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ML Engineer (Systems)

Silicon Valley · Full-time

About the Role

This is a senior position. You will work alongside Canyon Code's Chief Architect and CEO to turn ML systems research into a product that developers and enterprises enjoy using.

You're a fit if you…

  • Developed multi-agentic systems using LangGraph, AutoGen, CrewAI, Semantic Kernel, or custom agent systems.
  • Deployed multi-agentic systems into live production.Plus
  • Used model-serving platforms such as vLLM, SGLang, Ray, or NVIDIA Dynamo.
  • Strong full-stack development skills, especially front-end and data visualization (Tableau, Grafana, etc.).
  • Used and built upon open-source software.
  • Contributed to open-source projects.Plus
  • Good product instincts: can take a powerful backend capability and make it legible, useful, and satisfying for developers.
  • Experience as a Solutions Architect or Forward Deployment Engineer.Plus
  • Familiar with APIs, distributed systems, async jobs, queues, containers, and cloud infrastructure.
  • Self-driven; thrives in early-stage, ambiguous, fast-moving environments.
  • Clear written communication: can turn research-grade ideas into docs, examples, onboarding flows, and product language.

Why Join

Work on Frontier AI

Shape software that will redefine what's possible for AI infrastructure.

Ownership

Collaborate directly with the founding team and get a hand in shaping the vision of the company.

Visibility & Networking

Collaborate with industry leaders at the forefront of AI infrastructure software.

Interested? Send your resume and a short note on what excites you about this role.