Job DescriptionLead – AI and Application security
NThe Role
nWe are looking for an AI and Application Security Engineer with solid hands-on experience in secure SDLC practices, application security testing, red teaming, code review, container/image review, release security testing, SAST, and AI implementation security reviews. The role involves identifying security risks across applications, APIs, AI-enabled features, and cloud-hosted workloads, and partnering with engineering teams to implement scalable, practical, and measurable security improvements.
NResponsibilities
n
- N
- Perform application security assessments across web applications, APIs, mobile applications, services, and integrations as part of the secure SDLC. N
- Conduct release security testing, including manual testing, SAST result validation, vulnerability verification, and security sign-off support before production releases. N
- Perform secure code reviews and identify vulnerabilities related to authentication, authorization, input validation, session management, insecure dependencies,



business logic flaws, and API security. N
- Conduct container and image security reviews, including dependency, package, secret, configuration, and vulnerability checks before deployment. N
- Perform AI implementation security reviews for AI-enabled features, LLM integrations, prompt flows, data exposure risks, model misuse scenarios, and security control gaps. N
- Plan and execute red teaming and adversarial testing activities for applications, APIs, and AI-enabled workflows, including abuse-case testing and AI-driven security testing techniques. N
- Use tools such as Burp Suite, Nessus, SAST platforms, dependency scanners, and other application security testing tools to identify, validate, and track vulnerabilities. N
- Apply OWASP Top 10, OWASP API Security Top 10, STRIDE threat modeling, and secure design principles to assess application and AI implementation risks. N
- Work closely with engine

📌 Hiring: Lead (Karnataka)
🏢 LeadSquared
📍 Karnataka