AI Threat Researcher

DeepRec.ai is supporting a high-growth cybersecurity startup building security solutions for the AI era, focused on protecting AI applications, agents, identity infrastructure, and sensitive enterprise data.

(Fully remote position)

We’re looking for a Threat Researcher with a strong offensive security background to research emerging attack techniques across AI and enterprise environments.

What You’ll Do

• Research attacks against LLMs, AI agents, APIs, identity systems, and data flows
• Investigate prompt injection, agent manipulation, token abuse, privilege escalation, and data exfiltration
• Develop threat models, attack simulations, and working PoCs
• Build research tooling and test environments using Python, Docker, and cloud platforms
• Collaborate with engineering and product teams to turn research into defensive capabilities
• Publish original research through blogs, talks, advisories, or open-source tooling
• Apply frameworks such as MITRE ATT&CK to emerging AI attack techniques

What We’re Looking For

• 6–10 years in threat research, red teaming, offensive security, or security engineering
• Strong hands-on offensive security and vulnerability research experience
• Deep understanding of AI/LLM and agentic architectures
• Strong knowledge of IAM, OAuth/OIDC, tokens, privileges, and DLP
• Strong Python and cloud/container experience
• Track record of publicly shared security research, tooling, or technical writing
• Ability to communicate complex security research clearly to technical and non-technical audiences

This is a highly hands-on research role with significant ownership over the research agenda and the opportunity to work on new attack surfaces emerging from increasingly autonomous AI systems.