– 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 .




- Solid 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

📌 (DEV) Application Security Developer - Python/Java (Montreal)
🏢 Vaco Recruiter Services
📍 Montreal