AI Red Teaming Engineer

DeWinter Group; Campbell (CA); Remote; USD 68,880 - 241,080; Full time

Job summary

A leading technology recruitment firm is seeking an experienced AI Red Teaming Engineer for a 12-month remote contract. The candidate will perform adversarial attacks on AI models, develop automated security scripts, and collaborate with security teams to strengthen AI defenses. Ideal candidates should have over 4 years of experience in Cybersecurity and expertise in LLM security risks. Strong communication and Python scripting skills are required. This role offers competitive pay rates between $50/hr and $175/hr.

Qualifications

• 4+ years of experience in Cybersecurity or Penetration Testing.
• Deep expertise in LLM security risks and prompt engineering.
• Demonstrated ability to work autonomously.
• Experience with Python scripting, Linux, and cloud security protocols.
• Strong communication skills for status updates.

Responsibilities

• Perform adversarial attacks to identify security vulnerabilities.
• Develop automated probing scripts for model safety testing.
• Map potential 'logic holes' in AI agents.
• Collaborate with security teams on hardening strategies.
• Create reports prioritizing risks for engineering teams.

Skills

Cybersecurity

Penetration Testing

LLM security

Prompt engineering

Python scripting

Linux

Cloud security protocols

Communication skills

Job description

Title: AI Red Teaming Engineer

Job Type: Contract

Contract Length: 12 Months

Pay Range: $50/hr – $175/hr

Start Date: ASAP

Location: Remote

About the Opportunity

Our client, a leader in AI testing and Generative AI solutions, is looking for a skilled AI Red Teaming Engineer to join their team for a 12-month engagement. This project involves performing adversarial attacks and vulnerability testing to identify security risks and logic holes in internal AI models and agent systems. This is a high-impact role that requires a self‑motivated professional who can hit the ground running and deliver results quickly.

Key Responsibilities & Deliverables

• Performing adversarial attacks (prompt injection, jailbreaking) to identify security vulnerabilities in internal AI models.
• Developing automated probing scripts to test model safety guardrails at scale.
• Mapping and reporting potential "logic holes" where AI agents could be tricked into performing unauthorized actions.
• Collaborating with security teams to implement hardening strategies against data poisoning and model inversion.
• Creating "red team reports" that prioritize risks for engineering teams to remediate.

Required Skills & Experience

We are looking for someone with a proven track record of successful contract engagements. The ideal candidate will have:

• 4+ years of experience in Cybersecurity or Penetration Testing.
• Deep expertise in LLM security risks (OWASP Top 10 for LLMs) and prompt engineering. This isn't a learning role—you need to be a subject matter expert.
• Demonstrated ability to work autonomously and manage your own time effectively to meet project goals.
• Experience with Python scripting, Linux, and cloud security protocols.
• Strong communication skills to provide clear and concise status updates to the project team.