AI Red Team Specialist (Generative AI & Agentic Systems)

BLEND is building a bench of offensive security specialists for an AI red-team programme with one of our clients. The target is not a web application. It is a generative AI system: models, LLM applications, and agents that hold tools and act on what they are told.

You will attack those systems and write up what you find. If you have spent years breaking web applications and have started turning that instinct on LLMs, this is the work.

What you will do

- Probe LLM applications and agentic systems for exploitable behaviour: prompt injection, both direct and indirect, guardrail and policy bypass, system prompt extraction, tool and function-call abuse, data exfiltration through RAG pipelines, privilege escalation across agent boundaries.

- Prove impact, not just output. A jailbreak that reaches nothing is a curiosity.

- Write findings the client can act on: reproduction steps, root cause in the agent or tool design, severity, and a mapping to the OWASP Top 10 for LLM Applications.

- Work to a defined scope and stay inside it.

What we are looking for

- Around 5 years of hands-on web penetration testing. This is the client's bar. If your track record is shorter but backed by published AI security work, apply anyway and tell us what you have done.

- Real exposure to generative AI security, professional or self-directed. Personal research counts here, and we will ask you to show it.

- Fluent written English. The report is the deliverable.

- Evidence we can verify: a CVE credit, a public bug bounty profile, a vendor acknowledgement, a published write-up or advisory, a conference talk, or an issuer verification link for the certifications you hold.

- Willingness to complete an identity check and sign an NDA before touching any client system.

Nice to have

- Offensive security certifications in the OSCP / OSWE / OSCE3 or GIAC families.

- Python or NodeJS, enough to build your own harness.

- A Hack The Box, TryHackMe or CTFtime profile.

- A degree in computer science or information security.

How to apply

Complete our short screening form. It takes about 10 minutes and asks for your experience, your verification links and your hourly rate. Every submission is reviewed by a person. Candidates who pass that review are invited to a practical challenge on the client's portal.