Head of Engineering (Red Team)

FAR.AI · Remote · Remote (International) ·
Fully remoteFull-timeLead8+ years
COMPENSATION
$225k – $350k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Head of Engineering
  • Fully remote globally
  • AI Safety & Red Teaming
  • Visa sponsorship (US/SG)
  • Manage growing team

You will serve as the senior technical owner for FAR.AI's Red Team, translating strategy into a world-class engineering organization. Your focus is on building the systems, tools, and agentic workflows that enable high-stakes red-teaming engagements with frontier AI developers and governments.

The role requires scaling the team from its current size, mentoring engineers, and establishing processes that maintain quality during rapid growth. You will partner closely with division leadership to ensure engineering execution directly supports the mission of making advanced AI systems safer.

What you'll do

  • Build scalable red-teaming tools, products, and evaluation frameworks
  • Develop agentic systems to automate attack space exploration
  • Manage, mentor, and grow a team of engineering individual contributors
  • Plan sprints and lead engineering execution with high velocity
  • Design hiring pipelines and recruit top technical talent globally
  • Identify and resolve engineering bottlenecks limiting team impact
  • Partner with leadership to translate technical goals into engineering plans

What you'll need

  • Strong track record in software engineering, AI, or cybersecurity
  • Experience managing and leading technical teams from startup to scale-up
  • Proficiency with Python and cloud infrastructure like GCP
  • Experience with LLM APIs, local frameworks, or evaluation tools
  • Ability to thrive in rapidly evolving and ambiguous environments
  • Strong communication skills for technical and non-technical audiences
  • Proven drive for mission-driven impact in AI safety

Nice to have

  • Experience building or red-teaming frontier LLMs
  • Background in adversarial machine learning or security
  • Prior collaboration with AI labs or government safety institutes
  • Published work in AI safety, security, or robustness
  • Experience building technical products in entrepreneurial settings

Stack

  • Python
  • Claude Code
  • Codex
  • Cursor
  • OpenAI API
  • Anthropic API
  • Google API
  • vLLM
  • Inspect
  • OpenClaw
  • GCP
  • Kubernetes
  • Slurm

How you'll work

  • Fully remote with global eligibility
  • Full-time, 40 hours per week
  • Timezone flexibility required for global team
  • Visa sponsorship available for US and Singapore
  • Employment via EOR or contractor outside US/Singapore

What you get

  • Work on high-impact AI safety research
  • Collaborate with frontier AI labs and governments
  • Opportunity to shape global AI safety standards

Hiring process

  • Submit CV and answer interest questions
  • Short screening call
  • Work tests
  • Interviews
  • Paid work trial