(DEV) Java developer - Application security

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