Trusted AI for critical infrastructure to deliver secure, explainable agents across cloud, on-prem, and edge with rapid time to impact.
About the role
Seekr is building the infrastructure that powers the next generation of enterprise AI. As a Staff AI Infrastructure Engineer, you will design, build, and operate the platforms that enable large-scale training, serving, evaluation, and deployment of foundation models and autonomous AI agents.
What they're looking for
- 8–12+ years of professional software engineering experience building distributed systems, cloud infrastructure, or large-scale platform services
- Architects systems, drives technical direction cross-functionally
- 4 year or higher degree or additional relevant experience, in addition to years of work experience
- Demonstrated success designing and operating production Kubernetes environments supporting cloud-native applications and distributed services
- Strong software engineering skills using Python and one or more modern programming languages such as Go, Rust, or C++
- Proven ability to design, build, and operate production AI or machine learning infrastructure
More about this role
Seekr is building the infrastructure that powers the next generation of enterprise AI. As a Staff AI Infrastructure Engineer, you will design, build, and operate the platforms that enable large-scale training, serving, evaluation, and deployment of foundation models and autonomous AI agents.
You will work across distributed systems, Kubernetes, GPU infrastructure, high-performance inference, and enterprise AI platforms to build secure, scalable, and highly reliable systems capable of serving workloads ranging from edge AI deployments to trillion-parameter foundation models.
This role requires deep expertise in distributed systems, cloud-native infrastructure, AI platform engineering, and production software development. You will collaborate with research scientists, software engineers, product teams, and infrastructure engineers to define the architecture and technical direction of Seekr’s AI platform.
- Design, develop, deploy, and maintain production AI infrastructure supporting model training, fine-tuning, inference, evaluation, and agentic AI workloads.
- Design and operate scalable Kubernetes-based infrastructure supporting GPU-accelerated workloads across cloud, on-premises,...
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