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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and scaling red-teaming systems and teams, with a strong focus on software engineering, AI, and cybersecurity. Capable of translating technical findings into impactful solutions while managing high-tempo engagements and mentoring technical contributors.
Highest-signal resume keywords
Software EngineeringPython ProgrammingRed-Teaming SystemsTechnical Team LeadershipAdversarial Machine Learning
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI DevelopmentLLM APIsLocal LLM FrameworksEvaluation FrameworksCloud InfrastructureCompute ClustersVulnerability AnalysisStatistical Analysis ToolsAgentic SystemsTechnical Strategy
Soft Skills
CommunicationMentoringProblem-SolvingCollaborationDrive for Impact
Industry Keywords
CybersecurityMLOpsAI SafetyAI SecurityRobustnessHigh-Stakes EngagementsFrontier AITechnical EvaluationsEntrepreneurial EnvironmentGovernment Collaboration
Tech Stack
Tools & technologiesCloudCyber SecurityPython
About the role
Key responsibilities & impact- Build and scale the FAR.AI Red Team engineering organization, systems, tools, products, services, evaluations, and agents
- Develop agentic red-teaming systems to systematically explore attack spaces
- Identify new public jailbreaks and automatically integrate them into red-teaming systems
- Advance attacker simulation and output harmfulness evaluation
- Maintain and evolve vulnerability databases, statistical analysis tools, and reporting infrastructure
- Build systems supporting high-stakes red-teaming engagements with frontier AI companies and governments
- Support public reports, benchmarks, and leaderboards
- Contribute to red-teaming closed- and open-weight frontier models
- Build agentic workflows that accelerate red-team work
- Manage, mentor, and support engineering and red-teaming individual contributors
- Plan sprints and lead engineering execution
- Create scalable processes for high-tempo engagements
- Design hiring pipelines and hire engineering managers and other roles
- Identify engineering bottlenecks and implement solutions
- Partner with technical leadership on engineering systems, methodology, evaluations, and research
- Contribute to red-team technical and product strategy
- Translate technical ideas and findings into real-world impact
Requirements
What you’ll need- Strong track record in software engineering, AI, or another computer engineering discipline (e.g. cybersecurity, MLOps)
- Strong track record of managing, growing, and leading technical teams, including building start-ups (0 → 1) and managing managers
- Experience with coding agents, Python, LLM APIs, local LLM frameworks, evaluation frameworks, LLM agents, cloud infrastructure, and compute clusters
- Experience thriving in rapidly evolving environments
- Demonstrated drive for mission and impact in frontier AI systems
- Ability to communicate technical solutions to technical and non-technical audiences
- Demonstrated relentlessness in achieving ambitious goals
- Experience building or red-teaming frontier LLMs or agentic systems is a plus
- Experience building technical teams and products in an entrepreneurial environment is a plus
- Ability to discover non-obvious, high-severity vulnerabilities in complex systems is a plus
- Experience in adversarial ML or security is a plus
- Prior collaboration with AI labs, security teams, or government safety institutes is a plus
- Published work in AI safety, security, or robustness is a plus
- Some timezone flexibility expected
- Full-time availability (40 hours/week)
Benefits
Comp & perks- Work-related travel expenses paid
- Equipment expenses paid
- Catered lunch and dinner at the office in Berkeley
- Visa sponsorship for the US or Singapore
- Paid work trial
