> Markdown version of [/jobs/ext/3056969-ai-field-engineer-ai-infrastructure](https://www.wearedevelopers.com/jobs/ext/3056969-ai-field-engineer-ai-infrastructure). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI Field Engineer, AI Infrastructure

- **Company:** NATIVE AI LLC
- **Location:** San Mateo, CA, United States
- **Experience:** Experienced
- **Salary:** $176,000.0 - $224,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software as a Service, Software Debugging, Python (Programming Language), Large Language Models, Kubernetes, Hardware Infrastructure
- **Published:** September 24, 2026
- **Apply:** https://www.thejobnetwork.com/job/c2eca232-47fa-46d6-bfd3-3efcd5485829/ai-field-engineer-ai-infrastructure-remote-us

## About the Role

* 3+ years in a client-facing AI/ML role - Solutions Architect, Forward-Deployed Engineer, Customer Success Engineer, Applied AI Engineer, Sales Engineer, or an AI/ML-focused SWE with genuine customer exposure
 * Real hands-on experience with open-model LLM inference and/or fine-tuning
 * Hyperscaler experience in an AI context (AWS, Azure, or GCP)
 * Strong Python skills, comfort with GPU infrastructure and Kubernetes
 * A background at an AI-native company or a SaaS company genuinely building AI features (not bolting them on)
 * Full-time work history, and openness to travel to enterprise customers as needed

Key Success Drivers

You're the rare person equally comfortable debugging inference trade-offs with an ML engineer in the morning and presenting the same trade-offs to a VP by afternoon. You bring genuine customer obsession alongside technical depth - this role rewards people who've shipped things themselves, not just advised on them. Strong candidates own outcomes end-to-end and know how to build trust across both engineering and executive stakeholders.



## Related Videos

- [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way)
- [Developer Tools for Microsoft Azure](https://www.wearedevelopers.com/videos/450-developer-tools-for-microsoft-azure)
- [Using AI Without Losing Your Skills](https://www.wearedevelopers.com/videos/2045-using-ai-without-losing-your-skills)
- [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps)
- [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing)
- [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)
- [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)