What are the responsibilities and job description for the Full-Stack ML Systems Engineer position at Canyon Code?
About Canyon Code
Canyon Code is a Silicon Valley start-up that is tackling some of the stickiest problems in the AI Infrastructure software space. The company’s workflow intelligence layer is a breakthrough technology that gives enterprises the controls to optimize and manage each AI workflow at scale.
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 7 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.
Why Join
You will gain working experience in tackling one of the most topical problems in the intersection of AI Infrastructure software, Enterprise multi-agentic scaling and MLOps-aware developer tool development.
- Work on Frontier AI → Shape software that will redefine what’s possible for AI Infra.
- 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 Infra. software.
Contact: info@canyoncode.ai