Luke Weekes

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 DoResearch attacks against LLMs, AI agents, APIs, identity systems, and data flowsInvestigate prompt injection, agent manipulation, token abuse, privilege escalation, and data exfiltrationDevelop threat models, attack simulations, and working PoCsBuild research tooling and test environments using Python, Docker, and cloud platformsCollaborate with engineering and product teams to turn research into defensive capabilitiesPublish original research through blogs, talks, advisories, or open-source toolingApply frameworks such as MITRE ATT&CK to emerging AI attack techniquesWhat We're Looking For6–10 years in threat research, red teaming, offensive security, or security engineeringStrong hands-on offensive security and vulnerability research experienceDeep understanding of AI/LLM and agentic architecturesStrong knowledge of IAM, OAuth/OIDC, tokens, privileges, and DLPStrong Python and cloud/container experienceTrack record of publicly shared security research, tooling, or technical writingAbility to communicate complex security research clearly to technical and non-technical audiencesThis 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.

Principal AI Security Researcher Our client is a fast-growing cybersecurity company building security infrastructure for AI systems. They're hiring a Principal AI Security Researcher to lead and scale their AI security research and red-teaming function. Highly technical leadership role. Candidate should have spent significant time attacking, evaluating, and securing modern AI systems. Sits at the intersection of offensive security, adversarial AI research, and applied engineering. What you'll be doingLead and grow teams focused on AI red teaming, adversarial research, and AI security engineeringDesign and execute advanced attacks against LLMs, GenAI applications, AI agents, and multi-agent systemsResearch prompt injection, jailbreaks, indirect prompt injection, tool abuse, agent manipulation, data exfiltration, model misuse, adversarial behaviorBuild automated systems for continuous AI security testing and adversarial evaluationEstablish methodologies and infrastructure for testing AI systems at scaleLead research into emerging attack surfaces across agent orchestration, tool use, and multi-agent protocolsTranslate research into guardrails, detection mechanisms, monitoring, and security controlsPartner with engineering and product to build security into AI systems through the development lifecycleDefine AI security testing frameworks informed by OWASP, MITRE ATLAS, NIST AI RMFShape technical roadmap and long-term research strategy for the company's AI security platformRepresent the company externally through research, publications, conferencesWhat we're looking forSignificant experience leading security research, offensive security, AI security, or R&D teamsDeep hands-on expertise in AI red teaming, adversarial ML, LLM security, or GenAI securityStrong understanding of how modern AI systems are built, attacked, evaluated, deployedPractical experience researching or exploiting vulnerabilities in LLMs, AI applications, or agentic systemsExperience building security testing frameworks, offensive tooling, automated evaluations, adversarial testing infrastructureComfortable operating at strategic and technical level, close enough to the research to challenge assumptionsTrack record building high-performing technical teams and taking research from concept to implementationStrong communication across engineering, product, security, and executive stakeholders5+ years across cybersecurity, AI security, ML security, adversarial research, or related fieldParticularly interesting backgroundsPublished AI security or adversarial ML researchConference presentations (Black Hat, DEF CON, OWASP events)Open-source AI security contributions, standards, or research communitiesBuilt automated red-teaming or adversarial evaluation platformsDeveloped AI guardrails, runtime security systems, anomaly detection, AI monitoring infrastructureHands-on experience with agentic frameworks and multi-agent orchestrationExperience securing AI workloads across major cloud environmentsBackground in AI trust & safety, adversarial ML, offensive security, or AI researchExperience evaluating frontier models or complex AI/agentic systems in production