Specialized models and agents that execute real processes end-to-end, and compound in capability as your team uses them. Backed by General Catalyst.
About the role
As a Senior MLOps Engineer, you will own the infrastructure that takes Nace.AI 's models from research to reliable, production-grade systems. Our infrastructure generates task-specific Small Language Models (SLMs) in real time — which means our training, serving, and evaluation infrastructure isn't an afterthought; it is the product.
What they're looking for
- 5+ years of experience in MLOps, ML infrastructure, or platform engineering, with substantial production ownership
- Proven experience deploying and scaling LLM, inference infrastructure in production, including model serving frameworks such as TRT, vLLM, SGLang or TGI
- Strong proficiency with Kubernetes , containerization (Docker), and infrastructure-as-code (Terraform or similar)
- Hands-on experience with GPU cluster management and distributed training/serving environments
- Proficient in Python with a strong track record of building substantial, maintainable systems
- Experience with ML pipeline and orchestration tooling (e.g., Airflow, Kubeflow, Ray, MLflow, Weights & Biases)
More about this role
Palo Alto, CA | Full-Time | On-site
At Nace AI, we are redefining how professional services operate by delivering Sovereign Specialized Intelligence. As an applied research and product company, we equip enterprises with a comprehensive AI stack to build customized, secure intelligence tailored to their unique business needs.
Driven by advanced Small Language Models and our dynamic metamodel framework, our flagship platforms - Nace Data Intelligence and the Nace SLM Cloud - enable true end-to-end business process automation. The result is transformative ROI: professional services firms using Nace AI are currently recovering 1,000 hours per client engagement, drastically reducing overhead and accelerating delivery.
The work we are doing has a meaningful impact across industries, and every hire at Nace AI plays a critical role in shaping the company’s trajectory. This is a unique opportunity to join a high conviction AI company at an early stage and directly influence its growth.
If building a world-class AI team from the ground up excites you, we’d love to talk.
As a Senior MLOps Engineer, you will own the infrastructure that takes Nace.AI 's models from research to reliable,...
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