AI Systems Engineer

AI Systems Engineer

🧠 The mission

This company is designing a new execution layer where:

• Workloads are dynamically decomposed
• Compute is allocated in real time
• Performance is pushed to the physical limits of hardware

This is first-principles engineering applied to AI infrastructure.

🚀 The role

You’ll be operating at the boundary of:

• Distributed systems
• High-performance compute
• Real-world AI deployment

You’ll:

• Design and build core systems from zero → production
• Solve latency, throughput, and memory constraints at scale
• Work directly on how inference actually executes
• Make decisions that define the architecture of the company

⚙️ What you need

• Exceptional backend / systems fundamentals
• Experience with distributed systems or performance-critical infrastructure
• Comfort operating in high ambiguity, low structure
• A bias toward building over discussing
• Bonus (not required):
• AI/ML systems, compilers, runtimes, or GPU optimisation

🌍 The setup

• Small, high-calibre team
• Deep technical focus — no fluff, no layers
• Early enough that your work becomes foundational
• Building something that, if successful, every AI company will need