Head of Engineering (Frontier Safety)

About the Role

FAR.AI is seeking a Head of Engineering for its Frontier Safety division, which runs one of the world's most impactful frontier AI testing programs. This role focuses on building the engineering and execution engine that enables and empowers the division's work across testing, evaluations, tools, products, services, and research.

Key Responsibilities

• Build and scale red-teaming tools and products that improve speed, coverage, and importance of findings
• Operationalize and scale systems that advance state-of-the-art attacker simulation and output severity evaluation
• Maintain and evolve internal vulnerability databases, statistical analysis tools, and reporting infrastructure
• Develop agentic systems, including automated red-teaming agents that systematically explore the attack space, agents that identify and automatically integrate new public jailbreaks, and agents that automate workflows
• Build, test, and refine sandboxing architecture that enables rapid and thorough evaluation of the strongest AI systems
• Extend infrastructure and tooling to support CBRN and cyber evaluations and loss-of-control testing
• Design and implement architecture that enables external contributions to the platform and integration with the AI evaluation ecosystem
• Integrate systems with the overall division to empower velocity and quality of testing
• Mentor team members in engineering skills
• Manage team members, supporting and amplifying their impact
• Initially build and manage a team of ICs, then hire or grow managers over time
• Design and be hiring manager for pipelines to scale the engineering team
• Contribute to the overall technical and product strategy of the division
• Pair closely with Kellin on technical direction
• Work closely with and potentially manage the company engagements and testing team
• Partner closely with the rest of the division and with teams across FAR.AI

Required Qualifications

• 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 both building start-ups (0 → 1) and scale ups (managing managers)
• Experience with parts of the tech stack we commonly use, such as coding agents, Python, LLM APIs, local LLM frameworks, evaluation frameworks, LLM agents, cloud infrastructure, compute clusters
• Have thrived in rapidly evolving environments
• Demonstrated drive for mission/impact and desire to create a real impact on frontier AI systems
• Can effectively communicate technical solutions to both technical and non-technical audiences
• Demonstrated relentlessness in achieving ambitious goals

Preferred Qualifications

• Experience building, red-teaming, or evaluating frontier LLMs or agentic systems, or building safeguards for them
• Experience building technical teams and products in an entrepreneurial environment
• Demonstrated ability to discover non-obvious, high-severity vulnerabilities in complex systems
• Other experience in closely related areas like adversarial ML or security
• Prior collaboration with AI labs, security teams, or government safety institutes
• Published work in AI safety, security, or robustness