About the Role
We are seeking a world-class AI Engineer to join our core platform team. At SingularityNET, we build high-signal, sovereign AI infrastructure for premium Swiss enterprises. You will be instrumental in designing and deploying scalable machine learning models that operate within strict data privacy and compliance frameworks, including the EU AI Act.
This role requires a deep understanding of modern LLM architectures, fine-tuning methodologies, and production-grade deployment pipelines. You will work alongside a team of senior engineers and researchers who value clean code, robust architecture, and measurable impact.
Key Responsibilities
- Architect and deploy sovereign LLM solutions using state-of-the-art open-source models.
- Design robust RAG (Retrieval-Augmented Generation) pipelines optimized for enterprise data security.
- Collaborate with cross-functional teams to ensure all AI deployments comply with the EU AI Act and Swiss data protection laws.
- Optimize model inference latency and throughput in containerized environments (Kubernetes).
- Establish and maintain rigorous testing and evaluation frameworks for AI outputs.
Required Skills & Qualifications
We are looking for candidates who possess a strong foundation in software engineering combined with specialized expertise in artificial intelligence.
PythonPyTorchLLM Fine-tuningRAG ArchitectureKubernetesDockerCI/CD
Our Technology Stack
You will be working with a modern, sovereign-first technology stack designed for scale and security.
OllamaLangGraphCrewAIDifyn8nExoscale SKSQdrant
What Success Looks Like
- Within 1 month:You will have successfully deployed your first sovereign model to our staging environment and integrated it with our internal evaluation tools.
- Within 3 months:You will lead the optimization of our core RAG pipeline, reducing latency by 30% while maintaining strict compliance standards.
- Within 6 months:You will be a key contributor to our open-source initiatives and represent SingularityNET's engineering excellence in client technical workshops.