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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in software engineering and AI, with a strong focus on building and leading technical teams in rapidly evolving environments. Proficient in developing red-teaming tools, managing engineering systems, and integrating AI evaluation frameworks.
Highest-signal resume keywords
Software EngineeringTeam LeadershipPython ProgrammingLLM APIs ExperienceCloud Infrastructure
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Software EngineeringPython ProgrammingLLM APIsRed-Teaming ToolsStatistical AnalysisAutomated Workflow DevelopmentVulnerability Database ManagementSecure Sandboxing ArchitectureAdversarial MLEvaluation Frameworks
Soft Skills
Communication SkillsMentoringProblem-SolvingMission OrientationAdaptability
Tools & Technologies
GCPKubernetesSlurmClaude CodeCodexCursorVLLMInspectOpenAIAnthropic
Industry Keywords
CybersecurityMLOpsAI SafetyAI SystemsFrontier AITechnical StrategyEngineering MethodologyVulnerability EvaluationComplex SystemsEntrepreneurial Environment
Tech Stack
Tools & technologiesCloudCyber SecurityGoogle Cloud PlatformKubernetesPython
About the role
Key responsibilities & impact- Serve as the senior technical owner of engineering for FAR.AI’s Frontier Safety division
- Report to Kellin Pelrine with a dotted line to Edward Yee
- Translate technical strategy and priorities into a world-class engineering organization, systems, and execution
- Build and scale red-teaming tools and products
- Operationalize systems for attacker simulation and output severity evaluation
- Maintain and evolve vulnerability databases, statistical analysis tools, and reporting infrastructure
- Develop automated red-teaming, jailbreak-integration, and workflow agents
- Build, test, and refine secure sandboxing architecture for evaluating advanced AI systems
- Extend infrastructure and tooling for CBRN, cyber, and loss-of-control evaluations
- Design architecture for external platform contributions and AI evaluation ecosystem integrations such as Inspect
- Integrate engineering systems with testing workflows, private disclosures, public reports, benchmarks, and leaderboards
- Build and manage an engineering team of individual contributors, then hire or grow managers
- Mentor and manage team members and create resources for skill growth and knowledge transfer
- Design hiring pipelines and serve as hiring manager for engineers, engineering managers, and other roles
- Contribute to division-wide technical and product strategy
- Identify, prioritize, and solve engineering bottlenecks
- Partner with division leadership on technical direction, engineering systems, red-teaming methodology, evaluations, safeguards, and research
- Work with the company engagements and testing team to improve feedback loops
- Partner with FAR.AI teams to 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 such as cybersecurity or MLOps
- Strong track record of managing, growing, and leading technical teams, including building start-ups from 0 → 1 and managing managers in scale-ups
- Experience with coding agents such as Claude Code, Codex, or Cursor
- Experience with Python
- Experience with LLM APIs such as OpenAI, Anthropic, or Google
- Experience with local LLM frameworks such as vLLM
- Experience with evaluation frameworks such as Inspect
- Experience with LLM agents such as OpenClaw
- Experience with cloud infrastructure such as GCP
- Experience with compute clusters such as Kubernetes or Slurm
- Experience thriving in rapidly evolving environments
- Demonstrated mission and impact orientation focused on frontier AI systems
- Ability to communicate technical solutions to technical and non-technical audiences
- Demonstrated relentlessness in achieving ambitious goals
- Leadership experience
- Willingness to build an engineering team from a small starting team
- Willingness to work at the required velocity in an ambiguous, rapidly changing environment
- Preferred: experience building, red-teaming, or evaluating frontier LLMs or agentic systems, or building safeguards
- Preferred: experience building technical teams and products in an entrepreneurial environment
- Preferred: ability to discover non-obvious, high-severity vulnerabilities in complex systems
- Preferred: experience in adversarial ML or security
- Preferred: prior collaboration with AI labs, security teams, or government safety institutes
- Preferred: published work in AI safety, security, or robustness
- Full-time availability, 40 hours/week
- Ability to work with timezone flexibility across North America, Europe, and Asia-Pacific
Benefits
Comp & perks- Work-related travel expenses paid
- Work-related equipment expenses paid
- Catered lunch and dinner at the Berkeley office
- Visa sponsorship for in-person employees in the US or Singapore
- Full-time employment benefits through FAR.AI, FAR.Singapore, or an Employer of Record depending on location
- Paid work trial
- Remote work globally
- Flexible timezone arrangement across North America, Europe, and Asia-Pacific