Job Description – Senior Application Security Developer (Python & AI Security)

Position Overview

We are seeking a Senior Application Security Developer with strong Python development expertise and hands-on experience in Application Security and AI/LLM Security.

This is a development-focused role for someone who can build, automate, and integrate security capabilities into enterprise applications and CI/CD pipelines, with a particular focus on leveraging AI to improve vulnerability detection, prioritization, analysis, and remediation.

Must-Have Requirements

• Strong hands-on Python development experience, including API development, scripting, automation, and integration.
• Strong experience with Application Security (AppSec) and secure software development practices.
• Experience integrating and automating security tooling within CI/CD and DevSecOps pipelines.
• Experience applying AI/LLM technologies to Application Security, including:
  • AI-assisted SAST and SCA
  • Secrets scanning
  • Vulnerability prioritization
  • Exploitability and reachability analysis
  • Attack path analysis
  • Automated remediation
• Hands-on knowledge of LLMs, AI agents and RAG architectures.
• Understanding of prompt security, AI model security, AI guardrails, runtime protection, and model lifecycle security.
• Experience developing or integrating AI-powered security tooling and capabilities.
• Strong understanding of Cloud Security and modern cloud-native application architectures.

Key Responsibilities

• Develop Python-based security applications, APIs, automation, and integrations.
• Build and enhance AppSec capabilities across the software development lifecycle.
• Integrate SAST, SCA, secrets scanning, and vulnerability management tooling into development workflows.
• Develop AI-assisted capabilities for vulnerability analysis, prioritization, exploitability assessment, and remediation.
• Build security controls and guardrails for LLM and AI-enabled applications.
• Support the implementation of AI Security Posture Management (AI-SPM) and AI asset inventory capabilities.
• Automate security processes and integrate security capabilities into CI/CD pipelines.
• Contribute to AI security standards, ML SecOps practices, and secure AI development guidelines.

Good-to-Have

• Java development experience.
• Experience building scalable, self-service security platforms for development teams.
• Experience with cloud-native security and containerized environments.
• Experience building or integrating enterprise AI/LLM security solutions.

Experience integrating APIs for AI models (OpenAI, Anthropic, or similar) Ability to translate security requirements into automated AI workflows By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions