Red Team Engineering Manager — AI Safety & Tools

Remotedxb

Dubai

On-site

AED 300,000 - 600,000

Full time

11 days ago
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Job summary

FAR.AI, a nonprofit AI research institute, seeks a senior red-team engineer to build and scale red-teaming tools and lead a growing team in Dubai. This role combines software engineering, AI, and security to explore attack spaces and translate findings into safer, real-world impact.

You will plan sprints, contribute to technical and product strategy, and partner with frontier labs and governments to advance safety across leading AI systems.

Qualifications

  • Proven experience leading technical teams in software/AI/cybersecurity contexts.
  • Experience with Python and LLM APIs (OpenAI, Anthropic, Google) and local LLM frameworks.
  • Cloud infrastructure experience (GCP) and compute clusters (Kubernetes, Slurm).
  • Ability to communicate technical solutions to technical and non-technical audiences.
  • Thriving in rapidly evolving, mission-driven environments.

Responsibilities

  • Build and scale internal and external red-teaming tools and products
  • Develop agentic red-teaming systems to automatically explore attack spaces
  • Manage, mentor, and support a growing team of red-teaming engineers
  • Plan sprints and lead engineering execution
  • Contribute to the overall technical and product strategy of the red team
  • Partner with frontier labs and governments to translate technical findings into real-world impact

Skills

Software engineering
AI / ML
Team leadership
Python
LLM APIs
Communication
Adaptability

Tools

GCP
Kubernetes
Slurm
OpenAI API
Anthropic API

Job description

FAR.AI, a nonprofit AI research institute, seeks a senior red-team engineer to build and scale red-teaming tools and lead a growing team in Dubai. This role combines software engineering, AI, and security to explore attack spaces and translate findings into safer, real-world impact.

You will plan sprints, contribute to technical and product strategy, and partner with frontier labs and governments to advance safety across leading AI systems.

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