Head of Engineering (Red Team)

FAR.AI

WorldwideFully remoteFull TimeManagerInformation Technology
USD 225,000–350,000 a yearPosted 5h ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 5 hours ago · apply link checked 5 hours ago

About the role

Responsibilities

  • Build and scale a scalable red-teaming engine including tooling, products, services, and agentic systems
  • Manage, mentor, and support a growing team of engineering and red-teaming ICs
  • Plan sprints and lead engineering execution
  • Identify and execute on technical and teambuilding opportunities to scale impact
  • Partner with technical leadership to translate strategy into scalable engineering plans
  • Contribute to the overall technical and product strategy of the red team

Requirements

  • Strong track record in software engineering, AI, or computer engineering (e.g., cybersecurity, MLOps)
  • Experience managing, growing, and leading technical teams (0 to 1 and scale-ups)
  • Proficiency with tech stacks including Python, LLM APIs, and cloud infrastructure (GCP, Kubernetes)
  • Ability to thrive in rapidly evolving and ambiguous environments
  • Demonstrated drive for mission-driven impact
  • Effective communication skills for technical and non-technical audiences

Preferred Qualifications

  • Experience building or red-teaming frontier LLMs or agentic systems
  • Experience building technical teams in an entrepreneurial environment
  • Ability to discover high-severity vulnerabilities in complex systems
  • Experience in adversarial ML or security
  • Published work in AI safety, security, or robustness

About the Company

FAR.AI is a non-profit AI research institute working to ensure advanced AI is safe and beneficial for everyone. We conduct pre-deployment testing for frontier developers and governments to improve the security and safety of the most widely deployed AI systems in the world.

What we look for

  • Strong track record in software engineering, AI, or computer engineering
  • Experience managing and leading technical teams
  • Experience with Python, LLM APIs, and cloud infrastructure
  • Ability to communicate technical solutions to diverse audiences
  • Drive for mission-driven impact
PythonKubernetesGCPLLMMLOps
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