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 contemporary 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

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📌 (DEV) Java developer - Application security (Quebec City)
🏢 Vaco
📍 Quebec City