Engineering Site Lead (London)

TL;DR

Engineering Site Lead (AI): Establishing and scaling hirify.global's London office, building high-performance infrastructure and AI infrastructure teams, and driving technical excellence in AI systems. Focus on shaping a world-class engineering culture, making architectural decisions, and ensuring robust systems for large-scale AI/ML workloads.

Location: London, United Kingdom (Hybrid)

Company

hirify.global is revolutionizing information discovery through AI-powered search and knowledge tools, expanding its global footprint with a strategic presence in London.

What you will do

• Establish and lead hirify.global's London office, setting cultural foundations and operating principles.
• Directly manage and mentor one or more infrastructure or AI infrastructure teams (5-15+ engineers).
• Set technical direction and strategy for London-based infrastructure initiatives, aligning with company goals.
• Drive architectural decisions and ensure robust systems for AI/ML workload deployment, monitoring, and scalability.
• Build and scale high-performing teams through strategic hiring and talent development.
• Partner with global teams (Product, Engineering, Research) to deliver infrastructure solutions and align on technical standards.

Requirements

• 10+ years of experience in software engineering, with 5+ years in infrastructure, cloud, or AI infrastructure roles.
• 3+ years of people management experience, including building and scaling teams.
• Proven track record of establishing or significantly growing an engineering site or office.
• Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation.
• Experience with infrastructure supporting large-scale AI/ML systems, including GPU infrastructure and ML training/inference pipelines.
• Strong understanding of modern infrastructure technologies such as Kubernetes, Terraform, and CI/CD systems.

Nice to have

• Experience at companies focused on AI/ML, search, or large-scale consumer applications.
• Previous experience as a site lead, office lead, or similar multi-team leadership role.
• Background in building infrastructure for LLM training or inference.
• Contributions to open-source infrastructure or AI infrastructure projects.
• Experience scaling teams from 0 to 20+ engineers.

Culture & Benefits

• Ground-floor opportunity to build and lead a strategic site for a fast-growing AI company.
• Work on cutting-edge AI infrastructure challenges at massive scale.
• Shape the culture and technical direction of an entire office.
• Competitive compensation including equity.
• Comprehensive benefits package and flexible work environment.
• Opportunity to make a significant impact on how millions of people access and interact with information.