Senior Principal Platform Engineer - AI Automation
Tasks
- Build AI path to prod
- Build inference endpoints and reproducible AI workflows
- Build scalable AI run stack
- Deploy Kubernetes applications with Helm
- Deploy and scale AI workloads on Kubernetes
- Deploy core AI services
- Design spec driven development
- Develop Kubernetes based AI access platform
- Implement AI security and governance
- Implement Agentic Orchestration
- Implement GitLab CI CD workflows
- Implement vector retrieval augmented generation systems
- Integrate AI models and AI agents
- Integrate MLOps pipelines
- Integrate observability and rollback strategies
- Manage AI model lifecycle and experimentation
- Manage GitOps continuous delivery
- Operationalize AI capabilities
- Provide unified interface for AI model access
- Recommend enterprise AI adoption approaches
- Secure and mature AI platform
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | ArgoCD | Azure | Bash | CI/CD | Cilium | Crossplane | Distributed Training | Docker | Embeddings | GPU | GPU enabled Kubernetes | GitLab CI | GitLab CI/CD | GitOps | Go | Grafana | Helm | Hugging Face | Istio | Keycloak | Kubernetes | LLM | Langchain | MLOps | MLflow | Machine Learning | Model Serving | MySQL | OpenID Connect | PostgreSQL | Prometheus | Prompt injection | PyTorch | Python | REST API | RPC API | Ray | Retrieval-Augmented Generation | SAML | Semantic Search | Service Mesh | Supply Chain | Supply chain security | Terraform | VLLM | Vector Databases
Education
N/A
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