ML Engineer (Systems)

About The Role

We are looking for a full-stack ML systems engineer. This is a SENIOR position and you will to work alongside Canyon Code's Chief Architect and the CEO to turn ML systems research into a product that developers and enterprises enjoy using.

You are a good fit if:

- You have 5+ years of professional software engineering experience.

- You have developed multi-agentic systems using multiple tool stacks e.g., LangGraph, AutoGen, CrewAI, Semantic Kernel, or custom agent systems.

- PLUS: You have deployed multi-agentic systems into live production

- You have used model-serving platforms e.g., vLLM, SGLang, Ray, NVIDIA Dynamo

- You have strong full-stack development skills. Especially front-end, including visualization via Tableau, Grafana etc.

- You have used and developed-upon open source software

- PLUS:You have contributed to open-source software

- You have good product instincts: you can take a powerful backend capability and make it legible, useful, and satisfying for developers.

- PLUS: You have worked as Solutions Architect or a Forward Deployment Engineer

- You have experience with APIs, distributed systems, async jobs, queues, containers, deployment systems, or cloud infrastructure.

- You are self-driven and can thrive in ill-defined, ambiguous, dynamic, early-stage work.

- You possess clear written communication. You will help turn research-grade ideas into docs, examples, onboarding flows, and product language.