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 .





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) Java developer (Montreal)
🏢 Vaco
📍 Montreal