Senior AI Platform Engineer

We are seeking a Senior AI Platform Engineer to take ownership of the foundational infrastructure thatpowers Singularity IO’s sovereign Agentic AI Platform. You will design, build, and optimize the GPU-accelerated runtimeenvironment that enables reliable, compliant, and high-performance autonomous agents at scale.This is a hands-on platform role where your work directly impacts every agent deployed for our clients and our internal digitalworkforce.

• Design and maintain the core sovereign platform running on Exoscale SKS GPU clusters  

• Optimize Ollama inference, model serving, and vector store performance (Qdrant)  

• Build robust Kubernetes-based deployment pipelines and observability systems  

• Implement cost-efficient GPU resource scheduling and auto-scaling strategies  

• Ensure full EU AI Act and DSG/GDPR compliance across the entire platform layer  

• Collaborate with Agentic AI Engineers to enable seamless transition from Dify low-code to LangGraph production workflows

• 5+ years of experience in AI/ML platform engineering or MLOps  

• Strong expertise with Kubernetes, GPU acceleration, and high-performance inference  

• Hands-on experience with Ollama, vector databases (Qdrant), and containerized LLM serving  

• Proficiency in Python, Terraform, and infrastructure-as-code practices  

• Deep understanding of cloud cost optimization and performance tuning at scale  

• Experience in regulated environments (EU AI Act / GDPR) is a strong advantage

• Within 30 days: You will have optimized our core inference pipeline and established new monitoring standards.

• Within 90 days: You will have implemented GPU resource scheduling that improves cost-efficiency by at least 25%.

• Within 6 months: You will be the go-to expert for platform reliability and will have contributed to major upgrades thataccelerate agent deployment speed across the company.