, API, cloud, and Kubernetes security testing, including vulnerability discovery and exploitation.
Test AI/LLM applications for prompt injection, sensitive-data leakage, and authorization bypasses.
Prioritize vulnerabilities based on exploitability, business impact, and risk.
Work directly with engineering teams to drive remediation and verify fixes.
Integrate SAST, DAST, SCA, and secrets detection into SDLC and CI/CD pipelines.
Establish repeatable security practices and scalable controls across multiple products.
Communicate technical findings and business impact to 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, or MCP integrations
Experience with AI red teaming and AI-specific threat modeling
GCP/GKE, AWS, or Azure cloud security experience
Security certifications such as OSCP, OSWE, GIAC, or CREST

Job Description

We are looking for a Senior Application 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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