Senior AI DevOps / LLMOps
Tasks
- Build evaluation in the loop release gates
- Capture production edge cases for model training feedback
- Define policy as code for AI endpoint compliance
- Deploy agentic workflows with stateful interactions
- Design CI CD pipelines for AI deployments
- Ensure hybrid infrastructure environment parity
- Implement dataset and model weight versioning workflows
- Implement progressive delivery for AI models
- Monitor tokens per second latency and model drift
- Provision GPU and TPU compute environments using Infrastructure as Code
- Run A B testing for LLM outputs and agent behavior
- Set up observability for inference endpoints
- Version control and test prompts with regression checks
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Ansible | Arize Phoenix | B testing | Blue/green | Blue/green deployments | CUDA | Canary Releases | GPU virtualization | GitHub Actions | GitLab CI | Inference monitoring | Kubeflow | Kubernetes | Langsmith | MLflow | NVIDIA Triton | Open Policy Agent | Policy Agent | Progressive Delivery | Pulumi | Ray | Shadowing | Terraform | Vault | Weights and Biases
Education
N/A
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