Posted yesterday
Senior Developer
@ Confiar Services
Toronto, Ontario
Requirements summary:
- The ideal candidate should have hands-on experience in AI security testing, application security, and vulnerability assessment across the AI development lifecycle.
- Required Skills & Qualifications
- 6–8 years of overall experience in software development, security engineering, or application security.
- Minimum 1+ year of hands-on experience in AI security or AI Red Teaming.
- Hands-on experience with:
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-11-10
- First seen by our source
- 2026-11-11
- Source record updated
- 2026-11-11
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Confiar Services
| Field | Value |
|---|---|
| Open jobs on Jobsy | 3 |
Role: Senior Developer / Senior Designer
Location: Toronto, Canada
Duration: Long Term Contract
Role Overview
We are looking for an experienced Senior Developer / Senior Designer with expertise in AI Red Teaming and security testing. The candidate will be responsible for performing adversarial testing of Large Language Models (LLMs) using specialized AI Red Teaming tools to identify vulnerabilities, simulate potential attacks, evaluate security guardrails, and recommend risk-based remediation.
The ideal candidate should have hands-on experience in AI security testing, application security, and vulnerability assessment across the AI development lifecycle.
Key Responsibilities
Execute AI Red Teaming activities to identify security vulnerabilities in LLM-based applications.
Perform adversarial testing, including prompt injection, jailbreaking, and guardrail bypass techniques.
Simulate real-world attacks against AI models using specialized AI Red Teaming tools.
Identify vulnerabilities in LLM applications and assess associated security risks.
Conduct penetration testing and application security assessments.
Evaluate AI model safety, security controls, and guardrail effectiveness.
Document findings, prepare vulnerability reports, and recommend remediation strategies.
Collaborate with AI engineers, developers, and security teams to strengthen AI security.
Support vulnerability tracking and remediation throughout the AI lifecycle.
Required Skills & Qualifications
6–8 years of overall experience in software development, security engineering, or application security.
Minimum 1+ year of hands-on experience in AI security or AI Red Teaming.
Strong understanding of LLM security and adversarial testing techniques.
Hands-on experience with:
Prompt Injection and Jailbreaking
Adversarial Machine Learning
AI Guardrail Bypass Testing
LLM Vulnerability Assessment
AI Red Teaming Tools
Vulnerability Lifecycle Management
Penetration Testing
Application Security
Understanding of AI/LLM security risks, attack vectors, and mitigation techniques.
Strong analytical, problem-solving, and security assessment skills.
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