Senior API & AI Security Engineer

KSM Business Services, Inc.

Indianapolis (IN)

On-site

USD 130,000 - 190,000

Full time

14 days+

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Job summary

KSM is seeking a Senior Application & AI Security Engineer to advance the security of internally developed apps, APIs, and AI-enabled solutions. You will work with software teams to identify vulnerabilities, design fixes, and validate remediation across AWS/Azure environments.

Responsibilities include securing REST APIs, integrating security into CI/CD, and evaluating AI/LLM workflows for prompt injection and data exposure, with a focus on practical risk reduction.

Qualifications

  • 6+ years of hands-on experience in software development, app security, or related roles.
  • Strong knowledge of web app and API security, including auth, session management, access control.
  • Experience identifying, remediating, and validating vulnerabilities in production apps.

Responsibilities

  • Assess apps and APIs for vulnerabilities in authentication, authorization, and data exposure.
  • Conduct hands-on security testing, code reviews, and architecture assessments.
  • Work with developers to design and validate fixes; ensure vulnerabilities are resolved.
  • Evaluate legacy apps, integrations, and app-to-app communications for security weaknesses.
  • Improve API protections, including service authentication, authorization, secrets management, rate limiting.
  • Integrate security requirements into SDLC and CI/CD pipelines.
  • Establish SAST/DAST and secrets-scanning capabilities and secure coding guidance.

Skills

Web security
API security
Security testing
CI/CD security
LLM security

Tools

SAST
DAST
Secrets-scanning

Job description

KSM is seeking a Senior Application & AI Security Engineer to advance the security of internally developed apps, APIs, and AI-enabled solutions. You will work with software teams to identify vulnerabilities, design fixes, and validate remediation across AWS/Azure environments.

Responsibilities include securing REST APIs, integrating security into CI/CD, and evaluating AI/LLM workflows for prompt injection and data exposure, with a focus on practical risk reduction.

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