Senior AI Platform Engineer

Singularity IO GmbH; Zürich; Hybrid; CHF 150,000 - 230,000; Full time

Job summary

Singularity IO GmbH in Zürich seeks a Senior AI Platform Engineer to own the sovereign AI platform infrastructure, designing and optimizing GPU-accelerated runtime, ensuring reliability, compliance (EU AI Act, GDPR), and scalable performance for clients and internal digital workforce.

You will build Kubernetes-based pipelines, optimize Ollama inference and vector store (Qdrant), manage cost-efficient GPU scheduling, and collaborate with engineers to enable smooth transitions across workflows.

Qualifications

• 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.

Responsibilities

• Design and maintain the core sovereign platform running on Exoscale 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 GDPR compliance across the entire platform layer
• Collaborate with Agentic AI Engineers to enable seamless transition from Dify low-code to LangGraph production workflows

Skills

Kubernetes

GPU acceleration

High-performance inference

Ollama

Qdrant

LLM serving

Python

Terraform

IaC

Cost optimization

EU AI Act knowledge

Tools

Ollama

Qdrant

NVIDIA GPU Operator

LangGraph

Dify

n8n

Job description

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.

Key Responsibilities

• 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

Required Skills & Qualifications

• 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

Python

You will be working with a modern, sovereign-first technology stack designed for scale and security.

Qdrant

NVIDIA GPU Operator

LangGraph

Dify

n8n

What Success Looks Like

• 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.