AI Systems Engineer

Sagora • Boston, MA

4d

About The Position

We are hiring an AI Systems Engineer who blends strong systems instincts with enthusiasm for AI. This is not a role for someone who wishes AI would “go away”; we want engineers who lean into AI as a collaborator and tool for discovering new ideas in computer and networked systems. The goal is to truly transform computer systems design and optimization with AI. You will help design, build, and ship the first versions of Sagora’s product, working closely with the founders and engineering team to translate deep research into production systems.

Requirements

• Experience with AI inference, distributed serving, model optimization, and related topics.
• Hands-on with vLLM, PyTorch, Triton inference server, Ray Serve, or other inference frameworks
• Experience with GPU optimization, kernel design, CUDA programming, and low-level systems performance engineering
• Strong Python and PyTorch fundamentals
• Comfort in building large-scale, high-performance distributed systems
• PhD or equivalent experience (PhD or equivalent + ~5 years is a good sweet spot)
• Dislike for rigid bureaucratic engineering processes, but appreciation for disciplined engineering rigor.

Responsibilities

• Design, build, and deploy core components of Glia’s AI-driven optimization stack.
• Collaborate with the founders to translate research insights into real, usable systems.
• Own critical pieces of the platform: routing, scheduling, autoscaling, hardware selection, inference engine integrations, and more.
• Build prototypes quickly, validate them, and iterate based on user and customer feedback.
• Help establish technical architecture, coding standards, and best practices for a high-velocity engineering culture.
• Set up development workflows, infrastructure, tooling, and deployment pipelines.
• Evaluate third-party tools/services and make key build vs. buy decisions.
• Document design and development work and help establish the foundation for future engineering hires.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree